A Fuzzy Logic Controller with Tuning Output Scaling Factor for Induction Motor Control Taking Core Loss into Account
Abstract
This paper presents a design of a fuzzy logic controller (FLC) with tuning output scaling factor for speed control of indirect field oriented induction motor (IM) taking core loss into account. The variation of output scaling factor of FLC depends on the normalized output of FLC. Firstly the speed control of IM taking core loss into account is presented by using FLC with fixed scaling factors (FLC-FSF). Secondly the speed controller based on suggested FLC with tuning output scaling factor (FLC-TOSF) is proposed. The performance of the proposed FLC-TOSF for speed control of IM are investigated and compared to those obtained using FLC-SFS at different operating conditions and variation of parameters. A comparison of simulation results shows that the convergence of actual speed to reference speed is faster by using the proposed FLC-TOSF.
Keywords
Core loss field oriented induction motor fuzzy logic controller fuzzy logic controller with tuning output scaling factor
References
- M. Nasir Uddin, Tawfik S. Radwan and M. Azizur Rahman, “Performances of Fuzzy-Logic-Based Indirect Vector Control for Induction Motor Drive,” IEEE Ind. Applications, vol.38, No. 5, pp. 1219 - 1225, Sep./Oct. 2002.
- I. Boldea and S.A. Nasar, “Unified Treatment of Core Losses and Saturation in the Orthogonal-axis Model of Electric Machines,” IEE Proc., Vol.134, Pt. B, No.6, pp.355 - 363, 1987.
- Emil Levi, “Rotor Flux Oriented Control of Induction Machines Considering the Core Loss,” Electrical Machines and Power Systems, Vol.24, No.1, pp. 37-50, 1996.
- 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,” in Proc. PESC’03, Acapulco, Mexico, pp. 1449–1454, 15-19 June, 2003.
- M. A. Mannan, T. Murata, J. Tamura and T. Tsuchiya, “Fuzzy-Logic-Based High-Performance Control of Induction Motor Taking Core Loss into Account,” in Proc.ICEM’04, Cracow, Poland, Paper No. 256, 5 - 8 September, 2004.
- B N Kar; K B Mohanty; M Singh, Indirect vector control of induction motor using fuzzy logic controller, in Proc. ICEEE”11 (International conference on Environment and Electrical Engineering), pp. 1-4, 2011.
- D. A. Linkens and H. O. Nyongesa, “Genetic Algorithams for Fuzzy Control Part 2: Online System Development and Application,” IEE Proc. Control Theory Application, Vol. 142, No. 3, pp. 177-185, 1995.
- Aldo Balestrino, Alberto Landi and Luca Sani, “CUK Converter Global Control Via Fuzzy Logic and Scaling Factors,” IEEE Ind. Applications, vol.38, No. 2, pp. 406 - 413, Mar./Apr. 2002.
- D. Driankov, H. Hellendoorn and M. Reinfrank, An Introduction to Fuzzy Control, Springer-Verlag, 1993.
Abstract
References
- M. Nasir Uddin, Tawfik S. Radwan and M. Azizur Rahman, “Performances of Fuzzy-Logic-Based Indirect Vector Control for Induction Motor Drive,” IEEE Ind. Applications, vol.38, No. 5, pp. 1219 - 1225, Sep./Oct. 2002.
- I. Boldea and S.A. Nasar, “Unified Treatment of Core Losses and Saturation in the Orthogonal-axis Model of Electric Machines,” IEE Proc., Vol.134, Pt. B, No.6, pp.355 - 363, 1987.
- Emil Levi, “Rotor Flux Oriented Control of Induction Machines Considering the Core Loss,” Electrical Machines and Power Systems, Vol.24, No.1, pp. 37-50, 1996.
- 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,” in Proc. PESC’03, Acapulco, Mexico, pp. 1449–1454, 15-19 June, 2003.
- M. A. Mannan, T. Murata, J. Tamura and T. Tsuchiya, “Fuzzy-Logic-Based High-Performance Control of Induction Motor Taking Core Loss into Account,” in Proc.ICEM’04, Cracow, Poland, Paper No. 256, 5 - 8 September, 2004.
- B N Kar; K B Mohanty; M Singh, Indirect vector control of induction motor using fuzzy logic controller, in Proc. ICEEE”11 (International conference on Environment and Electrical Engineering), pp. 1-4, 2011.
- D. A. Linkens and H. O. Nyongesa, “Genetic Algorithams for Fuzzy Control Part 2: Online System Development and Application,” IEE Proc. Control Theory Application, Vol. 142, No. 3, pp. 177-185, 1995.
- Aldo Balestrino, Alberto Landi and Luca Sani, “CUK Converter Global Control Via Fuzzy Logic and Scaling Factors,” IEEE Ind. Applications, vol.38, No. 2, pp. 406 - 413, Mar./Apr. 2002.
- D. Driankov, H. Hellendoorn and M. Reinfrank, An Introduction to Fuzzy Control, Springer-Verlag, 1993.
Details
| Primary Language | English |
|---|---|
| Journal Section | Research Article |
| Authors | |
| Publication Date | July 1, 2014 |
| Published in Issue | Year 2014 Volume: 2 Issue: 3 |
