D010423139

IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 10, Issue 4 Ver. II (July – Aug. 2015), PP 31-39
www.iosrjournals.org
DOI: 10.9790/1676-10423139 www.iosrjournals.org 31 | Page
Development of methods of calculation and optimization of
electromechanical characteristics of SRM
Abdelmajid Berdai1
,Valery Titjuk2
, Vladimir Vlasenko2
, Abdelaziz Belfqih1
,
Jamal Boukherouaa1
, Faissal El Mariami1
, Abdelhamid Hmidat1
1
Electric Systems and Energy Team ESE, Department of electrical engineering. National School of Electricity
and Mechanics ENSEM , University Hassan II of Casablanca, Morocco.
2
Department of Electromechanics,Krivoy Rog National University,50027, Krivoy Rog, Ukraine.
Abstract:Switched reluctance motor (SRM) drives are simpler in construction compared to induction
andsynchronous motors. Their combination with power electronic controllers may yield an economicalsolution
[1]. The structure of the motor is simple with concentrated coils on the stator and neitherwindings nor brushes
on the rotor. This apparent simplicity of its construction is deceptive. SRMdrives present several advantages as
high efficiency, maximum operating speed, good performanceof the motor in terms of torque/inertia ratio
together with four-quadrant operation, making it anattractive solution for variable speed applications. The very
wide size, power and speed rangetogether with the economic aspects of its construction, will give the SRM place
in the drives family. In this paper, we propose the novel method, which brings together the field-theoretical
method approach used for calculation of the magnetic systems of switched reluctance motors (SRMs) and
analysis of electromagnetic processes in electric drive systems using the electrical circuit’s theoretical method.
We then present a few results of simulation with a type 8/6 SRM using MATLAB / Simulink software package in
order to prove the exactness of the model.
Keywords:Switched reluctance motor,powersys, simulink , simulation steady state and dynamic regime
I. Introduction
SRM is an electric motor that converts the reluctance torque into mechanical power. In the SRM, both
the stator and rotor have a structure of salient pole, which contributes to produce a high outputtorque. The
torque is produced by the alignment tendency of poles.The number and the position of the poles both for the
rotor and the stator have a determinant role in the optimization of the performance of the machine. It is
necessary to obtain a motor torque in the desired direction by activating one phase, irrespective of the position
of the rotor to the stator. Figure 1 shows a SRM with three phases, six stator and four rotor poles. Due to the
lack of coils and rotor magnets, the speed of the SRM touches higher values, being limited both by the bearings
and by the losses in the rotor iron. The domain of reduced speeds at higher torque can be covered, for this type
of motors, by the elimination of mechanical gears. Due to both the higher values of the torque and the reduced
inertia moment, higher values of accelerations can be obtained with the SRM. Also through a proper control
different values of the torque in real time can be obtained. In conclusion, the dynamical behaviour of this motor
is different, which leads to the large-scale use of the SRM in the electrical drives with variable speed.
Fig. 1: 8/6 Switched Reluctance Motor Fig. 2. H-bridge asymmetric converter

Development of methods of calculation and optimization of electromechanical…
In this study we propose the novel method, bringing together the simplicity of electric circuit methods
and the accuracy and polyvalence of electromagnetic field methods, which are regarded as the most perspective
methods. In the case of switched reluctance motors, the novel method model enables static calculation of the
electromagnetic field with use of other results obtained in the form of differential equations describing the
dynamics of the electrical drive system[2] .
The structure diagram of the SRM’s mathematical model created using the novel method is shown in Figure 3.
Fig. 3: structure diagram of the SRM’s mathematical model created using the novel method
The new modelling approach’s main problem results from the need for simultaneous calculation of the
variation of the magnetic field’s characteristics and those of the corresponding electrical circuits. Solving the
problem in such a context greatly complicates the simulation process.
Use of the dynamic characteristics method is regarded as one of the possibilities for achievement of the
new modelling method enabling design of the circuit of the field mathematical model of SRM.
II. Theoretical Approaches And Syntheses
Use of the dynamic characteristics method is regarded as one of the possibilities for achievement of the
combined method enabling design of the circuit of the field mathematical model of SRM[3]. The essentials of
this method, in the case of its application for SRM simulation, consist of establishing a connection between the
stator coil’s inductance and the rotor’s angle of rotation L(θ), and its introduction into the system of differential
equations describing the electromechanical process in switched reluctance motors[4,5].
As the simulation subject, we have used an SRM with the following performances and characteristics:
Magnetic circuit material: 3405-quality steel; Magnetic circuit prototype: 8/6 (classic configuration);
Stator exterior diameter: 62 mm; Stator interior diameter: 32.5 mm ;Length of active steel: 36 mm; Stator base
thickness: 5.8 mm; Stator height: 9 mm; Rotor tooth height: 4.5 mm; Air gap: 0.25 mm; Polar angle of stator:
18˚; Angle of rotor grooves: 19˚; Shaft diameter: 9 mm; Number of spires per phase: 80; Nominal power: 1.5
kW; Nominal rotation frequency: 1500 rev/minute; Power supply voltage: 480V; Nominal current of stator: 12.4
A; Active coil resistance: 3 ohms.
On the basis of results obtained in studying the magnetic circuit, we were able to define the
characteristic of the stators’ inductance depending on the angle of the rotor L(θ). The characteristic was
determined under the value of the stator coil’s nominal current.
In real-life conditions, inductance coil stator also depends on the value of current L=L(θ,i) due to the
non-linearity of the steel’s magnetisation curve.

Fig. 4.Phase inductance depending on angle θ for a stator current series
Variation of phase inductance depending on the rotor’s angle of rotation may be approximated by the
simple expression (20) - (fig. 5)
L(θ,i) = L0(i) – L1(i)·cosθ. (1)
Fig. 5. Variation of phase inductance depending on angle θ
It is makes it easier if we operate with coherent values for inductance La and incoherent forLu, the
positions of the rotor poles and the stator, so:
   
2
0
ua LiL
iL

 ,    
2
1
ua LiL
iL

 (2)
As calculation of the field shows, the value of inductance Lu does not really depend on phase current
value, so Lu=const=0,0163 H. At the same time, the coherent value of phase La inductance decreases with
increase in current, limited to the value of Lu.
Inductance La depends on current value due to saturation of the magnetic system (Figure 1)and may be
represented by the function:
 
ci
b
aiLa

 (3)
Where a = 0.0163, b = 1.72, c = 14.35 – coefficients obtained by calculation of the magnetic field.
Therefore, equation (20) takes the form:
       )cos(
2
1
,  uaua LiLLiLiL (4)
Graphing of L(θ, i) is shown in Figure 6:

Fig.6. Approximate function of the L(θ, i)
III. Modeling Of The Switched Reluctance Motor
As with all types of electric machines, an SRM’s control system is composed of equations of electrical
balance for each of the electric machine’s stator phases, and equations for rotor movement.
The electrical relationship of the SRM stator coil’s balance position is defined as follows:
(5)
Where U is the supply voltage.
Generally speaking, the magnetic flow through coil k in an electric machine with several coils is equal
to:
(6)
With:
Lk: Inductance specific to a k phase;
Mjk: Mutual inductance between phases j and k.
As, with symmetrical control in full step, currents overlap slightly depending on time, the equation’s
second term (2) may be ignored for a certain relationship between the motor’s load and the number of stator
coils. In this case, a coil’s magnetic flow may be entirely determined by its own inductance.
As the inductance of an SRM coil depends on rotor angle in relation to the latter Ls=Ls(θ,i), equation
(1) may be written as follows:
 
 
i
θ
θ,i
s
L
ω
dt
di
θ,iLRi
dt
dθ
θ
Ψ
dt
di
i
Ψ
Riu











(7)
Or
     
dt
di
iLi
i
iL
i
iL
Riu 











 ,
,,
s
ss
(8)
Where
       
dt
d
i
i
iL
i
i
iL






 ,
,
,,
,
, s
(9)
Respectively designating dynamic inductance, static inductance and angular rotor speed.
The influence of dynamic inductance will be the subject of a separate analysis and will not be taken
into consideration in this article
t
iRU



j
N
kjj
jkkkk iMiL 

,1

The electrical relationship of the voltage at an SRM phase’s terminals in balance position may
therefore be expressed as follows:
(10)
Ignoring the difference between static and dynamic inductance, it may be noted that this hypothesis is
valid in the absence of magnetic saturation of the system. Consequently, in order to better describe the electrical
processes, we can use equation (6).
The electromagnetic torque that develops under the influence of phase i current
 
2
2
e
iL
M 


 . (11)
Therefore, the generalised system of differential equations for the SRM is :
   
 
 























dt
d
MM
Jdt
d
iL
M
i
L
dt
di
LRiu
k
k
k
k
k
kk
kkk
ce
2
e
1
2
(12)
Where k = 1... m – phase number; uk, ik – designate voltage and current of phase k respectively.
IV. Voltage Switching
There are several possible configurations to energize an SRM from a converter. The different
energizing structures distinguish themselves by their number of semiconductors and passive components. They
also depend on the number of phases and the way the stator coils are connected. The maximum control and
flexibility is obtained, however, with the H-bridge asymmetric type converter shown inFigure 2. Each phase has
two insulated gate bipolar transistors (IGBTs) and two diodes. The number of semiconductors is the same as for
an inverter of a synchronous machine. However, the structure is completely different. One can also notice that it
is not possible to short-circuit the source because the resistance of the coils limits the current[6,7].
The conditions for voltage switching are:
• When 0° < Rotor angle (θ) < Turn-on angle (θon), then Voltage = 0;
• When Turn-on angle (θon) <= Rotor angle (θ) < Turn-off angle (θoff), then Voltage = +V;
• When Turn-off angle (θoff) <= Rotor angle (θ) < commutation angle (θd) then voltage= -V
The control takes place applying the voltage source to a phase coil at turn-on angle θon until a
turnoffangle θoff. After that, the applied voltage is reversed until a certain demagnetizing angle θd,which allows
the return of the magnetic flux toward zero. To apply voltage V in one phase, the twoIGBTs Q1 and Q2 in
Figure 5 must be ON. On the contrary, to apply the -V voltage and assurethe current continuity, the two diodes
D1 and D2 are used.
Thus, the voltage at a phase’s terminals varies according to the following division: :









.0,2,0
;0,,
;,
i
iV
V
u
ONOFF
ONs
OFFON




(9)
Where ƟON, ƟOFF – designate the angles of commutation.
    


 i
iL
dt
di
iLiRu
,
,

V. Functional Diagram Of The Model For Srm Simulation
Fig. 7.Functional diagram of the model for SRM simulation
The model for simulation is developed from the above SRM equations.A structure diagram of the
electrical-drive model based on the SRM, created with Matlab Simulink software [8-9-10], is presented in
Figure 7.
The power source is presented in the source block with voltage U supplying the transistorised inverter
simulation block. The order of commutation of phases is defined depending on the rotor’s angle of rotation by
the rotor position block, which, by imitating the operation of the position captor, generates control pulses by
power switches within the limits of specified phase commutation angles. These pulses are generated by blocks
alpha and beta respectively. From the inverter block, voltage is supplied at entrance U of one of the Phase A-D
subsystems, so simulating phase operation. With release of phase switches, the supply block is polarised under
inverse voltage, and current circulates through the back-off diodes. When the current in the phase cancels out,
the diodes are blocked and the current in the phase is extinguished. For specified torque values of the various
phases, the sum block generates the resulting electromagnetic torque. The Mstblock simulates the static torque
opposed by the motor charge. Block 1/J represents the moment of the motor’s inertia.
Initial value of the rotor’s angle of rotation is determined from the teta0 block. Monitoring of variation
of the different parameters is carried out by the bloc representing the scope.
Figure 8 presents the structure diagram of the model of a phase (bloc phase A). For certain laws of
instantaneous variance of supply voltage and the rotation angle of rotor θ, this block calculates the value of the
current and the electromagnetic moment. It is composed of blocks L(teta) and dL_dteta, forming the liaison
between L(θ) and dL(θ)/dθ respectively and their proposed approximate functions.
w
teta0_D
-C-
teta0_C
-C-
teta0_B
-C- teta0
0
teta
1
s
beta
23
alfa
2
Sourse
Scope
Rotor position
teta
alfa
beta
Out1
PhaseD
U
teta
I
M
PhaseC
U
teta
I
M
PhaseB
U
teta
I
M
PhaseA
U
teta
I
M
Mst
Inverter
U
control
I
U_A
U_B
U_C
U_D
Integrator
1
s
1/J
-K-

Fig. 8. Model of simulation of an SRM phase
VI. SRM Simulation Results
Fig.9 . Transition process of SRM at start-up

Fig.10. Forms of phase currents
Fig. 11. Forms of one phase voltage
The results of simulating the start-up process for the electrical drive based on the SRM model with a
resistive charge are presented in Figure 8 in the form of chronograms of phase currents, the resulting
electromagnetic torque and the rotor’s angular rotation speed. Forms of phase currents and of one phase voltage
at θon=0ºand θoff =30º with open loop controlduring stationary motor operation are represented in Figure 10 and
11.
On the basis of the graphs in Figures 9, 10and 11 obtained from the results of calculations carried out
by the SRM’s mathematical model, and considering the quality of the models’ concordance and convergence
towards the basic principle of electromechanical engineering[11], we may conclude that the newmathematical
model developed is a consistent one.
VII. Conclusion
Based on analysis of the SRM’s magnetic system field method and analysis of the mathematical model
of the SRM, we have established the results of calculation of the parameters of the motor’s magnetic field and
the characteristics of electro-dynamic processeswith the simulated curves of the proposed model. We may
therefore conclude that the simulation model proposed describes a switched reluctance motor’s electrodynamic
process. The model developed may be used for study of the SRM’s electromechanical and energy properties.
The universal nature of the mathematical methods and software tools used for development of the novel method
creates the right conditions required for future improvements.Also it can be seen that Simulink environment will
significant impact the simulationresults. The reason can be detailed studies for the future. For the future studies,
how to control this motor more precise can be considered.

References
[1]. R. Krishnan, Switched reluctance motors drives. CRC Press, 2001
[2]. J.M. Kokernak, D.A Torrey, ―Magnetic circuit model for the mutually coupled switched-reluctance machine,‖ IEEE Trans on
Magnetics, vol. 36, no.2, pp.500-507, 2000.
[3]. Modeling of electromechanical systems. Chornij A., Lugovoj A., Rodkin D, Sisjuk G., Sadovoj O. Kremenchuk, Kremenchuk
Mykhailo Ostrohradskyi National University, 2001. p.376.
[4]. John R. Suriano. Design methodology for low speed variable reluctance motors. Purdue University, School of
ElectricalEngineering, 1992. – 90 p.
[5]. Krishnan Ramu. Switched reluctance motor drives: modeling, simulation, analysis, design, andapplications. – Boca RatonLondon
New York Washington, D.C., 2001. – 416 p.
[6]. F. Soare and P. J. C. Branco, ―Simulation of a 6/4 switched reluctance motor based on Matlab/Simulink environment,‖ IEEE Trans.
Aerosp. Electron. Syst., vol. 37, no. 3, pp. 989-1009, Jul. 2001.
[7]. K. Jain, and N. Mohan, ―SRM power converter for operation with high demagnetization
[8]. voltage,‖ IEEE Trans. Ind. Appl., vol. 41, no. 5, pp. 1224-1231, Sept.-Oct. 2005.
[9]. TolmachevS.T.Special methods for solving magnetostatic problems. Kiev:High School.1983. p.166.
[10]. J.M.L. Nascimento, L.G.B. Rolim, P. Heidrich, W.I. Suemitsu, and R. Hanitsch, ―Design and simulation results of a switched
reluctance motor‖, in Proceeding of Third Brazilian Power Electronics.Conference, 1995, pp. 79-83
[11]. Elliot, C. R., Stephenson, J. M., and McClelland, M. L.(1995)Advances in switched reluctance drive system dynamic simulation. In
Proceedings of EPE ’95, 3 (1995), 622—626.
[12]. Praveen Vijayraghavan. Design of Switched Reluctance Motors and Development of a Universal Controller for Switched
Reluctance and Permanent Magnet Brushless DC Motor Drives. Dissertation submitted to the Faculty of the Virginia Polytechnic
Institute and State University in partial fulfillment of the requirements for the degree of doctor of philosophy in electrical
engineering. – Blacksburg, Virginia, 2001. p.203.

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