![International Journal of Electrical and Computer Engineering (IJECE)
Vol.9, No.4, August2019, pp. 3025~3031
ISSN: 2088-8708, DOI: 10.11591/ijece.v9i4.pp3025-3031 3025
Journal homepage: http://iaescore.com/journals/index.php/IJECE
Efficient figureconverter fed PMBLDC motor
using artificial neural network
Meena Devi R1
, L. Premalatha2
1
Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India
2
School of Electrical Engineering, Vellore Institute of Technology (VIT),Chennai, India
Article Info ABSTRACT
Article history:
ReceivedSep6, 2018
Revised Mar 21, 2019
Accepted Apr4, 2019
In this paper, a new design of Bridgeless SEPIC (Single Ended Primary
Inductance converter) with Artificial neural network (ANN) fed PMBLDC Motor
drive is proposed to improve Power Factor. The proposed converter has single
switching device of MOSFET, so the switching losses is reduced.ANN is used to
achieve the higher power factor and fixed dc link voltage. Also the ANN
methodology the time taken for computation is less since there is no mathematical
model. The output voltage depends on the switching frequency of the MOSFET.
The BLSEPIC act as a buck operation in continuous conduction mode. Detailed
converter analysis, equivalent circuit and closed-loop analysis are presented for
36V, 120W, 1500rpm BLDC Motor drive. This proposed converter produces low
conduction loss, low total harmonic reduction, low settling time and high power
factor reaching near-unity. All the simulation work is verified with MATLAB –
Simulink.
Keywords:
ANN controller
Current controller
PFC
PMBLDC motor
Power factor
THD
Voltage controller
Copyright © 2019Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
Meena Devi R,
Sathyabama Institute of Science and Technology,
Chennai, Tamil Nadu, India.
Email: devimalathi2010@gmail.com
1. INTRODUCTION
Power Quality of the AC system has become great challenge due to large increased in industrial.
Power Quality like Power factor (PF), Total harmonic distortion(THD), Output voltage ripple are affected
due to Power Electronic equipment [1, 2]. A PFC (Power Factor correction) converter places the input
current in phase with input voltage waveforms. When Power Factor is 1.0, the input Current is perfectly in
phase with the input Voltage [3, 4].
Brushless dc Motor are compact and energy saving machine with high efficiency. BLDC Motor
used for various applications like pump, fan, electric vehicle, washing machine etc. The main advantage of
BLDC motor is energy saver, less maintenance, greater speed range and better thermal efficiency.Single-
Ended Primary Inductance Converter (SEPIC) AC-DC Rectifier has several advantages of step-up and step
down capabilities. SEPIC converter has been operated in continuous conduction mode (CCM) has been
proposed. The output of SEPIC converter is positive, hence this is recommended in applications such as
battery chargers, fan, Air-conditioners, motor drive and home appliances [5-9].
Bridgeless PFC topologies are proposed topology can reduce conduction losses from rectifying
bridges; thus, overall system efficiency can be increased. Unlike the boost, the SEPIC and bridgeless SEPIC
converters have many several benefits in PFC applications, such as easier implementation of transformer
isolation, input surge current limitation during startup and full-load conditions, lower input current ripple,
and less electromagnetic interference [11-15].
More over Current Mode Control (CMC) architecture has been widely used for Power Factor
correction. Based on different modulating schemes such as constant turn-on control method, constant-OFF](https://image.slidesharecdn.com/2715865-200825033641/85/Efficient-bridgeless-SEPIC-converter-fed-PMBLDC-motor-using-artificial-neural-network-1-320.jpg)
![ ISSN:2088-8708
Int J Elec & Comp Eng, Vol. 9, No. 4, August 2019: 3025 - 3031
3026
time control method, average current control method, peak current control method and hysteresis current
control method. In this paper proposed the average current controlling method. In this method very simple
and high efficiency’s CMC has been two feedback control. Outer is voltage control and inner loop is current
control [16-10].
The Artificial neural network outputs the appropriate control signal for achieving the desired speed
under variations in the motor load [17]. The ANN must learn the connection weight from available training
pattern. Perform is improved over time by iterative updating the weight. In general, soft computing method
can be used in all motor drive. In this modern technology, can increase performance and PMBLDC motor
using ANN.
2. OPERATION OF THE BRIDGELESS SEPIC CONVERTER WITH ANN
2.1. Basic bridgeless SEPIC converter circuit
The basic single stage bridgeless SEPIC circuit is shown in Figure 1. In this system, there are two
MOSFET switch replacing diode bridge rectifiers, which helps to reduce high conduction loss,
but the controller circuit is complex to implement, and the size of the system too high.
Figure 1. Basic bridgeless SEPIC circuit
2.2. Design calculation of bridgeless SEPIC converter circuit
The fundamental operation of the SEPIC converter is shown at the point when the switch S1 is
turned on, the inductance L1 is charged; in the meantime the inductance L2reads energy from the capacitance
C2. The output Capacitance Co supplies the load. At the point when the MOSFET switch S1 is turned off, L1
charges C1 and also supplies the current to load. L2 is connected to the load.
Using the (1)-(6),the SEPIC Converter is designed for a constant link voltage Vout=36V, Vin=195V
to 230V, I=3.5A, L1=L2=L=230mH, C1=171µF, C2=1000µF and fsw=20KHZ.
Vo= Vin * D / (1-D) (1)
D= (1 + VD) / (Vin + Vout + VD) (2)
L1= L2 = D * Vin/ {fs (∆I L1)} (3)
C2 >= (Iout * D) / Vripple * 0.5 fs (4)
Voltage error =Vref - Vo (5)
I ref = Vref - Vo) / r(t) * sinωt (6)
2.3. Proposed BRIDGELESS SEPIC converter modes operation
Figure 2 shows the Modes of Operation circuit diagram. In OFF state diagram for switch Q1, in
which switch is off and the diode D1 is ON. Inductor L1charges the capacitance C2 and provides the load
current. The Inductor Lois connected to load: it charges the output capacitance Co and provides the load
current. Figure 6 shows the ON state diagram for switch Q1, in which switch Q1 is ON and the diode D1 is
on. Inductor L1 charges the capacitor C 1 and provides the load current. The Inductor L2 is connected to the
load: it charges the output capacitor Co and provides the load current.](https://image.slidesharecdn.com/2715865-200825033641/85/Efficient-bridgeless-SEPIC-converter-fed-PMBLDC-motor-using-artificial-neural-network-2-320.jpg)
![ ISSN:2088-8708
Int J Elec & Comp Eng, Vol. 9, No. 4, August 2019: 3025 - 3031
3030
3.4. Reading of proposed bridgeless SEPIC system
The proposed system is simulated using MATLAB / Simulink. The input voltage is changed from
195V to 230V (normal supply voltage) and the power factor, output voltage, output current and speed of the
motor readings are taken and tabulated in Table 1. The tabulated values are clearly showing, the power factor
is maintained near-unity with less voltage and current ripple using bridgeless SEPIC Converter with ANN.
Table 1. Reading of conveter parameter with varioous input voltage
Input
Voltage (V)
Output
Voltage(v)
Power
Factor
Output
Current(A)
Speed(rpm)
230V 35.5V 0.975 2.7A 1400
225V 35.4V 0.986 2.6A 1399
220V 35.2V 0.984 2.6A 1399
215V 35V 0.983 2.6A 1398
210V 35V 0.98 2.5A 1398
205V 34.9V 0.975 2.5A 1397
200V 34.9V 0.973 2.55A 1397
195V 34.8V 0.972 2.45A 1397
190V 34.8V 0.97 2.45A 1397
3.5. Comparative analysis of various converters
Comparative analysis of various converters refer Table 2. In this proposed Artificial Neural Network
system has very fast responses compared with other controlling methods. The settling time of the system
has 0.4msec.
Table 2. Comparison of PFC converter with various topologies
SEPIC Bridgeless SEPIC(ANN)
No. of switches 1 2
No. of components Medium Less
Power Factor 0.925 0.975
THD 35.2% 17.36%
Current Ripple 0.5A 0.3A
Voltage Ripple 3V 0.3V
Cost Medium Less
settling time 2 0.4msec
4. CONCLUSION
In this paper, single stage Bridgeless SEPIC converter with Artificial neural network controller fed
PMBLDC Motor has been proposed and verified with MATLAB Simulink and the results are compared with
traditional SEPIC fed BLDC Motor. The main advantage of the Bridgeless SEPIC with ANN Converter is
provides, power factor reaching near-unity with low Voltage stress, low Total Harmonic Distortion and low
settling time under input voltage variations and load variation. The study is also proving that, the proposed
circuit would be more suitable for low power applications.
REFERENCES
[1] C. G. Bianchin and R. Gules, “High-Power-Factor Rectifier Using the Modified SEPIC Converter Operating in
Discontinuous Conduction Modes,”IEEE Transactions on Power Electronics, vol/issue: 30(8), pp. 4349,2015.
[2] J. W. Yang and H. L. Do, “Bridgeless SEPIC Converter with a Ripple-Free Input Current,” vol/issue: 28(7),
pp 3388-3394,2013.
[3] J.M. Kwon, et al., “Continuous-conduction-mode SEPIC converter with low reverse-recovery loss for power factor
correction,”IEEE Transactionson Eelectric Power Application, vol/issue: 153(5), pp. 673, 2006.
[4] M. R. Sahid, et al., “A New AC-DC Converter Using Bridgeless SEPIC,” IECON 2010 - 36th Annual Conference
on IEEE Industrial Electronics Society, 2010.
[5] Meena Devi R., “Fuzzy Logic Based Sensorless Speed Control of SEPIC Fed BLDC Drive,”International Journal
of Applied Engineering Research, vol/issue: 10(2), pp. 2715.
[6] Pop, et al., “Power factor correction circuit with a new modified SEPIC converter,”Electronics Technology:
Concurrent Engineering in Electronic Packaging, 2001.
[7] A. J. Sabzali, et al., “New Bridgeless DCM Sepic and Cuk PFC Rectifiers with Low Conduction and Switching
Losses,”IEEE Transactions on Industry Applications, vol/issue: 47(2), 2011.](https://image.slidesharecdn.com/2715865-200825033641/85/Efficient-bridgeless-SEPIC-converter-fed-PMBLDC-motor-using-artificial-neural-network-6-320.jpg)
![Int J Elec & Comp Eng ISSN: 2088-8708
Efficient bridgeless SEPIC converter fed PMBLDC motor using artificial neural network (Meena Devi R)
3031
[8] M. Mahdav and H. Farzanehfard, “Bridgeless SEPIC PFC Rectifier with Reduced Components and Conduction
Losses,”IEEE Transactions on Industrial Electronics, vol/issue: 58(9), pp. 4153, 2011.
[9] B. Singh, et al., “Comprehensive Study of Single-Phase AC-DC Power Factor Corrected Converters with High-
Frequency Isolation,” IEEE Transactions on Industrial Informatics, vol/issue: 7(4), pp. 540, 2011.
[10] A. R. Babua, et al., “Novel cascaded H-bridge sub-multilevel inverter with reduced switches towards lowtotal
harmonic distortion for photovoltaic application,” International Journal of Ambient Energy, vol/issue: 47(2), 2011.
[11] K. J. Rathi and M. S. Ali, “NNC for Power Electronics Converter Circuits,”International Journal of Electrical and
Electronics Research, vol/issue: 4(1), pp. 78-84, 2016.
[12] Meena Devi R., “Variable Sampling Effect for BLDC Motors using Fuzzy PI Controller,” Indian Journal of
Science and Technology, vol/issue: 8(35), 2015.
[13] Meena Devi R., L. Premalatha. "Soft Computing Technique of Bridgeless SEPIC Converter for PMBLDC Motor
Drive" International Journal of Power Electronics and Drive Systems (IJPEDS), 2018,Vol. 9, No. 4, December
2018, pp. 1503~1509
[14] Junming Zhang, Chengdong Zhao, “A family of single phase hybrid step down PFC converters”, IEEE transaction
of power Electronic vol.32, no.7, pp.5271-5281, July 2017.
[15] Chung-Chief Fang and Richard Redl, “Subharmonic Instability limits for the peak-current-controlled boost, buck-
boost, flyback, and SEPIC converters with closed voltage feedback loop” IEEE transaction of power Electronics,
vol.32, no.5, 2017, pp.4048-4055
[16] Junming Zhang, Chengdong Zhao, “A family of single phase hybrid step down PFC converters”, IEEE transaction
of power electronic vol.32, no.7, pp.5271-5281, July 2017
[17] Anbukumar Kavitha and Govindarajan Uma, “Control of Choos in SEPIC DC-DC converter”, International
JOurnal of Control , Automation and system vol.8, no.6, pp. 1320-1329, 2010](https://image.slidesharecdn.com/2715865-200825033641/85/Efficient-bridgeless-SEPIC-converter-fed-PMBLDC-motor-using-artificial-neural-network-7-320.jpg)
Efficient bridgeless SEPIC converter fed PMBLDC motor using artificial neural network
- 1. International Journal of Electrical and Computer Engineering (IJECE) Vol.9, No.4, August2019, pp. 3025~3031 ISSN: 2088-8708, DOI: 10.11591/ijece.v9i4.pp3025-3031 3025 Journal homepage: http://iaescore.com/journals/index.php/IJECE Efficient figureconverter fed PMBLDC motor using artificial neural network Meena Devi R1 , L. Premalatha2 1 Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India 2 School of Electrical Engineering, Vellore Institute of Technology (VIT),Chennai, India Article Info ABSTRACT Article history: ReceivedSep6, 2018 Revised Mar 21, 2019 Accepted Apr4, 2019 In this paper, a new design of Bridgeless SEPIC (Single Ended Primary Inductance converter) with Artificial neural network (ANN) fed PMBLDC Motor drive is proposed to improve Power Factor. The proposed converter has single switching device of MOSFET, so the switching losses is reduced.ANN is used to achieve the higher power factor and fixed dc link voltage. Also the ANN methodology the time taken for computation is less since there is no mathematical model. The output voltage depends on the switching frequency of the MOSFET. The BLSEPIC act as a buck operation in continuous conduction mode. Detailed converter analysis, equivalent circuit and closed-loop analysis are presented for 36V, 120W, 1500rpm BLDC Motor drive. This proposed converter produces low conduction loss, low total harmonic reduction, low settling time and high power factor reaching near-unity. All the simulation work is verified with MATLAB – Simulink. Keywords: ANN controller Current controller PFC PMBLDC motor Power factor THD Voltage controller Copyright © 2019Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Meena Devi R, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India. Email: [email protected] 1. INTRODUCTION Power Quality of the AC system has become great challenge due to large increased in industrial. Power Quality like Power factor (PF), Total harmonic distortion(THD), Output voltage ripple are affected due to Power Electronic equipment [1, 2]. A PFC (Power Factor correction) converter places the input current in phase with input voltage waveforms. When Power Factor is 1.0, the input Current is perfectly in phase with the input Voltage [3, 4]. Brushless dc Motor are compact and energy saving machine with high efficiency. BLDC Motor used for various applications like pump, fan, electric vehicle, washing machine etc. The main advantage of BLDC motor is energy saver, less maintenance, greater speed range and better thermal efficiency.Single- Ended Primary Inductance Converter (SEPIC) AC-DC Rectifier has several advantages of step-up and step down capabilities. SEPIC converter has been operated in continuous conduction mode (CCM) has been proposed. The output of SEPIC converter is positive, hence this is recommended in applications such as battery chargers, fan, Air-conditioners, motor drive and home appliances [5-9]. Bridgeless PFC topologies are proposed topology can reduce conduction losses from rectifying bridges; thus, overall system efficiency can be increased. Unlike the boost, the SEPIC and bridgeless SEPIC converters have many several benefits in PFC applications, such as easier implementation of transformer isolation, input surge current limitation during startup and full-load conditions, lower input current ripple, and less electromagnetic interference [11-15]. More over Current Mode Control (CMC) architecture has been widely used for Power Factor correction. Based on different modulating schemes such as constant turn-on control method, constant-OFF
- 2. ISSN:2088-8708 Int J Elec & Comp Eng, Vol. 9, No. 4, August 2019: 3025 - 3031 3026 time control method, average current control method, peak current control method and hysteresis current control method. In this paper proposed the average current controlling method. In this method very simple and high efficiency’s CMC has been two feedback control. Outer is voltage control and inner loop is current control [16-10]. The Artificial neural network outputs the appropriate control signal for achieving the desired speed under variations in the motor load [17]. The ANN must learn the connection weight from available training pattern. Perform is improved over time by iterative updating the weight. In general, soft computing method can be used in all motor drive. In this modern technology, can increase performance and PMBLDC motor using ANN. 2. OPERATION OF THE BRIDGELESS SEPIC CONVERTER WITH ANN 2.1. Basic bridgeless SEPIC converter circuit The basic single stage bridgeless SEPIC circuit is shown in Figure 1. In this system, there are two MOSFET switch replacing diode bridge rectifiers, which helps to reduce high conduction loss, but the controller circuit is complex to implement, and the size of the system too high. Figure 1. Basic bridgeless SEPIC circuit 2.2. Design calculation of bridgeless SEPIC converter circuit The fundamental operation of the SEPIC converter is shown at the point when the switch S1 is turned on, the inductance L1 is charged; in the meantime the inductance L2reads energy from the capacitance C2. The output Capacitance Co supplies the load. At the point when the MOSFET switch S1 is turned off, L1 charges C1 and also supplies the current to load. L2 is connected to the load. Using the (1)-(6),the SEPIC Converter is designed for a constant link voltage Vout=36V, Vin=195V to 230V, I=3.5A, L1=L2=L=230mH, C1=171µF, C2=1000µF and fsw=20KHZ. Vo= Vin * D / (1-D) (1) D= (1 + VD) / (Vin + Vout + VD) (2) L1= L2 = D * Vin/ {fs (∆I L1)} (3) C2 >= (Iout * D) / Vripple * 0.5 fs (4) Voltage error =Vref - Vo (5) I ref = Vref - Vo) / r(t) * sinωt (6) 2.3. Proposed BRIDGELESS SEPIC converter modes operation Figure 2 shows the Modes of Operation circuit diagram. In OFF state diagram for switch Q1, in which switch is off and the diode D1 is ON. Inductor L1charges the capacitance C2 and provides the load current. The Inductor Lois connected to load: it charges the output capacitance Co and provides the load current. Figure 6 shows the ON state diagram for switch Q1, in which switch Q1 is ON and the diode D1 is on. Inductor L1 charges the capacitor C 1 and provides the load current. The Inductor L2 is connected to the load: it charges the output capacitor Co and provides the load current.
- 3. Int J Elec & Comp Eng ISSN: 2088-8708 Efficient bridgeless SEPIC converter fed PMBLDC motor using artificial neural network (Meena Devi R) 3027 Figure 2. Modes of operation of bridgeless SEPIC circuit 2.4. Proposed BRIDGELESS SEPIC converter with ANN controller Artificial Neural Network has very popular in many control application due to high computation rate and ability to handle the nonlinear load. In this proposed system with ANN controller used to control the speed of the BLDC motor. ANN system is reduced the steady state error and Peak overshoot. A trained neural network is required less computation time and memory. ANN has 3 layers, input layer, hidden layer and output layer. Inthis circuit diagram shown in Figure 3 and Modes of operation of bridgeless SEPIC circuit as shown in Figure 4. Figure 3. Input and output layer of ANN Feed forward neural network is selected having 30 hidden layers, obtained by trial and error process. Tansig transfer function is used for hidden layers and by using back propagation method the network is trained using the data obtained. (7) where, ai is output of the neural network at node i; Wij is the weight between the nodes i and j; Xj are the states variables evaluated by activation functions. Figure 4. Modes of operation of bridgeless SEPIC circuit
- 4. ISSN:2088-8708 Int J Elec & Comp Eng, Vol. 9, No. 4, August 2019: 3025 - 3031 3028 3. OPERATION OF PROPOSED BRIDGELESS SEPIC CONVERTER FED BLDC MOTOR DRIVE 3.1. Block diagram of proposed system The proposed topology consists of Bridgeless SEPIC Converter, ANN controller, reference current generator, PWM generator, filter, zero crossing detectors, VSI and the BLDC motor. The block diagram is given below Figure 5. Figure 5. Block diagram of proposed system 3.2. Sumulation circuit diagram for proposed system The Proposed System Bridgeless SEPIC with ANN circuit is shown in Figure 6. In this proposed system, there is single MOSFET switch replacing the two MOSFETs, which helps to reduce high conduction loss and reduce the size of the converter. In this proposed to reduce the complexity of controller circuit. Theclosed loop of Bridgeless SEPIC converter circuit shown in Figure 7. In this system has two loop control method. One is outer layer (voltage control) and another one is inner layer (current control). Voltage control is used to control the output voltage disturbance. Figure 6. Proposed system bridgeless SEPIC with ANN circuit
- 5. Int J Elec & Comp Eng ISSN: 2088-8708 Efficient bridgeless SEPIC converter fed PMBLDC motor using artificial neural network (Meena Devi R) 3029 Figure 7. Proposed system bridgeless SEPIC fed PMBLDC motor 3.3. Bridgeless SEPIC with PMBLDC motor output wave form Output wave form of Bridgeless SEPIC fed BLDC motor converter is shown in Figure 8. Output voltage ripple =0.3V current ripple = 0.3A and the Power Factor = 0.978with PMLDC motor drive. If change in the load occurs in 0.5msec at that time response shown in Figure 9 and also shown the input Current ant Voltage waveform in Figure 10. The Speed control of BLDC Motor shown in Figure 11. Figure 8. Output voltage and current waveform of BRIDGELESS SEPIC converter without disturbance Figure 9. Output voltage and current waveform of BRIDGELESS SEPIC converter with disturbance Figure 10. Input voltage and current waveform of BRIDGELESS SEPIC with ANN Figure 11. Speed of PMBLDC motor
- 6. ISSN:2088-8708 Int J Elec & Comp Eng, Vol. 9, No. 4, August 2019: 3025 - 3031 3030 3.4. Reading of proposed bridgeless SEPIC system The proposed system is simulated using MATLAB / Simulink. The input voltage is changed from 195V to 230V (normal supply voltage) and the power factor, output voltage, output current and speed of the motor readings are taken and tabulated in Table 1. The tabulated values are clearly showing, the power factor is maintained near-unity with less voltage and current ripple using bridgeless SEPIC Converter with ANN. Table 1. Reading of conveter parameter with varioous input voltage Input Voltage (V) Output Voltage(v) Power Factor Output Current(A) Speed(rpm) 230V 35.5V 0.975 2.7A 1400 225V 35.4V 0.986 2.6A 1399 220V 35.2V 0.984 2.6A 1399 215V 35V 0.983 2.6A 1398 210V 35V 0.98 2.5A 1398 205V 34.9V 0.975 2.5A 1397 200V 34.9V 0.973 2.55A 1397 195V 34.8V 0.972 2.45A 1397 190V 34.8V 0.97 2.45A 1397 3.5. Comparative analysis of various converters Comparative analysis of various converters refer Table 2. In this proposed Artificial Neural Network system has very fast responses compared with other controlling methods. The settling time of the system has 0.4msec. Table 2. Comparison of PFC converter with various topologies SEPIC Bridgeless SEPIC(ANN) No. of switches 1 2 No. of components Medium Less Power Factor 0.925 0.975 THD 35.2% 17.36% Current Ripple 0.5A 0.3A Voltage Ripple 3V 0.3V Cost Medium Less settling time 2 0.4msec 4. CONCLUSION In this paper, single stage Bridgeless SEPIC converter with Artificial neural network controller fed PMBLDC Motor has been proposed and verified with MATLAB Simulink and the results are compared with traditional SEPIC fed BLDC Motor. The main advantage of the Bridgeless SEPIC with ANN Converter is provides, power factor reaching near-unity with low Voltage stress, low Total Harmonic Distortion and low settling time under input voltage variations and load variation. The study is also proving that, the proposed circuit would be more suitable for low power applications. REFERENCES [1] C. G. Bianchin and R. Gules, “High-Power-Factor Rectifier Using the Modified SEPIC Converter Operating in Discontinuous Conduction Modes,”IEEE Transactions on Power Electronics, vol/issue: 30(8), pp. 4349,2015. [2] J. W. Yang and H. L. Do, “Bridgeless SEPIC Converter with a Ripple-Free Input Current,” vol/issue: 28(7), pp 3388-3394,2013. [3] J.M. Kwon, et al., “Continuous-conduction-mode SEPIC converter with low reverse-recovery loss for power factor correction,”IEEE Transactionson Eelectric Power Application, vol/issue: 153(5), pp. 673, 2006. [4] M. R. Sahid, et al., “A New AC-DC Converter Using Bridgeless SEPIC,” IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society, 2010. [5] Meena Devi R., “Fuzzy Logic Based Sensorless Speed Control of SEPIC Fed BLDC Drive,”International Journal of Applied Engineering Research, vol/issue: 10(2), pp. 2715. [6] Pop, et al., “Power factor correction circuit with a new modified SEPIC converter,”Electronics Technology: Concurrent Engineering in Electronic Packaging, 2001. [7] A. J. Sabzali, et al., “New Bridgeless DCM Sepic and Cuk PFC Rectifiers with Low Conduction and Switching Losses,”IEEE Transactions on Industry Applications, vol/issue: 47(2), 2011.
- 7. Int J Elec & Comp Eng ISSN: 2088-8708 Efficient bridgeless SEPIC converter fed PMBLDC motor using artificial neural network (Meena Devi R) 3031 [8] M. Mahdav and H. Farzanehfard, “Bridgeless SEPIC PFC Rectifier with Reduced Components and Conduction Losses,”IEEE Transactions on Industrial Electronics, vol/issue: 58(9), pp. 4153, 2011. [9] B. Singh, et al., “Comprehensive Study of Single-Phase AC-DC Power Factor Corrected Converters with High- Frequency Isolation,” IEEE Transactions on Industrial Informatics, vol/issue: 7(4), pp. 540, 2011. [10] A. R. Babua, et al., “Novel cascaded H-bridge sub-multilevel inverter with reduced switches towards lowtotal harmonic distortion for photovoltaic application,” International Journal of Ambient Energy, vol/issue: 47(2), 2011. [11] K. J. Rathi and M. S. Ali, “NNC for Power Electronics Converter Circuits,”International Journal of Electrical and Electronics Research, vol/issue: 4(1), pp. 78-84, 2016. [12] Meena Devi R., “Variable Sampling Effect for BLDC Motors using Fuzzy PI Controller,” Indian Journal of Science and Technology, vol/issue: 8(35), 2015. [13] Meena Devi R., L. Premalatha. "Soft Computing Technique of Bridgeless SEPIC Converter for PMBLDC Motor Drive" International Journal of Power Electronics and Drive Systems (IJPEDS), 2018,Vol. 9, No. 4, December 2018, pp. 1503~1509 [14] Junming Zhang, Chengdong Zhao, “A family of single phase hybrid step down PFC converters”, IEEE transaction of power Electronic vol.32, no.7, pp.5271-5281, July 2017. [15] Chung-Chief Fang and Richard Redl, “Subharmonic Instability limits for the peak-current-controlled boost, buck- boost, flyback, and SEPIC converters with closed voltage feedback loop” IEEE transaction of power Electronics, vol.32, no.5, 2017, pp.4048-4055 [16] Junming Zhang, Chengdong Zhao, “A family of single phase hybrid step down PFC converters”, IEEE transaction of power electronic vol.32, no.7, pp.5271-5281, July 2017 [17] Anbukumar Kavitha and Govindarajan Uma, “Control of Choos in SEPIC DC-DC converter”, International JOurnal of Control , Automation and system vol.8, no.6, pp. 1320-1329, 2010