Fuzzy-Logic Based Speed Control of Induction Motor Considering Core Loss into Account

Author(s)
Mohammad Abdul Mannan,
Asif Islam,
Mohammad Nasir Uddin,
Mohammad Kamrul Hassan,
Toshiaki Murata,
Junji Tamura

Affiliation(s)

Department of Electrical & Electronic Engineering, American International University, Bangladesh (AIUB), Dhaka, Bangladesh.

Department of Electrical & Electronic Engineering, Bangladesh University of Engineering & Technology (BUET), Dhaka, Bangladesh.

Department of Electrical Engineering, Kitami Institute, Hokkaido, Japan.

Department of Electrical & Electronic Engineering, American International University, Bangladesh (AIUB), Dhaka, Bangladesh.

Department of Electrical & Electronic Engineering, Bangladesh University of Engineering & Technology (BUET), Dhaka, Bangladesh.

Department of Electrical Engineering, Kitami Institute, Hokkaido, Japan.

ABSTRACT

Rotor flux and torque of an induction motor (IM) are decoupled to obtain performance of DC motor. The decoupling strategy has been developed in terms of stator current components where the core loss is neglected. Many different controllers including fuzzy logic controller (FLC) with neglecting core loss have been designed to control the speed of induction motor. The outcome of investigation about the effect of core loss on indirect field oriented control (IFOC) has been concluded that the actual flux and torque are not reached to the reference flux and torque if core loss is neglected. Thus, the purpose of this paper is to propose a fuzzy logic speed controller of induction motor where flux and torque decoupling strategy is decoupled in terms of magnetizing current instead of stator current to alleviate the effects of core loss. The performances of proposed fuzzy-logic-based controller have been verified by computer simulation. The simulation of speed control of IM using PI and FLC are performed. The simulation study for high-performance control of IM drive shows the superiority of the proposed fuzzy logic controller over the conventional PI controller.

Rotor flux and torque of an induction motor (IM) are decoupled to obtain performance of DC motor. The decoupling strategy has been developed in terms of stator current components where the core loss is neglected. Many different controllers including fuzzy logic controller (FLC) with neglecting core loss have been designed to control the speed of induction motor. The outcome of investigation about the effect of core loss on indirect field oriented control (IFOC) has been concluded that the actual flux and torque are not reached to the reference flux and torque if core loss is neglected. Thus, the purpose of this paper is to propose a fuzzy logic speed controller of induction motor where flux and torque decoupling strategy is decoupled in terms of magnetizing current instead of stator current to alleviate the effects of core loss. The performances of proposed fuzzy-logic-based controller have been verified by computer simulation. The simulation of speed control of IM using PI and FLC are performed. The simulation study for high-performance control of IM drive shows the superiority of the proposed fuzzy logic controller over the conventional PI controller.

Cite this paper

M. Mannan, A. Islam, M. Uddin, M. Hassan, T. Murata and J. Tamura, "Fuzzy-Logic Based Speed Control of Induction Motor Considering Core Loss into Account,"*Intelligent Control and Automation*, Vol. 3 No. 3, 2012, pp. 229-235. doi: 10.4236/ica.2012.33026.

M. Mannan, A. Islam, M. Uddin, M. Hassan, T. Murata and J. Tamura, "Fuzzy-Logic Based Speed Control of Induction Motor Considering Core Loss into Account,"

References

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[2] F. Harashima, S. Kondo, K. Ohnishi, M. Kajita and M. Susono, “Multi-Microprocessor-Based Control System for Quick Response Induction Motor Drive,” IEEE Transaction Industrial Applications, Vol. 21, No. 3, 1985, pp. 602609.

[3] B. K. Bose: “Motion Control Technology-Present and Future,” IEEE Transaction on Industrial Applications, Vol. 21, No. 6, 1985, pp. 1337-1342. doi:10.1109/TIA.1985.349587

[4] C.-M. Ong, “Dynamic Simulation of Electric Machinery Using Matlab/Simulink,” Prentice Hall PTR, Upper Saddle River, 1998.

[5] A. E. Fitzgerald, et al., “Electric Machinery,” 5th Edition, McGraw-Hill, New York, 1990.

[6] F. Blaschke, “The Principle of Field Orientation as Applied to the NEW Transvector Closed-Loop System for Rotating-Field Machines,” Siemens Review, Vol. 34, No. 3, 1972, pp. 217-220.

[7] Y. Y. Tzou, “Fuzzy Tuning Current-Vector Control of a Three-Phase PWM Inverter for High-Performance AC Drives,” IEEE Transaction on Industrial Electronics, Vol. 45, No. 5, 1998, pp. 782-791. doi:10.1109/41.720335

[8] K. Hasse, “Zum Dynamischen Verhalten der Asynchronmachine bei Betriek Mit Variabler Standerfrequenz und Standerspannung,” ETZ-A, Vol. 89, 1968, p. 77.

[9] R. D. Lorenz and D. B. Lawson, “A Simplified Approach to Continuous On-Line Tuning of Field-Oriented Induction Machine Drives,” IEEE Transaction on Industry Application, Vol. 26, No. 3, 1990.

[10] B. K. Bose, “Power Electronics and Variable Frequency Drives,” IEEE Press Standard Publishers, 1997.

[11] I. Boldea and S. A. Nasar, “Vector Control of AC Drives,” CRC Press, London, 1992.

[12] W. Leonhard, “Control of Electric Drives,” Springer Verlag, Berlin, 1985.

[13] R. Krishnan, “Electric Motors Drives Modeling Analysis and Control,” Publication Prentice Hall of India, New Delhi, 2002.

[14] A. Mechernene, M. Zerikat and M. Hachblef, “Fuzzy Speed Regulation for Induction Motor Associated with Field-Oriented Control,” IJ-STA, Vol. 2, No. 2, 2008, pp. 804-817.

[15] R. Marino, S. Peresada and P. Valigi, “Adaptive InputOutput Linearizing Control of Induction Motors,” IEEE Transaction on Automation, Vol. 38, No. 2, 1993, pp. 208-211. doi:10.1109/9.250510

[16] M. N. Uddin, T. S. Radwan and M. A. Rahman, “Performances of Fuzzy-Logic-Based Indirect Vector Control for Induction Motor Drive,” IEEE Transaction on Industrial Applications, Vol. 38, No. 5, 2002, pp. 1219-1225.

[17] I. Boldea and S. A. Nasar, “Unified Treatment of Core Losses and Saturation in the Orthogonal-Axis Model of Electrical Machines,” Proceedings of Institute of Electrical Engineers, Vol. 134-B, No. 6, 1987, pp. 355-363.

[18] E. Levi, “Impact of Iron Loss on Behavior of Vector Controlled Induction Machines,” IEEE Transaction on Industrial Application, Vol. 31, No. 6, 1995, pp. 12871296. doi:10.1109/28.475699

[19] E. Levi, A. Boglietti and M. Lazzari, “Comparative Study of Detuning Effects in Indirect Vector Controlled Induction Motor Drives Due to Iron Losses,” Proceedings of International Conference on Power Electronics and Drive Systems, Liverpool, 21-24 February 1995, pp. 633-638.

[20] E. Levi, “Rotor Flux Oriented Control of Induction Machines Considering the Core Loss,” Electric Machine and Power Systems, Vol. 24, 1996, pp. 37-50. doi:10.1080/07313569608955658

[21] E. Levi, “Iron Loss in Rotor-Flux-Oriented Induction Machines: Identification, Assessment of Detuning, and Compensation,” IEEE Transaction on Power Electronics, Vol. 11, No. 5, 1996, pp. 698-709. doi:10.1109/63.535402

[22] M. A. Mannan, T. Murata, J. Tamura and T. Tsuchiya, “Indirect Field Oriented Control for High Performance Induction Motor Drives Using Space Vector Modulation with Consideration of Core Loss,” Proceedings of PESC’03, Acapulco, 15-19 June 2003, pp. 1449-1454.

[23] D. Driankov, H. Hellendoorn and M. Reinfrank, “An Introduction to Fuzzy Control,” Springer-Verlag, Berlin, 1993.

[24] S. Tunyasrirut, T. Suksri and S. Srilad, “Fuzzy Logic Control for a Speed Control of Induction Motor Using Space Vector Pulse Width Modulation,” World Academy of Science, Engineering and Technology, No. 25, Topics 14, 2007, pp. 71-77.

[1] P. Vas, “Electrical Machines and Drives: A Space-Vector Theory Approach,” Clarendon Press, New York, 1992.

[2] F. Harashima, S. Kondo, K. Ohnishi, M. Kajita and M. Susono, “Multi-Microprocessor-Based Control System for Quick Response Induction Motor Drive,” IEEE Transaction Industrial Applications, Vol. 21, No. 3, 1985, pp. 602609.

[3] B. K. Bose: “Motion Control Technology-Present and Future,” IEEE Transaction on Industrial Applications, Vol. 21, No. 6, 1985, pp. 1337-1342. doi:10.1109/TIA.1985.349587

[4] C.-M. Ong, “Dynamic Simulation of Electric Machinery Using Matlab/Simulink,” Prentice Hall PTR, Upper Saddle River, 1998.

[5] A. E. Fitzgerald, et al., “Electric Machinery,” 5th Edition, McGraw-Hill, New York, 1990.

[6] F. Blaschke, “The Principle of Field Orientation as Applied to the NEW Transvector Closed-Loop System for Rotating-Field Machines,” Siemens Review, Vol. 34, No. 3, 1972, pp. 217-220.

[7] Y. Y. Tzou, “Fuzzy Tuning Current-Vector Control of a Three-Phase PWM Inverter for High-Performance AC Drives,” IEEE Transaction on Industrial Electronics, Vol. 45, No. 5, 1998, pp. 782-791. doi:10.1109/41.720335

[8] K. Hasse, “Zum Dynamischen Verhalten der Asynchronmachine bei Betriek Mit Variabler Standerfrequenz und Standerspannung,” ETZ-A, Vol. 89, 1968, p. 77.

[9] R. D. Lorenz and D. B. Lawson, “A Simplified Approach to Continuous On-Line Tuning of Field-Oriented Induction Machine Drives,” IEEE Transaction on Industry Application, Vol. 26, No. 3, 1990.

[10] B. K. Bose, “Power Electronics and Variable Frequency Drives,” IEEE Press Standard Publishers, 1997.

[11] I. Boldea and S. A. Nasar, “Vector Control of AC Drives,” CRC Press, London, 1992.

[12] W. Leonhard, “Control of Electric Drives,” Springer Verlag, Berlin, 1985.

[13] R. Krishnan, “Electric Motors Drives Modeling Analysis and Control,” Publication Prentice Hall of India, New Delhi, 2002.

[14] A. Mechernene, M. Zerikat and M. Hachblef, “Fuzzy Speed Regulation for Induction Motor Associated with Field-Oriented Control,” IJ-STA, Vol. 2, No. 2, 2008, pp. 804-817.

[15] R. Marino, S. Peresada and P. Valigi, “Adaptive InputOutput Linearizing Control of Induction Motors,” IEEE Transaction on Automation, Vol. 38, No. 2, 1993, pp. 208-211. doi:10.1109/9.250510

[16] M. N. Uddin, T. S. Radwan and M. A. Rahman, “Performances of Fuzzy-Logic-Based Indirect Vector Control for Induction Motor Drive,” IEEE Transaction on Industrial Applications, Vol. 38, No. 5, 2002, pp. 1219-1225.

[17] I. Boldea and S. A. Nasar, “Unified Treatment of Core Losses and Saturation in the Orthogonal-Axis Model of Electrical Machines,” Proceedings of Institute of Electrical Engineers, Vol. 134-B, No. 6, 1987, pp. 355-363.

[18] E. Levi, “Impact of Iron Loss on Behavior of Vector Controlled Induction Machines,” IEEE Transaction on Industrial Application, Vol. 31, No. 6, 1995, pp. 12871296. doi:10.1109/28.475699

[19] E. Levi, A. Boglietti and M. Lazzari, “Comparative Study of Detuning Effects in Indirect Vector Controlled Induction Motor Drives Due to Iron Losses,” Proceedings of International Conference on Power Electronics and Drive Systems, Liverpool, 21-24 February 1995, pp. 633-638.

[20] E. Levi, “Rotor Flux Oriented Control of Induction Machines Considering the Core Loss,” Electric Machine and Power Systems, Vol. 24, 1996, pp. 37-50. doi:10.1080/07313569608955658

[21] E. Levi, “Iron Loss in Rotor-Flux-Oriented Induction Machines: Identification, Assessment of Detuning, and Compensation,” IEEE Transaction on Power Electronics, Vol. 11, No. 5, 1996, pp. 698-709. doi:10.1109/63.535402

[22] M. A. Mannan, T. Murata, J. Tamura and T. Tsuchiya, “Indirect Field Oriented Control for High Performance Induction Motor Drives Using Space Vector Modulation with Consideration of Core Loss,” Proceedings of PESC’03, Acapulco, 15-19 June 2003, pp. 1449-1454.

[23] D. Driankov, H. Hellendoorn and M. Reinfrank, “An Introduction to Fuzzy Control,” Springer-Verlag, Berlin, 1993.

[24] S. Tunyasrirut, T. Suksri and S. Srilad, “Fuzzy Logic Control for a Speed Control of Induction Motor Using Space Vector Pulse Width Modulation,” World Academy of Science, Engineering and Technology, No. 25, Topics 14, 2007, pp. 71-77.