Induction Motor Speed Control Using Fuzzy Logic Controller
Because of the low maintenance and robustness induction motors have many applications in the industries. The speed control of induction motor is more important to achieve maximum torque and efficiency. Various speed control techniques like, Direct Torque Control, Sensorless Vector Control and Field Oriented Control are discussed in this paper. Soft computing technique – Fuzzy logic is applied in this paper for the speed control of induction motor to achieve maximum torque with minimum loss. The fuzzy logic controller is implemented using the Field Oriented Control technique as it provides better control of motor torque with high dynamic performance. The motor model is designed and membership functions are chosen according to the parameters of the motor model. The simulated design is tested using various tool boxes in MATLAB. The result concludes that the efficiency and reliability of the proposed speed controller is good.
[1] S. H. Kim and S. K. Sul, "Voltage control strategy for maximum torque
operation of an induction machine in the field weakening region," in
Proc. IECON-94, 1994, pp. 599-604.
[2] B. K. Bose, Power Electronics and AC Drives. Englewood Cliffs,
NJ:Prentice Hall, 1986.
[3] X. Xu and D. W. Novotny, "Selecting the flux reference for induction
machine drives in the field weakening region," IEEE Trans. Ind.
Applicat., vol. 28, pp. 1353-1358, Nov. /Dec. 1992.
[4] D. W. Novotny and T. A. Lipo. Vector Control and Dynamics of AC
Drives, Oxford University Press, 1997.
[5] T. G. Habetler et al., "Direct torque control of induction machines using
space vector modulation," IEEE Trans. Ind. Applicat., vol. 28,pp. 1045-
1053, Sept./Oct. 1992.
[6] I. Takahashi and T. Noguchi. A new quick response and high efficiency
control strategy for an induction motor. IEEE Trans. Industry
Applications. Vol. IA-22, No. 5, pp. 820-827, Sept/Oct 1986.
[7] F.D.S.Cardoso, J.F.Martins, V.F.Pires, "A Comparative Study of a PI,
Neural Network and Fuzzy Genetic Approach Controllers for an AC
Drive" 5th International Workshop on Advanced Motion Control,
pp.375 -380, 29 Jun 1998.
[8] A. Munoz-Garcia, T.A.Lipo, D.W.Novotny, "A New Iinduction Motor
V/f Control Method Capable of High-Performance Regulation at Low
Speeds ", IEEE Transactions On Industry Application, Vol.34, pp.813 -
821, July-Aug.1998.
[9] B.K.Bose, "Intelligent Control and Estimation in Power Electronics and
Drives" IEEE International Electric Machines and Drives Conference
Record, pp. TA2/2.1 -TA2/2.6, May 1997.
[10] C.Y.Won and B.K.Bose, "An Induction Motor Servo System with
Improved Sliding Mode Control", IEEE Conf.Rec.of IECON-92, pp.60-
66, 1992.
[11] J.C.Hung, "Partical Industrial Control Technique", IEEE Conf.Rec.of
IECON-94, pp.7-14, 1994.
[12] B.K.Bose, "Fuzzy logic and neural networks in power electronics and
drives" IEEE Industry Applications Magazine, pp.57 -63, Vol.6,
May/Jun 2000.
[13] S.M.Chhaya, B.K.Bose, "Expert System Aided Automated Design,
Simulation and Controller Tuning of AC Drive System " Proceedings of
the 1995 IEEE IECON 21st International Conference on Industrial
Electronics, Control, and Instrumentation, 1995, pp.712 -718, Vol.1, 6-
10 Nov 1995.
[14] Ned mohan, Tore M.Undeland and Wiliam P.Robbins, Power
Electronics, New York, John Wiley & Sons, Press, 1998.
[15] Nihal Kularatna, Power Electronics Design Handbook, Boston, Newnes,
1998.
[16] G.D'Angelo, M.Lo Presti, G.Rizzotto, "Fuzzy Controller Design to
Drive an Induction Motor", Proceedings of the Third IEEE Conference
on Fuzzy Systems, Vol.3, pp.1502 -1507, 1994.
[17] S.Boverie, B.Demaya, A.Titli, "Fuzzy Logic Control Compared with
Other Automatic Control Approaches", Proceedings of the 30th IEEE
Conference On Decision and Control, vol.2, pp.1212 -1216, 1991.
[18] A.Gupta, "Simulation of Variable Speed Squirrel Cage Induction Motor
Constant Volts/Hertz Operation", IEEE International on Electric
Machines and Drives Conference Record, pp. TB3/8.1 -TB3/8.3, 1997.
[19] N.S.Gehlot and P.J.Alsina, "A discrete model of induction motors for
real time control applications," IEEE Trans. Ind. Electron., vol. 40, pp.
317-325, June 1993.
[1] S. H. Kim and S. K. Sul, "Voltage control strategy for maximum torque
operation of an induction machine in the field weakening region," in
Proc. IECON-94, 1994, pp. 599-604.
[2] B. K. Bose, Power Electronics and AC Drives. Englewood Cliffs,
NJ:Prentice Hall, 1986.
[3] X. Xu and D. W. Novotny, "Selecting the flux reference for induction
machine drives in the field weakening region," IEEE Trans. Ind.
Applicat., vol. 28, pp. 1353-1358, Nov. /Dec. 1992.
[4] D. W. Novotny and T. A. Lipo. Vector Control and Dynamics of AC
Drives, Oxford University Press, 1997.
[5] T. G. Habetler et al., "Direct torque control of induction machines using
space vector modulation," IEEE Trans. Ind. Applicat., vol. 28,pp. 1045-
1053, Sept./Oct. 1992.
[6] I. Takahashi and T. Noguchi. A new quick response and high efficiency
control strategy for an induction motor. IEEE Trans. Industry
Applications. Vol. IA-22, No. 5, pp. 820-827, Sept/Oct 1986.
[7] F.D.S.Cardoso, J.F.Martins, V.F.Pires, "A Comparative Study of a PI,
Neural Network and Fuzzy Genetic Approach Controllers for an AC
Drive" 5th International Workshop on Advanced Motion Control,
pp.375 -380, 29 Jun 1998.
[8] A. Munoz-Garcia, T.A.Lipo, D.W.Novotny, "A New Iinduction Motor
V/f Control Method Capable of High-Performance Regulation at Low
Speeds ", IEEE Transactions On Industry Application, Vol.34, pp.813 -
821, July-Aug.1998.
[9] B.K.Bose, "Intelligent Control and Estimation in Power Electronics and
Drives" IEEE International Electric Machines and Drives Conference
Record, pp. TA2/2.1 -TA2/2.6, May 1997.
[10] C.Y.Won and B.K.Bose, "An Induction Motor Servo System with
Improved Sliding Mode Control", IEEE Conf.Rec.of IECON-92, pp.60-
66, 1992.
[11] J.C.Hung, "Partical Industrial Control Technique", IEEE Conf.Rec.of
IECON-94, pp.7-14, 1994.
[12] B.K.Bose, "Fuzzy logic and neural networks in power electronics and
drives" IEEE Industry Applications Magazine, pp.57 -63, Vol.6,
May/Jun 2000.
[13] S.M.Chhaya, B.K.Bose, "Expert System Aided Automated Design,
Simulation and Controller Tuning of AC Drive System " Proceedings of
the 1995 IEEE IECON 21st International Conference on Industrial
Electronics, Control, and Instrumentation, 1995, pp.712 -718, Vol.1, 6-
10 Nov 1995.
[14] Ned mohan, Tore M.Undeland and Wiliam P.Robbins, Power
Electronics, New York, John Wiley & Sons, Press, 1998.
[15] Nihal Kularatna, Power Electronics Design Handbook, Boston, Newnes,
1998.
[16] G.D'Angelo, M.Lo Presti, G.Rizzotto, "Fuzzy Controller Design to
Drive an Induction Motor", Proceedings of the Third IEEE Conference
on Fuzzy Systems, Vol.3, pp.1502 -1507, 1994.
[17] S.Boverie, B.Demaya, A.Titli, "Fuzzy Logic Control Compared with
Other Automatic Control Approaches", Proceedings of the 30th IEEE
Conference On Decision and Control, vol.2, pp.1212 -1216, 1991.
[18] A.Gupta, "Simulation of Variable Speed Squirrel Cage Induction Motor
Constant Volts/Hertz Operation", IEEE International on Electric
Machines and Drives Conference Record, pp. TB3/8.1 -TB3/8.3, 1997.
[19] N.S.Gehlot and P.J.Alsina, "A discrete model of induction motors for
real time control applications," IEEE Trans. Ind. Electron., vol. 40, pp.
317-325, June 1993.
@article{"International Journal of Electrical, Electronic and Communication Sciences:54461", author = "V. Chitra and R. S. Prabhakar", title = "Induction Motor Speed Control Using Fuzzy Logic Controller", abstract = "Because of the low maintenance and robustness induction motors have many applications in the industries. The speed control of induction motor is more important to achieve maximum torque and efficiency. Various speed control techniques like, Direct Torque Control, Sensorless Vector Control and Field Oriented Control are discussed in this paper. Soft computing technique – Fuzzy logic is applied in this paper for the speed control of induction motor to achieve maximum torque with minimum loss. The fuzzy logic controller is implemented using the Field Oriented Control technique as it provides better control of motor torque with high dynamic performance. The motor model is designed and membership functions are chosen according to the parameters of the motor model. The simulated design is tested using various tool boxes in MATLAB. The result concludes that the efficiency and reliability of the proposed speed controller is good.
", keywords = "Induction motor, Field Oriented Control, Fuzzy logic
controller, Maximum torque, Membership function.", volume = "2", number = "11", pages = "2538-6", }
