Recurrent functional-link-based fuzzy neural network controller with improved particle swarm optimization for a linear synchronous motor drive

IEEE Transactions on Magnetics

Volumn 45, Issue 8, 2009, Pages 3151-3165

  Lin, Faa Jeng ^a   Chen, Syuan Yi ^a   Teng, Li Tao ^b   Chu, Hen ^c  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^b INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE   (Taiwan)

^c NATIONAL DONG HWA UNIVERSITY   (Taiwan)

Author keywords

Functional link neural network (FLNN); Particle swarm optimization (PSO); Permanent magnet linear synchronous motor (PMLSM)

Indexed keywords

CONTROL PERFORMANCE; DRIVE SYSTEMS; FNN CONTROLLERS; FUNCTIONAL LINK NEURAL NETWORK (FLNN); FUNCTIONAL LINKS; FUZZY NEURAL NETWORK CONTROLLER; IMPROVED PARTICLE SWARM OPTIMIZATION; LEARNING RATES; LINEAR SYNCHRONOUS MOTORS; ONLINE LEARNING ALGORITHMS; PERIODIC REFERENCE; PERMANENT MAGNET LINEAR SYNCHRONOUS MOTOR; PERMANENT-MAGNET LINEAR SYNCHRONOUS MOTOR (PMLSM); SERVO DRIVES; STANDARD DEVIATION;

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; CONTROLLERS; ELECTRIC DRIVES; ELECTRIC MOTORS; FUZZY NEURAL NETWORKS; INTERNET; LEARNING ALGORITHMS; PERMANENT MAGNETS; PRESSURE MEASUREMENT; REACTIVE POWER; SYNCHRONOUS MOTORS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 68549106126     PISSN: 00189464     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMAG.2009.2017530     Document Type: Article

References (40)

1. I.Boldea and S. A.Nasar, Linear Electric Actuators and Generators. London, U.K.: Cambridge University Press, 1997.
2. C. J. Kempf and S. Kobayashi, "Disturbance observer and feedforward design for a high-speed direct-drive positioning table," IEEE Trans. Control Syst. Technol., vol. 7, no. 5, pp. 513-526, Sep. 1999.
3. W. B. Jang, S. M. Jang, and D. J. You, "Dynamic drive analysis through base speed determination for optimum control boundary in PMLSM with self-load," IEEE Trans. Magn., vol. 41, no. 10, pp. 4027-4029, Oct. 2005.
4. W. T. Su and C. M. Liaw, "Adaptive positioning control for a LPMSM drive based on adapted inverse model and robust disturbance observer," IEEE Trans. Power Electron., vol. 21, no. 2, pp. 505-517, Mar. 2006.
5. A. P. Maulana, H. Ohmori, and A. Sano, "Friction compensation strategy via smooth adaptive dynamic surface control," in Proc. IEEE Control Applications Conf., Aug. 1999, pp. 1090-1095.
6. Y. Tan, J. Chang, and H. Tan, "Adaptive backstepping control and friction compensation for AC servo with inertia and load uncertainties," IEEE Trans. Ind. Electron., vol. 50, no. 5, pp. 944-952, Oct. 2003.
7. C. M. Liaw, R. Y. Shue, H. C. Chen, and S. C. Chen, "Development of a linear brushless DC motor drive with robust position control," IEE Proc., Electr. Power Appl., vol. 148, no. 2, pp. 111-118, 2001.
8. N. C. Shieh and P. C. Tung, "Robust output tracking control of a linear dc brushless motor for transportation in manufacturing system," IEE Proc., Electr. Power Appl., vol. 148, no. 2, pp. 119-124, 2001.
9. R. B. Arreola, "Output feedback nonlinear control for a linear motor in suspension mode," Automatica, vol. 40, pp. 2153-2160, 2004.
10. M. T. Yan and Y. J. Shiu, "Theory and application of a combined feedback-feedforward control and disturbance observer in linear motor drive wire-EDM machines," Int. J. Mach. Tools Manuf., vol. 48, pp. 388-401, 2008.
11. L. Xu and B. Yao, "Adaptive robust precision motion control of linear motors with negligible electrical dynamics: Theory and experiments," IEEE/ASME Trans. Mechatronics, vol. 6, no. 4, pp. 444-452, 2001.
12. T. H. Liu, Y. C. Lee, and Y. H. Chang, "Adaptive controller design for a linear motor control system," IEEE Trans. Aerosp. Electron. Syst., vol. 40, no. 2, pp. 601-613, 2004.
13. G. Qingding, H. Qingtao, and Q. Yanli, "Neural network real-time IP position controller on-line design for permanent magnetic linear synchronous motor: Theory and experiments," in Proc. 7th Int. Adv. Motion Control, 2002, pp. 386-389.
14. F. J. Lin, L. T. Teng, and H. Chu, "Modified Elman neural network controller with improved particle swarm optimization for linear synchronous motor drive," IET Electr. Power Appl, vol. 2, no. 3, pp. 201-214, 2008.
15. Y. S. Kung, "Design and implementation of a high-performance PMLSM drives using DSP chip," IEEE Trans. Ind. Electron., vol. 55, no. 3, pp. 1341-1351, 2008.
16. F. J. Lin, C. H. Lin, and C. M. Hong, "Robust control of linear synchronous motor servodrive using disturbance observer and recurrent neural network compensator," IEE Proc. Electr. Power Appl., vol. 147, no. 4, pp. 263-272, July 2000.
17. F. J. Lin, P. H. Shen, P. H. Chou, and S. L. Yang, "TSK-type recurrent fuzzy network for DSP-based permanent-magnet linear synchronous motor servo drive," IEE Proc. Electr. Power Appl., vol. 153, no. 6, pp. 921-931, Nov. 2006.
18. P. G. V. Axelberg, I. Y. H. Gu, and M. H. J. Bollen, "Support vector machine for classification of voltage disturbances," IEEE Trans. Power Del., vol. 22, no. 3, pp. 1297-1303, 2007.
19. I. Guler and E. D. Ubeyli, "Multiclass support vector machines for EEG-signals classification," IEEE Trans. Inf. Technol. Biomed., vol. 11, no. 2, pp. 117-126, 2007.
20. A. Kumar and D. Zhang, "Personal recognition using hand shape and texture," IEEE Trans. Image Process., vol. 15, no. 8, pp. 2454-2461, 2006.
21. E. Romero and D. Toppo, "Comparing support vector machines and feedforward neural networks with similar hidden-layer weights," IEEE Trans. Neural Netw., vol. 18, no. 3, pp. 959-963, 2007.
22. M. C. Sua, C. H. Choub, E. Laic, and J. Lee, "A new approach to fuzzy classifier systems and its application in self-generating neuro-fuzzy systems," Neurocomputing, vol. 69, pp. 586-614, 2006.
23. M. G. Bello, "Enhanced training algorithms, and integrated training/ architecture selection for multilayer perceptron networks," IEEE Trans. Neural Netw., vol. 3, pp. 864-875, 1992.
24. S. J. Lee and C. S. Ouyang, "A neuro-fuzzy system modeling with self-constructing rule generation and hybrid SVD-based learning," IEEE Trans. Fuzzy Syst., vol. 11, no. 3, pp. 341-353, 2003.
25. O. Omidvar and D. L. Elliott, Neural Systems for Control. New York: Academic, 1997.
26. D. Makaveev, L. Dupre, and J. Melkebeek, "Neural-network-based approach to dynamic hysteresis for circular and elliptical magnetization in electrical steel sheet," IEEE Trans. Magn., vol. 38, no. 5, pp. 3189-3191, Sep. 2002.
27. P. Campolucci, A. Uncini, F. Pizza, and B. D. Rao, "On-line learning algorithms for locally recurrent neural networks," IEEE Trans. Neural Netw., vol. 10, no. 2, pp. 253-271, Mar. 1999.
28. C. H. Lin, W. D. Chou, and F. J. Lin, "Adaptive hybrid control using a recurrent neural network for a linear synchronous motor servo-drive system," IEE Proc. Control Theory Appl., vol. 148, no. 2, pp. 156-168, Mar. 2001.
29. F. J. Lin, H. J. Shieh, P. K. Huang, and L. T. Teng, "Adaptive control with hysteresis estimation and compensation using RFNN for piezoactuator," IEEE Trans. Ultrason., Ferroelectr., Freq. Control, vol. 53, no. 9, pp. 1649-1661, Sept. 2006.
30. J. C. Patra and R. N. Pal, "A functional link artificial neural network for adaptive channel equalization," Signal Process., vol. 43, pp. 181-195, May 1995.
31. J. C. Patra and A. C. Kot, "Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 32, no. 4, pp. 505-511, Aug. 2002.
32. K. A. Toh and W. Y. Yau, "Fingerprint and speaker verification decisions fusion using a functional link network," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 35, no. 3, pp. 357-370, Aug. 2005.
33. C. H. Chen, C. T. Lin, and C. J. Lin, "A functional-link-based fuzzy neural network for temperature control," in Proc. IEEE Foundations of Computational Intelligence Conf., Apr. 2007, pp. 53-58.
34. J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proc. IEEE Neural Networks Conf., Nov. 1995, pp. 1942-1948.
35. C. Maurice, Particle Swarm Optimization. London, U.K.: ISTE, 2006.
36. R. Jacob and R. S. Yahya, "Particle swarm optimization in electromagnetics," IEEE Trans. Antennas Propag., vol. 52, no. 2, pp. 397-407, Feb. 2004.
37. Z. L. Gaing, "A particle swarm optimization approach for optimum design of PID controller in AVR system," IEEE Trans. Energy Convers., vol. 19, no. 2, pp. 384-391, June 2004.
38. S. L. Ho, S. Yang, G. Ni, and H. C. Wong, "A particle swarm optimization method with enhanced global search ability for design optimizations of electromagnetic devices," IEEE Trans. Magn., vol. 42, no. 4, pp. 1107-1110, Apr. 2006.
39. A. I. Selvakumar and K. Thanushkodi, "A new particle swarm optimization solution to nonconvex economic dispatch problems," IEEE Trans. Power Syst., vol. 22, no. 1, pp. 42-51, Feb. 2007.
40. G. Ferretti, G. Magnani, and P. Rocco, "Single and multistate integral friction models," IEEE Trans. Autom. Control, vol. 49, no. 12, pp. 2292-2297, Dec. 2004.