SlideShare a Scribd company logo
International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016
DOI : 10.5121/ijctcm.2016.6301 1
MODIFIED DIRECT TORQUE CONTROL FOR BLDC
MOTOR DRIVES
Fatih Korkmaz, smail Topaloğlu and Hayati Mamur
Department of Electric-Electronic Engineering, Çankırı Karatekin University,
Uluyazı Kampüsü, Çankırı, Turkey
ABSTRACT
In this paper, a new adaptive reference based approach to direct torque control (DTC) method has been
proposed for brushless direct current (BLDC) motor drives. Conventional DTC method uses two main
reference parameters as: flux and torque. A main difference from the conventional method of it was that
only one reference parameter (speed) was used to control the BLDC motor and the second control
parameter (flux) was obtained from speed error through the proposed control algorithm. Thus, the DTC
performance has been especially improved on systems which need variable speed and torque during
operation, like electric vehicles. The dynamic models of the BLDC and the DTC method have been created
on Matlab/Simulink. The proposed method has been confirmed and verified by the dynamic simulations on
different working conditions. The simulation studies showed that the proposed method reduced remarkably
the speed and the torque ripples when compared the conventional DTC method. Moreover, the proposed
method has also very simple structure to apply the conventional DTC and its extra computational load to
the controller is almost zero.
KEYWORDS
Brushless machines, Direct torque control, Vector control, Torque control
1. INTRODUCTION
The BLDC motors are in our life for many years in computers, robotics, aerospace applications etc.
In recent years, the BLDC motors applications have became more popular in industrial and daily
utilization, like CNC machine tools, servo systems, home appliances, and electric vehicles. The
main reasons of the increasing on popularity of the BLDC motors, in other words, main advantages
of the BLDC motors, can be listed as follows[1-4]:
• High efficiencies
• High power densities
• High starting torque
• Wide speed ranges
• Linear torque and speed characteristics
• Low maintenance and works in any condition
The BLDC motors not only have advantages of conventional DC motors but also have advantages
of AC motors as can be seen from the list. Because, they have the AC motor mechanical structures
–no brushes or collectors–while they have the DC motors electrical characteristic.[5]
The DTC method was developed by Takahashi in the middle of the 1980s, for three phase induction
motors. The DTC method converts three phase parameters of the motor (three phase voltage and
currents) to two phase independent vector components with Clarke transformation; thus, it proposes
control of every component separately, like conventional DC motors. Although, it was developed
for the induction motors, it has been applied many other motor types like permanent magnet AC
motors, BLDC motors, switched reluctance motors, linear motors[6-7].
International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016
2
In literature, many kind of BLDC motor drive methods can be found. In [8], artificial neural
networks based method was used in modeling of BLDC to get the maximum power consumption.
Very simple and effective three-level neutral point clamped inverter was proposed to drive axial
flux BLDC motors, in [9]. Field Programmable Gate Array (FPGA) based BLDC motor driver with
using digital pulse-width modulation (PWM) is presented in [10]. In addition, several different
methods, which based of the DTC, were studied in BLDC drivers. Reference [11] proposes the
DTC method for matrix converter fed BLDC motor. The DTC of BLDC motor method using with
four-switch inverter in constant torque region was proposed in [12].
In this paper, a new approach to the DTC method has been proposed for small scale electric vehicles
that work in variable speed and torque conditions, naturally. In the proposed method, optimum
stator flux reference value was obtained by PI controller with usage of the speed error. The dynamic
model of the proposed method was developed with Matlab/Simulink. The dynamic simulations
were performed and results were presented to illustrate the validity of the proposed method.
2. DIRECT TORQUE CONTROL OF BLDC
The BLDC motor has three phase stator windings with permanent magnet rotor and electrical model
of the motor that connected with PWM inverter, is given in Fig. 1[13].
Voltage equations of the motor can be obtained by the following equation;
൥
Vୟ
Vୠ
Vୡ
൩ = ൥
R 0 0
0 R 0
0 0 R
൩ ൥
iୟ
iୠ
iୡ
൩ + ൥
L 0 0
0 L 0
0 0 L
൩
ୢ
ୢ୲
൥
iୟ
iୠ
iୡ
൩ + ൥
eୟ
eୠ
eୡ
൩ (1)
Where	Vୟ,	Vୠ, Vୡ are phase voltages, R is phase resistance, L is phase inductance, iୟ, 	iୠ, iୡ are phase
currents and eୟ, eୠ, eୡ are back EMFs.
Figure 1. Electrical Model of the Motor that Connected with PWM Inverter
The mechanical moment equation of the motor given by the following equation;
Tୣ = T୐ + Bω୫ + j
ୢωౣ
ୢ୲
(2)
Tୣ and T୐ describes generated electromagnetic torque and load torque, respectively.	B is the friction
coefficient, j is the inertia and ω୫ is the angular velocity of rotor[14].
The DTC method needs to transformation of the three phase motor parameters to two phases. In this
transformation, electrical parameters of the motor (voltages, currents, back emf) should to be
transformed to stationary reference frame and it can also be named as α − β transformation or
Clarke transformation in many sources. The Clarke transformation matrix is given (3).
International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016
3
൤
fα
fβ
൨ =
ଶ
ଷ
቎
1 −
ଵ
ଶ
−
ଵ
ଶ
0
√ଷ
ଶ
−
√ଷ
ଶ
቏ ൥
fୟ
fୠ
fୡ
൩ (3)
Where, fα,	fβ are α − β components of motor parameters, and fୟ, fୠ, fୡ are the abc frame
components [15].
With the transforming of the three phase parameters of the motor, α − β components of the phase
voltages can be written as:
vୱα = Rୱiୱα + Lୱ
ୢ୧౩α
ୢ୲
+ eα (4)
vୱβ = Rୱiୱβ + Lୱ
ୢ୧౩β
ୢ୲
+ eβ (5)
Where vୱα, vୱβ are the stator voltages, iୱα, iୱβ are the stator currents and eα, eβ are back emf in the
α − β referance frame.
In the DTC scheme, stator flux components are obtained from α − β components of the measured
stator voltages and currents as given below [16]:
λୱα = ‫׬‬ሺvୱα − Rୱiୱαሻdt (6)
λୱβ = ‫׬‬൫vୱβ − Rୱiୱβ൯dt (7)
The magnitude of the flux can be calculated with;
λ = ටλୱα
ଶ
+ λୱβ
ଶ
(8)
and position of the stator flux vector can be calculated with;
θ = arctan
λ౩β
λ౩α
(9)
The calculation of the electromagnetic torque of the BLDC motor in α − β reference frame is given
below;
Tୣ =
ଷ୮
ସ
ቂ
ୢλ౨α
ୢθ౛
iୱα +
ୢλ౨β
ୢθ౛
iୱβቃ (10)
Where λ୰α and λ୰β are the α − β components of the rotor flux vector, p is the number of the poles
and θୣ	is electrical angle of the rotor.
The α − β components of the rotor flux vector can be obtained as:
λ୰α = λୱα − Lୱiୱα (11)
λ୰β = λୱβ − Lୱiୱβ (12)
The different forms of the rotor flux α − β components can also be obtained from the following
equations;
International Journal of Control Theory a
ୢλ౨α
ୢθ౛
=
ୢλ౨α
ୢ୲
ୢ୲
ୢθ
ୢλ౨β
ୢθ౛
=
ୢλ౨β
ୢ୲
ୢ୲
ୢθ
It means, electromagnetic torque can be
Tୣ =
ଷ୮
ସ
ቂ
ୣα
ω౛
iୱ
The six active voltage vector, PWM inverter switching states and stator voltage vector sectors are
shown in Figure 2. Inverter switching look
Figure 2. PWM
Table
onal Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016
ୢ୲
θ౛
=
ଵ
ω౛
ୢλ౨α
ୢ୲
=
ୣα
ω౛
(13)
ୢ୲
θ౛
=
ଵ
ω౛
ୢλ౨β
ୢ୲
=
ୣβ
ω౛
(14)
, electromagnetic torque can be written with in another form as:
ቂ ୱα +
ୣβ
ω౛
iୱβቃ (15)
The six active voltage vector, PWM inverter switching states and stator voltage vector sectors are
. Inverter switching look-up table is also given in Table 1.
PWM Inverter Switching States and Stator Voltage Vector Sectors
able 1. Inverter Switching Look-Up Table
Vol.6, No.3, July 2016
4
The six active voltage vector, PWM inverter switching states and stator voltage vector sectors are
nd Stator Voltage Vector Sectors
International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016
5
Figure 3. The Conventional DTC Block Diagram
In the conventional DTC (C-DTC) method, control algorithms works with two separate reference
values as torque (or speed) and flux references. Because, in idea of the DTC, stator flux vector has
two components (α − β components) and they can be controlled independently from each other.
One of them controls flux, while the other one controls torque. In generally, flux reference is kept
constant and the speed control of the motor can be achieved by setting up the torque reference
value. This approach is very appropriate for constant torque-variable speed applications. The
conventional DTC block diagram is given in Figure 3.
3. ADAPTIVE FLUX BASED METHOD
In variable torque and variable speed applications, like small electric vehicles, keeping the flux
constant causes high torque and speed ripples. A new approach was designed and investigated in
this paper to overcome this problem. In the proposed approach, a new PI controller was used to
determine optimum flux reference value according the motor speed. So, two different PI controllers
were used in proposed DTC (P-DTC) method. One of the PI controllers calculates reference torque
and the other one calculates reference flux with use of the speed error. The proposed DTC Simulink
block diagram was given in Figure 4.
In dynamic simulations, the BLDC motor was performed under two different working conditions.
The parameters of the blocks and the motor that used in dynamic simulations were given in
appendix. Total simulation time was 1 sec. for all conditions. The sampling time was 10 µs.
The motor load constant (5Nm) and the speed reference was changed 500 rpm to 1500 rpm at 1.
sec. in first working condition. The speed and the torque responses of the motor were given in Fig. 5
and Fig. 6, respectively.
International Journal of Control Theory a
Figure
Figure 5. Overview to Speed Responses
Figure 6. Zoomed-View to Speed Responses of t
onal Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016
ure 4. The Proposed DTC Simulink Block Diagram
o Speed Responses of the BLDC in Variable Speed-Constant Load
View to Speed Responses of the BLDC in Variable Speed-Constant Load
Vol.6, No.3, July 2016
6
Constant Load
Constant Load
International Journal of Control Theory a
Figure 7. Torque
It can be seen in Figure 5–7. that, the BLDC motor speed and torque responses were improved with
the P-DTC method. The torque and speed ripples reduced remarkably with the P
especially in high speed reference values. In
were almost same with both methods.
Figure 8. Overview to Speed Responses of t
Figure 9. Zoomed- View to Speed Responses of t
onal Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016
Torque Responses of the BLDC in Variable Speed-Constant Load
that, the BLDC motor speed and torque responses were improved with
DTC method. The torque and speed ripples reduced remarkably with the P-
especially in high speed reference values. In 500 rpm speed reference, the motor dynamic behaviors
ere almost same with both methods.
to Speed Responses of the BLDC in Variable Torque-Constant Speed
View to Speed Responses of the BLDC in Variable Torque-Constant Speed
Vol.6, No.3, July 2016
7
Constant Load
that, the BLDC motor speed and torque responses were improved with
-DTC method
00 rpm speed reference, the motor dynamic behaviors
Constant Speed
Constant Speed
International Journal of Control Theory a
Figure 10. Torque
In the second test, the motor was simulated at constant speed reference (2000 rpm) and the torque
reference was changed to 0 Nm to 5 Nm at
were given in Figure 8–10, respectively
After the second test studies, which t
torque curves were showed that the motor
variable torque conditions. The C
reference. But with the P-DTC method
The dynamic simulations proved
method. Moreover, the computational times of the both system were compared during the tests and
it must be pointed out that the P
DTC. So, it can be said that, the proposed method has n
can applicable on BLDC motor driven electric vehicles.
4. CONCLUSIONS
In recent years, BLDC motors have been used many industrial applications and it has gain great
popularity between electric motors. On the other hand, the DTC is well
control method not only for induction motors but also many other motor types. This
a new perspective to the conventional
BLDC motors which considered
variable speed and torque conditions with single reference in
method was modified with the adding of second PI controller that produces optimum flux reference.
In order to test the validity and
been performed under different working conditions and results were presented.
results showed that the proposed method reduced remarkably the speed and the torque ripples when
compared conventional DTC method. The proposed method
the conventional DTC and its extra computational load to the contro
APPENDIX
The parameters of the blocks and the motor that used in dynamic simulations are
400V, stator phase resistance, Rs (ohm) = 0.45, stator phase inductance Ls (H) = 8.5e
hysteresis band limits = ±0.005, torque hysteresis band limits = ±0.02, stator flux reference = 0.32
weber, sampling time 10 µsec.
onal Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016
Torque Responses of the BLDC in Variable Torque-Constant Speed
In the second test, the motor was simulated at constant speed reference (2000 rpm) and the torque
Nm to 5 Nm at 1. sec. The speed and the torque responses of
, respectively.
After the second test studies, which the torque reference value was changed, the speed and the
that the motor performance was also improved in constant speed
que conditions. The C-DTC method had much torque peaks especially in
method, the motor had very small peaks for both torque references.
d that the P-DTC method can be a good alternative to the
Moreover, the computational times of the both system were compared during the tests and
P-DTC method had almost same computational time with the
DTC. So, it can be said that, the proposed method has not extra load on controller structu
motor driven electric vehicles.
, BLDC motors have been used many industrial applications and it has gain great
popularity between electric motors. On the other hand, the DTC is well-known high performance
control method not only for induction motors but also many other motor types. This paper presents
conventional DTC method. The proposed DTC method applied
BLDC motors which considered drives small size electric vehicles. These vehicles works in
variable speed and torque conditions with single reference input: speed. The conventional DTC
modified with the adding of second PI controller that produces optimum flux reference.
validity and applicability of the proposed method, dynamic simulations
nt working conditions and results were presented. The simulations
results showed that the proposed method reduced remarkably the speed and the torque ripples when
compared conventional DTC method. The proposed method had also very simple structure to apply
the conventional DTC and its extra computational load to the controller was almost zero.
The parameters of the blocks and the motor that used in dynamic simulations are, DC bus voltage
400V, stator phase resistance, Rs (ohm) = 0.45, stator phase inductance Ls (H) = 8.5e
hysteresis band limits = ±0.005, torque hysteresis band limits = ±0.02, stator flux reference = 0.32
Vol.6, No.3, July 2016
8
Constant Speed
In the second test, the motor was simulated at constant speed reference (2000 rpm) and the torque
. sec. The speed and the torque responses of the motor
, the speed and the
also improved in constant speed -
much torque peaks especially in 0 Nm torque
very small peaks for both torque references.
to the C-DTC
Moreover, the computational times of the both system were compared during the tests and
almost same computational time with the C-
ot extra load on controller structure and it
, BLDC motors have been used many industrial applications and it has gain great
known high performance
paper presents
DTC method. The proposed DTC method applied to the
. These vehicles works in
put: speed. The conventional DTC
modified with the adding of second PI controller that produces optimum flux reference.
applicability of the proposed method, dynamic simulations were
The simulations
results showed that the proposed method reduced remarkably the speed and the torque ripples when
also very simple structure to apply
almost zero.
, DC bus voltage
400V, stator phase resistance, Rs (ohm) = 0.45, stator phase inductance Ls (H) = 8.5e-3, flux
hysteresis band limits = ±0.005, torque hysteresis band limits = ±0.02, stator flux reference = 0.32
International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016
9
ACKNOWLEDGEMENTS
Thanks to Cankırı Karatekin University because of their valuable contributions to this paper.
This research was funded by a grant (No. MF050315B15) from the Research Council of Cankırı
Karatekin University. This research was performed in cooperation with the Institution.
REFERENCES
[1] C. Xia, Z. Li, and T. Shi, “A Control Strategy for Four-Switch Three-Phase Brushless DC Motor
Using Single Current Sensor”, Industrial Electronics, IEEE Transactions on , vol.56, no.6, pp. 2058–
2066, June 2009.
[2] Z. Xiaofeng, L. Zhengyu, "A new BLDC motor drives method based on BUCK converter for torque
ripple reduction,", Power Electronics and Motion Control Conference, 2006. IPEMC 2006. CES/IEEE
5th International , vol.2, no., pp.1–4, 14-16 Aug. 2006
[3] I. Topaloglu, F. Korkmaz, H. Mamur, R. Gurbuz, “Closed-Loop speed control of PM-BLDC motor
fed by six step inverter and effects of inertia changes for desktop CNC machine” Elektronika IR
Elektrotechnika, vol. 19, no 1, pp. 7–10, 2013.
[4] I. Tarimer, A. Akpunar, R. Gurbuz, “Design of a direct sliding gearless electrical motor for an
ergonomic electrical wheelchair”, Elektronika IR Elektrotechnika, no 3, pp. 75–80, 2008.
[5] F. Korkmaz “A New Approach to DTC Method For BLDC Motor Adjustable Speed Drives” The
Fourth International Conference on Instrumentation and Control Systems(CICS-2016), vol. 6, no 5,
pp-37–44, April 2016
[6] I. Takahashi and T. Noguchi , “A new quick-response and high efficiency control strategy of an
induction motor” IEEE Transactions on Industrial Applications, vol.I A-22 , no.5, pp. 820–827, 1986.
[7] F. Korkmaz, I. Topaloglu, R. Gurbuz, “Simulink model of vector controlled linear induction motor
with end effect for electromagnetic launcher system”, Elektronika IR Elektrotechnika, vol. 20, no 1,
pp. 29–32, 2014.
[8] M. Nizam, A. Mujianto, H. Triwaloyo, Inayati, "Modelling on BLDC motor performance using
artificial neural network (ANN)", Rural Information & Communication Technology and Electric-
Vehicle Technology (rICT & ICeV-T), 2013 Joint International Conference on , vol., no., pp.1–4, 26-
28 Nov. 2013.
[9] S. De, M. Rajne, S. Poosapati, C. Patel, K. Gopakumar, "Low-inductance axial flux BLDC motor
drive for more electric aircraft", Power Electronics, IET , vol.5, no.1, pp.124–133, January 2012.
[10] A. Tashakori, M. Hassanudeen, M. Ektesabi, "FPGA based controller drive of BLDC motor using
digital PWM technique", Power Electronics and Drive Systems (PEDS), 2015 IEEE 11th
International Conference on , vol., no., pp.658–662, 9-12 June 2015.
[11] R. Muthu, M.S. Kumaran, L.A. Rajaraman, P. Ganesh, P. Reddy, "Direct Torque Control of matrix
converter fed BLDC motor", Power Electronics (IICPE), 2014 IEEE 6th India International
Conference on , vol., no., pp.1–6, 8-10 Dec. 2014.
[12] S.B. Ozturk, W.C. Alexander, H.A. Toliyat, "Direct torque control of four-switch brushless DC Motor
with non-sinusoidal back-EMF", Power Electronics Specialists Conference, 2008. PESC 2008. IEEE ,
vol., no., pp.4730–4736, 15-19 June 2008.
[13] W.S. Im, W. Liu, J.M. Kim, "Sensorless control of 3-phase BLDC motors using DC current model",
Energy Conversion Congress and Exposition (ECCE), 2014 IEEE , vol., no., pp.4484–4490, 14-18
Sept. 2014.
[14] P.K. Girija, A. Prince, "Robustness evaluation of SMO in sensorless control of BLDC motor under
DTC scheme", Power Signals Control and Computations (EPSCICON), 2014 International
Conference on , vol., no., pp.1-6, 6-11 Jan. 2014.
[15] F. Korkmaz, I. Topaloglu, M.F. Cakir, R. Gurbuz, "Comparative performance evaluation of FOC and
DTC controlled PMSM drives", Power Engineering, Energy and Electrical Drives (POWERENG),
2013 Fourth International Conference on , vol., no., pp.705–708, 13-17 May 2013.
[16] F. Korkmaz, M.F. Cakir, Y. Korkmaz, I. Topaloglu, “Fuzzy based stator flux optimizer design for
direct torque control”, International Journal of Instrumentation and Control Systems (IJICS), vol.2,
no.4, pp. 41–49, October 2012.

More Related Content

PDF
Comparing of switching frequency on vector controlled asynchronous motor
ijscai
 
PDF
Converter driver dc motor
alexis marck Huiza Canchanya
 
PDF
A Three-to-Five-Phase Matrix Converter BasedFive- Phase Induction Motor Drive...
idescitation
 
PDF
FLC-Based DTC Scheme for a New Approach of Two-Leg VSI Fed Induction Motor
IJERA Editor
 
PDF
MRAS Speed Sensorless Vector Control of Induction Motor Drives using Predicti...
International Journal of Power Electronics and Drive Systems
 
PDF
Performance & Analysis of Single-Phase Inverter Fed Three-phase Induction Mot...
ijiert bestjournal
 
PDF
Gz3512221228
IJERA Editor
 
PDF
STATOR FLUX OPTIMIZATION ON DIRECT TORQUE CONTROL WITH FUZZY LOGIC
cscpconf
 
Comparing of switching frequency on vector controlled asynchronous motor
ijscai
 
Converter driver dc motor
alexis marck Huiza Canchanya
 
A Three-to-Five-Phase Matrix Converter BasedFive- Phase Induction Motor Drive...
idescitation
 
FLC-Based DTC Scheme for a New Approach of Two-Leg VSI Fed Induction Motor
IJERA Editor
 
MRAS Speed Sensorless Vector Control of Induction Motor Drives using Predicti...
International Journal of Power Electronics and Drive Systems
 
Performance & Analysis of Single-Phase Inverter Fed Three-phase Induction Mot...
ijiert bestjournal
 
Gz3512221228
IJERA Editor
 
STATOR FLUX OPTIMIZATION ON DIRECT TORQUE CONTROL WITH FUZZY LOGIC
cscpconf
 

What's hot (20)

PDF
An investigation on switching
csandit
 
PDF
Aw35271276
IJERA Editor
 
PDF
A034301010
ijceronline
 
PDF
dynamic of dc motor
WisamMohamed1
 
PDF
A review of direct torque control development in various multilevel inverter ...
International Journal of Power Electronics and Drive Systems
 
PDF
DTC Scheme for a Four-Switch Inverter-Fed PMBLDC Motor Emulating the Six-Swit...
IJRST Journal
 
PPTX
Field oriented control of induction motor based on
AMRITAKUMARI21408
 
PDF
Modelling of a 3-Phase Induction Motor under Open-Phase Fault Using Matlab/Si...
IJPEDS-IAES
 
PDF
An efficient predictive current controller with adaptive parameter estimation...
International Journal of Power Electronics and Drive Systems
 
PDF
Experiment based comparative analysis of stator current controllers using pre...
journalBEEI
 
PDF
Simulation Approach to Speed Control of PMBLDC Motor using Various Control Te...
IJMTST Journal
 
PDF
Design of PI and Fuzzy Logic Controllers for Distribution Static Compensator
International Journal of Power Electronics and Drive Systems
 
PDF
Speed Control of Induction Motor using FOC Method
IJERA Editor
 
PDF
SENSORLESS VECTOR CONTROL OF BLDC USING EXTENDED KALMAN FILTER
sipij
 
PDF
MATLAB Simulation on Speed Control of Four Quadrant DC Drive Using Chopper
IRJET Journal
 
PDF
Speed Sensorless Vector Control of Unbalanced Three-Phase Induction Motor wit...
IAES-IJPEDS
 
PDF
Modified Look-Up Table for Enhancement of Torque Response in Direct Torque Co...
International Journal of Power Electronics and Drive Systems
 
PDF
Constant Switching Frequency and Torque Ripple Minimization of DTC of Inducti...
International Journal of Power Electronics and Drive Systems
 
PDF
H0361039052
ijceronline
 
PDF
Implementation of speed control of sensorless brushless DC motor drive using ...
International Journal of Power Electronics and Drive Systems
 
An investigation on switching
csandit
 
Aw35271276
IJERA Editor
 
A034301010
ijceronline
 
dynamic of dc motor
WisamMohamed1
 
A review of direct torque control development in various multilevel inverter ...
International Journal of Power Electronics and Drive Systems
 
DTC Scheme for a Four-Switch Inverter-Fed PMBLDC Motor Emulating the Six-Swit...
IJRST Journal
 
Field oriented control of induction motor based on
AMRITAKUMARI21408
 
Modelling of a 3-Phase Induction Motor under Open-Phase Fault Using Matlab/Si...
IJPEDS-IAES
 
An efficient predictive current controller with adaptive parameter estimation...
International Journal of Power Electronics and Drive Systems
 
Experiment based comparative analysis of stator current controllers using pre...
journalBEEI
 
Simulation Approach to Speed Control of PMBLDC Motor using Various Control Te...
IJMTST Journal
 
Design of PI and Fuzzy Logic Controllers for Distribution Static Compensator
International Journal of Power Electronics and Drive Systems
 
Speed Control of Induction Motor using FOC Method
IJERA Editor
 
SENSORLESS VECTOR CONTROL OF BLDC USING EXTENDED KALMAN FILTER
sipij
 
MATLAB Simulation on Speed Control of Four Quadrant DC Drive Using Chopper
IRJET Journal
 
Speed Sensorless Vector Control of Unbalanced Three-Phase Induction Motor wit...
IAES-IJPEDS
 
Modified Look-Up Table for Enhancement of Torque Response in Direct Torque Co...
International Journal of Power Electronics and Drive Systems
 
Constant Switching Frequency and Torque Ripple Minimization of DTC of Inducti...
International Journal of Power Electronics and Drive Systems
 
H0361039052
ijceronline
 
Implementation of speed control of sensorless brushless DC motor drive using ...
International Journal of Power Electronics and Drive Systems
 
Ad

Viewers also liked (14)

PPT
Www.ebo.vn bao cao_ruou_ngot
Chu Kien
 
PDF
Controller Design Based On Fuzzy Observers For T-S Fuzzy Bilinear Models
ijctcm
 
TXT
1001 ten be trai
Chu Kien
 
PPTX
Catalogo de celulares
Luca Mazzieri
 
TXT
Ky thuat nuoi chao mào
Chu Kien
 
PPT
Trac nghiem he noi tiet
Chu Kien
 
PPT
Tiet 15 sản xuất ruou etylic tu ri duong
Chu Kien
 
PPT
Tiet 15 nấu bia và lên men bia
Chu Kien
 
PPT
Bài giảng vsv nông nghiệp
Chu Kien
 
PPT
Tiet 13 nuôi cấy nấm men và lên men dịch đường hóa
Chu Kien
 
PPT
Tiet 2 giống vi sinh vật
Chu Kien
 
PPT
Ky nang giang day
Chu Kien
 
PPT
Sinh ly dong vat on thi hsg quoc gia
Chu Kien
 
PDF
OPTIMIZATION APPROACHES IN OPTIMAL INTEGRATED CONTROL, COMPUTATION AND COMMUN...
ijctcm
 
Www.ebo.vn bao cao_ruou_ngot
Chu Kien
 
Controller Design Based On Fuzzy Observers For T-S Fuzzy Bilinear Models
ijctcm
 
1001 ten be trai
Chu Kien
 
Catalogo de celulares
Luca Mazzieri
 
Ky thuat nuoi chao mào
Chu Kien
 
Trac nghiem he noi tiet
Chu Kien
 
Tiet 15 sản xuất ruou etylic tu ri duong
Chu Kien
 
Tiet 15 nấu bia và lên men bia
Chu Kien
 
Bài giảng vsv nông nghiệp
Chu Kien
 
Tiet 13 nuôi cấy nấm men và lên men dịch đường hóa
Chu Kien
 
Tiet 2 giống vi sinh vật
Chu Kien
 
Ky nang giang day
Chu Kien
 
Sinh ly dong vat on thi hsg quoc gia
Chu Kien
 
OPTIMIZATION APPROACHES IN OPTIMAL INTEGRATED CONTROL, COMPUTATION AND COMMUN...
ijctcm
 
Ad

Similar to MODIFIED DIRECT TORQUE CONTROL FOR BLDC MOTOR DRIVES (20)

PDF
A NEW APPROACH TO DTC METHOD FOR BLDC MOTOR ADJUSTABLE SPEED DRIVES
cscpconf
 
PDF
Closed Loop Speed Control of a BLDC Motor Drive Using Adaptive Fuzzy Tuned PI...
IJERA Editor
 
PDF
[000007]
Al Mtdrs
 
PDF
Speed control of motor usinng matlab
shadabshaikh102
 
PDF
C010511620
IOSR Journals
 
PDF
Performance enhancement of BLDC motor using PID controller
International Journal of Power Electronics and Drive Systems
 
PDF
COMPARING OF SWITCHING FREQUENCY ON VECTOR CONTROLLED ASYNCHRONOUS MOTOR
ijscai
 
PDF
Review of the DTC Controller and Estimation of Stator Resistance in IM Drives
IAES-IJPEDS
 
PDF
78201910
IJRAT
 
PDF
C010231319
IOSR Journals
 
PDF
Investigation of Artificial Neural Network Based Direct Torque Control for PM...
cscpconf
 
PDF
Comparitive Analysis of Speed and Position Control of BLDC Motor via Field Or...
IRJET Journal
 
PDF
Improved Torque Control Performance in Direct Torque Control using Optimal Sw...
IJPEDS-IAES
 
PDF
CONTROL OF AN INDUCTION MOTOR WITH DOUBLE ANN MODEL BASED DTC
csandit
 
PDF
D0262019026
inventionjournals
 
PDF
D0262019026
inventionjournals
 
PDF
International Journal of Engineering and Science Invention (IJESI)
inventionjournals
 
PDF
IRJET- Vector Control of Three Phase Induction Motor
IRJET Journal
 
PDF
A NEW FUZZY LOGIC BASED SPACE VECTOR MODULATION APPROACH ON DIRECT TORQUE CON...
csandit
 
PDF
J43055863
IJERA Editor
 
A NEW APPROACH TO DTC METHOD FOR BLDC MOTOR ADJUSTABLE SPEED DRIVES
cscpconf
 
Closed Loop Speed Control of a BLDC Motor Drive Using Adaptive Fuzzy Tuned PI...
IJERA Editor
 
[000007]
Al Mtdrs
 
Speed control of motor usinng matlab
shadabshaikh102
 
C010511620
IOSR Journals
 
Performance enhancement of BLDC motor using PID controller
International Journal of Power Electronics and Drive Systems
 
COMPARING OF SWITCHING FREQUENCY ON VECTOR CONTROLLED ASYNCHRONOUS MOTOR
ijscai
 
Review of the DTC Controller and Estimation of Stator Resistance in IM Drives
IAES-IJPEDS
 
78201910
IJRAT
 
C010231319
IOSR Journals
 
Investigation of Artificial Neural Network Based Direct Torque Control for PM...
cscpconf
 
Comparitive Analysis of Speed and Position Control of BLDC Motor via Field Or...
IRJET Journal
 
Improved Torque Control Performance in Direct Torque Control using Optimal Sw...
IJPEDS-IAES
 
CONTROL OF AN INDUCTION MOTOR WITH DOUBLE ANN MODEL BASED DTC
csandit
 
D0262019026
inventionjournals
 
D0262019026
inventionjournals
 
International Journal of Engineering and Science Invention (IJESI)
inventionjournals
 
IRJET- Vector Control of Three Phase Induction Motor
IRJET Journal
 
A NEW FUZZY LOGIC BASED SPACE VECTOR MODULATION APPROACH ON DIRECT TORQUE CON...
csandit
 
J43055863
IJERA Editor
 

Recently uploaded (20)

PPTX
AI and Robotics for Human Well-being.pptx
JAYMIN SUTHAR
 
PDF
Trying to figure out MCP by actually building an app from scratch with open s...
Julien SIMON
 
PPTX
Agile Chennai 18-19 July 2025 | Emerging patterns in Agentic AI by Bharani Su...
AgileNetwork
 
PPTX
Dev Dives: Automate, test, and deploy in one place—with Unified Developer Exp...
AndreeaTom
 
PDF
A Strategic Analysis of the MVNO Wave in Emerging Markets.pdf
IPLOOK Networks
 
PDF
GDG Cloud Munich - Intro - Luiz Carneiro - #BuildWithAI - July - Abdel.pdf
Luiz Carneiro
 
PDF
SparkLabs Primer on Artificial Intelligence 2025
SparkLabs Group
 
PDF
Orbitly Pitch Deck|A Mission-Driven Platform for Side Project Collaboration (...
zz41354899
 
PDF
OFFOFFBOX™ – A New Era for African Film | Startup Presentation
ambaicciwalkerbrian
 
PDF
Brief History of Internet - Early Days of Internet
sutharharshit158
 
PDF
MASTERDECK GRAPHSUMMIT SYDNEY (Public).pdf
Neo4j
 
PPTX
Introduction to Flutter by Ayush Desai.pptx
ayushdesai204
 
PDF
Using Anchore and DefectDojo to Stand Up Your DevSecOps Function
Anchore
 
PPTX
The Future of AI & Machine Learning.pptx
pritsen4700
 
PDF
Make GenAI investments go further with the Dell AI Factory
Principled Technologies
 
PDF
Peak of Data & AI Encore - Real-Time Insights & Scalable Editing with ArcGIS
Safe Software
 
PDF
The Future of Artificial Intelligence (AI)
Mukul
 
PDF
AI-Cloud-Business-Management-Platforms-The-Key-to-Efficiency-Growth.pdf
Artjoker Software Development Company
 
PPTX
What-is-the-World-Wide-Web -- Introduction
tonifi9488
 
PDF
How Open Source Changed My Career by abdelrahman ismail
a0m0rajab1
 
AI and Robotics for Human Well-being.pptx
JAYMIN SUTHAR
 
Trying to figure out MCP by actually building an app from scratch with open s...
Julien SIMON
 
Agile Chennai 18-19 July 2025 | Emerging patterns in Agentic AI by Bharani Su...
AgileNetwork
 
Dev Dives: Automate, test, and deploy in one place—with Unified Developer Exp...
AndreeaTom
 
A Strategic Analysis of the MVNO Wave in Emerging Markets.pdf
IPLOOK Networks
 
GDG Cloud Munich - Intro - Luiz Carneiro - #BuildWithAI - July - Abdel.pdf
Luiz Carneiro
 
SparkLabs Primer on Artificial Intelligence 2025
SparkLabs Group
 
Orbitly Pitch Deck|A Mission-Driven Platform for Side Project Collaboration (...
zz41354899
 
OFFOFFBOX™ – A New Era for African Film | Startup Presentation
ambaicciwalkerbrian
 
Brief History of Internet - Early Days of Internet
sutharharshit158
 
MASTERDECK GRAPHSUMMIT SYDNEY (Public).pdf
Neo4j
 
Introduction to Flutter by Ayush Desai.pptx
ayushdesai204
 
Using Anchore and DefectDojo to Stand Up Your DevSecOps Function
Anchore
 
The Future of AI & Machine Learning.pptx
pritsen4700
 
Make GenAI investments go further with the Dell AI Factory
Principled Technologies
 
Peak of Data & AI Encore - Real-Time Insights & Scalable Editing with ArcGIS
Safe Software
 
The Future of Artificial Intelligence (AI)
Mukul
 
AI-Cloud-Business-Management-Platforms-The-Key-to-Efficiency-Growth.pdf
Artjoker Software Development Company
 
What-is-the-World-Wide-Web -- Introduction
tonifi9488
 
How Open Source Changed My Career by abdelrahman ismail
a0m0rajab1
 

MODIFIED DIRECT TORQUE CONTROL FOR BLDC MOTOR DRIVES

  • 1. International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016 DOI : 10.5121/ijctcm.2016.6301 1 MODIFIED DIRECT TORQUE CONTROL FOR BLDC MOTOR DRIVES Fatih Korkmaz, smail Topaloğlu and Hayati Mamur Department of Electric-Electronic Engineering, Çankırı Karatekin University, Uluyazı Kampüsü, Çankırı, Turkey ABSTRACT In this paper, a new adaptive reference based approach to direct torque control (DTC) method has been proposed for brushless direct current (BLDC) motor drives. Conventional DTC method uses two main reference parameters as: flux and torque. A main difference from the conventional method of it was that only one reference parameter (speed) was used to control the BLDC motor and the second control parameter (flux) was obtained from speed error through the proposed control algorithm. Thus, the DTC performance has been especially improved on systems which need variable speed and torque during operation, like electric vehicles. The dynamic models of the BLDC and the DTC method have been created on Matlab/Simulink. The proposed method has been confirmed and verified by the dynamic simulations on different working conditions. The simulation studies showed that the proposed method reduced remarkably the speed and the torque ripples when compared the conventional DTC method. Moreover, the proposed method has also very simple structure to apply the conventional DTC and its extra computational load to the controller is almost zero. KEYWORDS Brushless machines, Direct torque control, Vector control, Torque control 1. INTRODUCTION The BLDC motors are in our life for many years in computers, robotics, aerospace applications etc. In recent years, the BLDC motors applications have became more popular in industrial and daily utilization, like CNC machine tools, servo systems, home appliances, and electric vehicles. The main reasons of the increasing on popularity of the BLDC motors, in other words, main advantages of the BLDC motors, can be listed as follows[1-4]: • High efficiencies • High power densities • High starting torque • Wide speed ranges • Linear torque and speed characteristics • Low maintenance and works in any condition The BLDC motors not only have advantages of conventional DC motors but also have advantages of AC motors as can be seen from the list. Because, they have the AC motor mechanical structures –no brushes or collectors–while they have the DC motors electrical characteristic.[5] The DTC method was developed by Takahashi in the middle of the 1980s, for three phase induction motors. The DTC method converts three phase parameters of the motor (three phase voltage and currents) to two phase independent vector components with Clarke transformation; thus, it proposes control of every component separately, like conventional DC motors. Although, it was developed for the induction motors, it has been applied many other motor types like permanent magnet AC motors, BLDC motors, switched reluctance motors, linear motors[6-7].
  • 2. International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016 2 In literature, many kind of BLDC motor drive methods can be found. In [8], artificial neural networks based method was used in modeling of BLDC to get the maximum power consumption. Very simple and effective three-level neutral point clamped inverter was proposed to drive axial flux BLDC motors, in [9]. Field Programmable Gate Array (FPGA) based BLDC motor driver with using digital pulse-width modulation (PWM) is presented in [10]. In addition, several different methods, which based of the DTC, were studied in BLDC drivers. Reference [11] proposes the DTC method for matrix converter fed BLDC motor. The DTC of BLDC motor method using with four-switch inverter in constant torque region was proposed in [12]. In this paper, a new approach to the DTC method has been proposed for small scale electric vehicles that work in variable speed and torque conditions, naturally. In the proposed method, optimum stator flux reference value was obtained by PI controller with usage of the speed error. The dynamic model of the proposed method was developed with Matlab/Simulink. The dynamic simulations were performed and results were presented to illustrate the validity of the proposed method. 2. DIRECT TORQUE CONTROL OF BLDC The BLDC motor has three phase stator windings with permanent magnet rotor and electrical model of the motor that connected with PWM inverter, is given in Fig. 1[13]. Voltage equations of the motor can be obtained by the following equation; ൥ Vୟ Vୠ Vୡ ൩ = ൥ R 0 0 0 R 0 0 0 R ൩ ൥ iୟ iୠ iୡ ൩ + ൥ L 0 0 0 L 0 0 0 L ൩ ୢ ୢ୲ ൥ iୟ iୠ iୡ ൩ + ൥ eୟ eୠ eୡ ൩ (1) Where Vୟ, Vୠ, Vୡ are phase voltages, R is phase resistance, L is phase inductance, iୟ, iୠ, iୡ are phase currents and eୟ, eୠ, eୡ are back EMFs. Figure 1. Electrical Model of the Motor that Connected with PWM Inverter The mechanical moment equation of the motor given by the following equation; Tୣ = T୐ + Bω୫ + j ୢωౣ ୢ୲ (2) Tୣ and T୐ describes generated electromagnetic torque and load torque, respectively. B is the friction coefficient, j is the inertia and ω୫ is the angular velocity of rotor[14]. The DTC method needs to transformation of the three phase motor parameters to two phases. In this transformation, electrical parameters of the motor (voltages, currents, back emf) should to be transformed to stationary reference frame and it can also be named as α − β transformation or Clarke transformation in many sources. The Clarke transformation matrix is given (3).
  • 3. International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016 3 ൤ fα fβ ൨ = ଶ ଷ ቎ 1 − ଵ ଶ − ଵ ଶ 0 √ଷ ଶ − √ଷ ଶ ቏ ൥ fୟ fୠ fୡ ൩ (3) Where, fα, fβ are α − β components of motor parameters, and fୟ, fୠ, fୡ are the abc frame components [15]. With the transforming of the three phase parameters of the motor, α − β components of the phase voltages can be written as: vୱα = Rୱiୱα + Lୱ ୢ୧౩α ୢ୲ + eα (4) vୱβ = Rୱiୱβ + Lୱ ୢ୧౩β ୢ୲ + eβ (5) Where vୱα, vୱβ are the stator voltages, iୱα, iୱβ are the stator currents and eα, eβ are back emf in the α − β referance frame. In the DTC scheme, stator flux components are obtained from α − β components of the measured stator voltages and currents as given below [16]: λୱα = ‫׬‬ሺvୱα − Rୱiୱαሻdt (6) λୱβ = ‫׬‬൫vୱβ − Rୱiୱβ൯dt (7) The magnitude of the flux can be calculated with; λ = ටλୱα ଶ + λୱβ ଶ (8) and position of the stator flux vector can be calculated with; θ = arctan λ౩β λ౩α (9) The calculation of the electromagnetic torque of the BLDC motor in α − β reference frame is given below; Tୣ = ଷ୮ ସ ቂ ୢλ౨α ୢθ౛ iୱα + ୢλ౨β ୢθ౛ iୱβቃ (10) Where λ୰α and λ୰β are the α − β components of the rotor flux vector, p is the number of the poles and θୣ is electrical angle of the rotor. The α − β components of the rotor flux vector can be obtained as: λ୰α = λୱα − Lୱiୱα (11) λ୰β = λୱβ − Lୱiୱβ (12) The different forms of the rotor flux α − β components can also be obtained from the following equations;
  • 4. International Journal of Control Theory a ୢλ౨α ୢθ౛ = ୢλ౨α ୢ୲ ୢ୲ ୢθ ୢλ౨β ୢθ౛ = ୢλ౨β ୢ୲ ୢ୲ ୢθ It means, electromagnetic torque can be Tୣ = ଷ୮ ସ ቂ ୣα ω౛ iୱ The six active voltage vector, PWM inverter switching states and stator voltage vector sectors are shown in Figure 2. Inverter switching look Figure 2. PWM Table onal Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016 ୢ୲ θ౛ = ଵ ω౛ ୢλ౨α ୢ୲ = ୣα ω౛ (13) ୢ୲ θ౛ = ଵ ω౛ ୢλ౨β ୢ୲ = ୣβ ω౛ (14) , electromagnetic torque can be written with in another form as: ቂ ୱα + ୣβ ω౛ iୱβቃ (15) The six active voltage vector, PWM inverter switching states and stator voltage vector sectors are . Inverter switching look-up table is also given in Table 1. PWM Inverter Switching States and Stator Voltage Vector Sectors able 1. Inverter Switching Look-Up Table Vol.6, No.3, July 2016 4 The six active voltage vector, PWM inverter switching states and stator voltage vector sectors are nd Stator Voltage Vector Sectors
  • 5. International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016 5 Figure 3. The Conventional DTC Block Diagram In the conventional DTC (C-DTC) method, control algorithms works with two separate reference values as torque (or speed) and flux references. Because, in idea of the DTC, stator flux vector has two components (α − β components) and they can be controlled independently from each other. One of them controls flux, while the other one controls torque. In generally, flux reference is kept constant and the speed control of the motor can be achieved by setting up the torque reference value. This approach is very appropriate for constant torque-variable speed applications. The conventional DTC block diagram is given in Figure 3. 3. ADAPTIVE FLUX BASED METHOD In variable torque and variable speed applications, like small electric vehicles, keeping the flux constant causes high torque and speed ripples. A new approach was designed and investigated in this paper to overcome this problem. In the proposed approach, a new PI controller was used to determine optimum flux reference value according the motor speed. So, two different PI controllers were used in proposed DTC (P-DTC) method. One of the PI controllers calculates reference torque and the other one calculates reference flux with use of the speed error. The proposed DTC Simulink block diagram was given in Figure 4. In dynamic simulations, the BLDC motor was performed under two different working conditions. The parameters of the blocks and the motor that used in dynamic simulations were given in appendix. Total simulation time was 1 sec. for all conditions. The sampling time was 10 µs. The motor load constant (5Nm) and the speed reference was changed 500 rpm to 1500 rpm at 1. sec. in first working condition. The speed and the torque responses of the motor were given in Fig. 5 and Fig. 6, respectively.
  • 6. International Journal of Control Theory a Figure Figure 5. Overview to Speed Responses Figure 6. Zoomed-View to Speed Responses of t onal Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016 ure 4. The Proposed DTC Simulink Block Diagram o Speed Responses of the BLDC in Variable Speed-Constant Load View to Speed Responses of the BLDC in Variable Speed-Constant Load Vol.6, No.3, July 2016 6 Constant Load Constant Load
  • 7. International Journal of Control Theory a Figure 7. Torque It can be seen in Figure 5–7. that, the BLDC motor speed and torque responses were improved with the P-DTC method. The torque and speed ripples reduced remarkably with the P especially in high speed reference values. In were almost same with both methods. Figure 8. Overview to Speed Responses of t Figure 9. Zoomed- View to Speed Responses of t onal Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016 Torque Responses of the BLDC in Variable Speed-Constant Load that, the BLDC motor speed and torque responses were improved with DTC method. The torque and speed ripples reduced remarkably with the P- especially in high speed reference values. In 500 rpm speed reference, the motor dynamic behaviors ere almost same with both methods. to Speed Responses of the BLDC in Variable Torque-Constant Speed View to Speed Responses of the BLDC in Variable Torque-Constant Speed Vol.6, No.3, July 2016 7 Constant Load that, the BLDC motor speed and torque responses were improved with -DTC method 00 rpm speed reference, the motor dynamic behaviors Constant Speed Constant Speed
  • 8. International Journal of Control Theory a Figure 10. Torque In the second test, the motor was simulated at constant speed reference (2000 rpm) and the torque reference was changed to 0 Nm to 5 Nm at were given in Figure 8–10, respectively After the second test studies, which t torque curves were showed that the motor variable torque conditions. The C reference. But with the P-DTC method The dynamic simulations proved method. Moreover, the computational times of the both system were compared during the tests and it must be pointed out that the P DTC. So, it can be said that, the proposed method has n can applicable on BLDC motor driven electric vehicles. 4. CONCLUSIONS In recent years, BLDC motors have been used many industrial applications and it has gain great popularity between electric motors. On the other hand, the DTC is well control method not only for induction motors but also many other motor types. This a new perspective to the conventional BLDC motors which considered variable speed and torque conditions with single reference in method was modified with the adding of second PI controller that produces optimum flux reference. In order to test the validity and been performed under different working conditions and results were presented. results showed that the proposed method reduced remarkably the speed and the torque ripples when compared conventional DTC method. The proposed method the conventional DTC and its extra computational load to the contro APPENDIX The parameters of the blocks and the motor that used in dynamic simulations are 400V, stator phase resistance, Rs (ohm) = 0.45, stator phase inductance Ls (H) = 8.5e hysteresis band limits = ±0.005, torque hysteresis band limits = ±0.02, stator flux reference = 0.32 weber, sampling time 10 µsec. onal Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016 Torque Responses of the BLDC in Variable Torque-Constant Speed In the second test, the motor was simulated at constant speed reference (2000 rpm) and the torque Nm to 5 Nm at 1. sec. The speed and the torque responses of , respectively. After the second test studies, which the torque reference value was changed, the speed and the that the motor performance was also improved in constant speed que conditions. The C-DTC method had much torque peaks especially in method, the motor had very small peaks for both torque references. d that the P-DTC method can be a good alternative to the Moreover, the computational times of the both system were compared during the tests and P-DTC method had almost same computational time with the DTC. So, it can be said that, the proposed method has not extra load on controller structu motor driven electric vehicles. , BLDC motors have been used many industrial applications and it has gain great popularity between electric motors. On the other hand, the DTC is well-known high performance control method not only for induction motors but also many other motor types. This paper presents conventional DTC method. The proposed DTC method applied BLDC motors which considered drives small size electric vehicles. These vehicles works in variable speed and torque conditions with single reference input: speed. The conventional DTC modified with the adding of second PI controller that produces optimum flux reference. validity and applicability of the proposed method, dynamic simulations nt working conditions and results were presented. The simulations results showed that the proposed method reduced remarkably the speed and the torque ripples when compared conventional DTC method. The proposed method had also very simple structure to apply the conventional DTC and its extra computational load to the controller was almost zero. The parameters of the blocks and the motor that used in dynamic simulations are, DC bus voltage 400V, stator phase resistance, Rs (ohm) = 0.45, stator phase inductance Ls (H) = 8.5e hysteresis band limits = ±0.005, torque hysteresis band limits = ±0.02, stator flux reference = 0.32 Vol.6, No.3, July 2016 8 Constant Speed In the second test, the motor was simulated at constant speed reference (2000 rpm) and the torque . sec. The speed and the torque responses of the motor , the speed and the also improved in constant speed - much torque peaks especially in 0 Nm torque very small peaks for both torque references. to the C-DTC Moreover, the computational times of the both system were compared during the tests and almost same computational time with the C- ot extra load on controller structure and it , BLDC motors have been used many industrial applications and it has gain great known high performance paper presents DTC method. The proposed DTC method applied to the . These vehicles works in put: speed. The conventional DTC modified with the adding of second PI controller that produces optimum flux reference. applicability of the proposed method, dynamic simulations were The simulations results showed that the proposed method reduced remarkably the speed and the torque ripples when also very simple structure to apply almost zero. , DC bus voltage 400V, stator phase resistance, Rs (ohm) = 0.45, stator phase inductance Ls (H) = 8.5e-3, flux hysteresis band limits = ±0.005, torque hysteresis band limits = ±0.02, stator flux reference = 0.32
  • 9. International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.6, No.3, July 2016 9 ACKNOWLEDGEMENTS Thanks to Cankırı Karatekin University because of their valuable contributions to this paper. This research was funded by a grant (No. MF050315B15) from the Research Council of Cankırı Karatekin University. This research was performed in cooperation with the Institution. REFERENCES [1] C. Xia, Z. Li, and T. Shi, “A Control Strategy for Four-Switch Three-Phase Brushless DC Motor Using Single Current Sensor”, Industrial Electronics, IEEE Transactions on , vol.56, no.6, pp. 2058– 2066, June 2009. [2] Z. Xiaofeng, L. Zhengyu, "A new BLDC motor drives method based on BUCK converter for torque ripple reduction,", Power Electronics and Motion Control Conference, 2006. IPEMC 2006. CES/IEEE 5th International , vol.2, no., pp.1–4, 14-16 Aug. 2006 [3] I. Topaloglu, F. Korkmaz, H. Mamur, R. Gurbuz, “Closed-Loop speed control of PM-BLDC motor fed by six step inverter and effects of inertia changes for desktop CNC machine” Elektronika IR Elektrotechnika, vol. 19, no 1, pp. 7–10, 2013. [4] I. Tarimer, A. Akpunar, R. Gurbuz, “Design of a direct sliding gearless electrical motor for an ergonomic electrical wheelchair”, Elektronika IR Elektrotechnika, no 3, pp. 75–80, 2008. [5] F. Korkmaz “A New Approach to DTC Method For BLDC Motor Adjustable Speed Drives” The Fourth International Conference on Instrumentation and Control Systems(CICS-2016), vol. 6, no 5, pp-37–44, April 2016 [6] I. Takahashi and T. Noguchi , “A new quick-response and high efficiency control strategy of an induction motor” IEEE Transactions on Industrial Applications, vol.I A-22 , no.5, pp. 820–827, 1986. [7] F. Korkmaz, I. Topaloglu, R. Gurbuz, “Simulink model of vector controlled linear induction motor with end effect for electromagnetic launcher system”, Elektronika IR Elektrotechnika, vol. 20, no 1, pp. 29–32, 2014. [8] M. Nizam, A. Mujianto, H. Triwaloyo, Inayati, "Modelling on BLDC motor performance using artificial neural network (ANN)", Rural Information & Communication Technology and Electric- Vehicle Technology (rICT & ICeV-T), 2013 Joint International Conference on , vol., no., pp.1–4, 26- 28 Nov. 2013. [9] S. De, M. Rajne, S. Poosapati, C. Patel, K. Gopakumar, "Low-inductance axial flux BLDC motor drive for more electric aircraft", Power Electronics, IET , vol.5, no.1, pp.124–133, January 2012. [10] A. Tashakori, M. Hassanudeen, M. Ektesabi, "FPGA based controller drive of BLDC motor using digital PWM technique", Power Electronics and Drive Systems (PEDS), 2015 IEEE 11th International Conference on , vol., no., pp.658–662, 9-12 June 2015. [11] R. Muthu, M.S. Kumaran, L.A. Rajaraman, P. Ganesh, P. Reddy, "Direct Torque Control of matrix converter fed BLDC motor", Power Electronics (IICPE), 2014 IEEE 6th India International Conference on , vol., no., pp.1–6, 8-10 Dec. 2014. [12] S.B. Ozturk, W.C. Alexander, H.A. Toliyat, "Direct torque control of four-switch brushless DC Motor with non-sinusoidal back-EMF", Power Electronics Specialists Conference, 2008. PESC 2008. IEEE , vol., no., pp.4730–4736, 15-19 June 2008. [13] W.S. Im, W. Liu, J.M. Kim, "Sensorless control of 3-phase BLDC motors using DC current model", Energy Conversion Congress and Exposition (ECCE), 2014 IEEE , vol., no., pp.4484–4490, 14-18 Sept. 2014. [14] P.K. Girija, A. Prince, "Robustness evaluation of SMO in sensorless control of BLDC motor under DTC scheme", Power Signals Control and Computations (EPSCICON), 2014 International Conference on , vol., no., pp.1-6, 6-11 Jan. 2014. [15] F. Korkmaz, I. Topaloglu, M.F. Cakir, R. Gurbuz, "Comparative performance evaluation of FOC and DTC controlled PMSM drives", Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on , vol., no., pp.705–708, 13-17 May 2013. [16] F. Korkmaz, M.F. Cakir, Y. Korkmaz, I. Topaloglu, “Fuzzy based stator flux optimizer design for direct torque control”, International Journal of Instrumentation and Control Systems (IJICS), vol.2, no.4, pp. 41–49, October 2012.