Recurrent-fuzzy-neural-network-controlled linear induction motor servo drive using genetic algorithms

IEEE Transactions on Industrial Electronics

Volumn 54, Issue 3, 2007, Pages 1449-1461

  Lin, Faa Jeng ^a   Huang, Po Kai ^a   Chou, Wen Der ^b  

^a NATIONAL DONG HWA UNIVERSITY   (Taiwan)

^b LAN YANG INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Backpropagation algorithm; Genetic algorithms (GAs); Linear induction motor (LIM); Recurrent fuzzy neural network (RFNN)

Indexed keywords

EXTERNAL LOAD DISTURBANCE; GLOBAL CONVERGENCE; LEARNING RATES; LINEAR INDUCTION MOTORS; ONLINE TRAINING; PERFORMANCE DYNAMICS; PERIODIC MOTION; PLANT PARAMETERS; REAL-TIME GENETIC ALGORITHMS; RECURRENT FUZZY NEURAL NETWORK; SERVO DRIVES; TRACKING CONTROLLER; TRACKING ERRORS;

BACKPROPAGATION ALGORITHMS; CONTROLLERS; FUZZY CONTROL; FUZZY NEURAL NETWORKS; GENETIC ALGORITHMS;

INDUCTION MOTORS;

EID: 40449104444     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2007.892256     Document Type: Article

References (26)

1. F. J. Lin, R. J.Wai, and H. P. Chen, "A PM synchronous servo motor drive with an on-line trained fuzzy neural network controller," IEEE Trans. Energy Convers., vol.13, no.4, pp. 319-325, Dec. 1998.
2. F. J. Lin and P. H. Shen, "Robust fuzzy-neural-network sliding-mode control for two-axis motion control system," IEEE Trans. Ind. Electron., vol.53, no.4, pp. 1209-1225, Jun. 2006.
3. F. J. Lin and P. H. Shen, "Adaptive fuzzy-neural-network control for a DSP-based permanent magnet linear synchronous motor servo drive," IEEE Trans. Fuzzy Syst., vol.14, no.14, pp. 481-495, Aug. 2006.
4. L. X. Wang, A Course in Fuzzy Systems and Control. Englewood Cliffs, NJ: Prentice-Hall, 1997.
5. Y. M. Park, M. S. Choi, and K. Y. Lee, "An optimal tracking neurocontroller for nonlinear dynamic systems," IEEE Trans. Neural Netw., vol.7, no.5, pp. 1099-1110, Sep. 1996.
6. F. Abdollahi, H. A. Talebi, and R. V. Patel, "A stable neural network-based observer with application to flexible-joint manipulators," IEEE Trans. Neural Netw., vol.17, no.1, pp. 118-129, Jan. 2006.
7. F. J. Lin and C. H. Lin, "On-line gain-tuning IP controller using RFNN," IEEE Trans. Aerosp. Electron. Syst., vol.37, no.2, pp. 655-670, Apr. 2001.
8. F. J. Lin, P. H. Shen, and R. F. Fung, "RFNN control for PMLSM drive via backstepping design technique," IEEE Trans. Aerosp. Electron. Syst., vol.41, no.2, pp. 620-644, Apr. 2005.
9. D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning. New York: Addison-Wesley, 1989.
10. K. F. Man, K. S. Tang, and S. Kwong, "Genetic algorithms: Concepts and applications," IEEE Trans. Ind. Electron., vol.43, no.5, pp. 519-534, Oct. 1996.
11. W. A. Farag, V. H. Quintana, and G. Lambert-Torres, "A genetic-based neuro-fuzzy approach for modeling and control of dynamical systems," IEEE Trans. Neural Netw., vol.9, no.5, pp. 756-767, Sep. 1998.
12. W. S.Oh, Y. T. Kim, C. S. Kim, T. S. Kwon, and H. J. Kim, "Speed control of induction motor using genetic algorithm based fuzzy controller," in Proc. IEEE IECON, 1999, pp. 625-629. (Pubitemid 32132108)
13. Y. P. Kuo and T. H. S. Li, "GA-based fuzzy PI/PD controller for automotive active suspension system," IEEE Trans. Ind. Electron., vol.46, no.6, pp. 1051-1056, Dec. 1999.
14. A. Visioli, "Tuning of PID controllers with fuzzy logic," Proc. Inst. Electr. Eng. - Control Theory Appl., vol.148, no.1, pp. 1-8, Jan. 2001.
15. I. Takahashi and Y. Ide, "Decoupling control of thrust and attractive force of a LIM using a space vector control inverter," IEEE Trans. Ind. Appl., vol.29, no.1, pp. 161-167, Jan./Feb. 1993.
16. I. Boldea and S. A. Nasar, Linear Electric Actuators and Generators. Cambridge, U.K.: Cambridge Univ. Press, 1997.
17. F. J. Lin and R. J. Wai, "Hybrid control using recurrent-fuzzy- neuralnetwork for linear induction motor servo drive," IEEE Trans. Fuzzy Syst., vol.9, no.1, pp. 102-115, Feb. 2001.
18. S. Sankaranarayanan and F. Khorrami, "Adaptive variable structure control and applications to friction compensation," in Proc. IEEE CDC, 1997, pp. 4159-4164.
19. A. P. Maulana, H. Ohmori, and A. Sano, "Friction compensation strategy via smooth adaptive dynamic surface control," in Proc. IEEE CCA, 1999, pp. 1090-1095. (Pubitemid 30515600)
20. D. W. Novotny and T. A. Lipo, Vector Control and Dynamics of AC Drives. Oxford, U.K.: Clarendon, 1996.
21. W. Leonhard, Control of Electrical Drives. Berlin, Germany: Springer-Verlag, 1996.
22. F. J. Lin, R. J. Wai, W. D. Chou, and S. P. Hsu, "Adaptive backstepping control using recurrent neural network for linear induction motor drive," IEEE Trans. Ind. Electron., vol.49, no.1, pp. 134-146, Feb. 2002.
23. F. J. Lin, H. M. Su, and H. P. Chen, "Induction motor servo drive with adaptive rotor time-constant estimation," IEEE Trans. Aerosp. Electron. Syst., vol.34, no.1, pp. 224-234, Jan. 1998.
24. C. A. Garrett, J. Huang, M. N. Goltz, and G. B. Lamont, "Parallel real-valued genetic algorithms for bioremediation optimization of TCE-contaminated groundwater," in Proc. Congr. Evol. Comput., 1999, pp. 2183-2189.
25. L. H. Lee and Y. Fan, "Developing a self-learning adaptive genetic algorithm," in Proc. 3rd World Congr. Intell. Control and Autom., 2000, pp. 619-624.
26. M. Mitchell, An Introduction to Genetic Algorithms. London, U.K.: MIT Press, 1992.