Hybrid controller with recurrent neural network for magnetic levitation system

IEEE Transactions on Magnetics

Volumn 41, Issue 7, 2005, Pages 2260-2269

  Lin, Faa Jeng ^a   Shieh, Hsin Jang ^a   Teng, Li Tao ^a   Shieh, Po Huang ^a  

^a NATIONAL DONG HWA UNIVERSITY   (Taiwan)

Author keywords

Computed force controller; Hybrid controller; Magnetic levitation system; Recurrent neural network

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; CONTROL EQUIPMENT; CONTROL SYSTEMS; ERROR ANALYSIS; ERROR DETECTION; LINEARIZATION; RECURRENT NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS);

COMPUTED FORCE CONTROLLERS; HYBRID CONTROLLERS; MAGNETIC LEVITATION SYSTEMS; TRACKING CONTROLLERS;

MAGNETIC LEVITATION;

EID: 23844434268     PISSN: 00189464     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMAG.2005.848320     Document Type: Article

References (22)

1. M. Ono, S. Koga, and H. Ohtsuki, "Japan's superconducting maglev train," lEEE Instnm. Meas. Mag., vol. 5, no. 1, pp. 9-15, Mar. 2002.
2. M. Y. Chen, M. J. Wang, and L. C. Fu, "A novel dual-axis repulsive maglev guiding System with permanent magnet: Modeling and controller design," IEEE Trans. Mechatronics, vol. 8, no. 1, pp. 77-86, Mar. 2003.
3. M. Y. Chen, T. B. Lin, M. C. Shiu, and L. C. Fu, "Novel design of a 6-DOF planar maglev positioning system," in Proc. IEEE/ASME Int. Conf. Advanced Intelligent Mechatronics, vol. 1, 2003, pp. 20-24.
4. D. M. Rote and Y. Cai, "Review of dynamic stability of repulsive-force maglev suspension systems," IEEE Trans. Magn., vol. 38, no. 2, pp. 1383-1390, Mar. 2002.
5. A. E. Hajjaji and M. Ouladsine, "Modeling and nonlinear control of magnetic levitation systems," IEEE Trans. Ind. Electron., vol. 48, no. 4, pp. 831-838, Aug. 2001.
6. D. L. Trumper, S. M. Oison, and P. K. Subrahmanyan, "Linearizing control of magnetic suspension systems," IEEE Trans. Contr. Syst. Technol., vol. 5, no. 4, pp. 427-438, Jul. 1997.
7. W. G. Hurley and W. H. Wolfle, "Electromagnetic design of a magnetic suspension system," IEEE Trans. Educ., vol. 40, no. 2, pp. 124-130, May 1997.
8. A. Charara, J. D. Mira, and B. Caron, "Nonlinear control of a magnetic levitation system without premagnetization," IEEE Trans. Contr. Syst. Technol., vol. 4, no. 5, pp. 513-523, Sep. 1996.
9. J. Joo and J. H. Seo, "Design and analysis of the feedback linearizing control for an electromagnetic suspension system," IEEE Trans. Contr. Syst. Technol., vol. 5, no. 1, pp. 135-144, Jan. 1997.
10. A. U. Levin and K. S. Narendra, "Control of nonlinear dynamical systems using neural networks: Observability, identification, and control, " IEEE Trans. Neural Netw., vol. 7, no. 1, pp. 30-42, Jan. 1996.
11. T. W. S. Chow and Y. Fang, "A recurrent neural-network-based real-time learning control strategy applying to nonlinear systems with unknown dynamics," IEEE Trans. Ind. Electron., vol. 45, no. 1, pp. 151-161, Feb. 1998.
12. C. C. Ku and K. Y Lee, "Diagonal recurrent neural networks for dynamic systems control," IEEE Trans. Neural Netw., vol. 6, no. 1, pp. 144-156,Jan. 1995.
13. S. C. Sivakuma, W. Robertson, and W. J. Philips, "Online stabilization of block-diagonal recurrent neural networks," IEEE Trans. Neural Netw., vol. 7, no. 1, pp. 167-175, Jan. 1999.
14. Y. Fang, T. W. S. Chow, and X. D. Li, "Use of a recurrent neural network in discrete sliding-mode control," in IEE Proc. Control Theory Appl., vol. 146, Jan. 1999, pp. 84-90.
15. F. C. Moon, Superconducting Levitation; Applications to Bearings and Magnetic Transportation. New York: Wiley, 1994.
16. J. D. Kraus, Electromagnetics. New York: McGraw-Hill, 1992, p. 288.
17. E. Purcell, Electricity & Magnetism. New York: McGraw-Hill, 1965.
18. F. J. Lin, Y. S. Lin, and S. L. Chiu, "Slider-crank mechanism control using adaptive computed torque technique," in IEE Proc. Control Theory Appl., vol. 145, 1998, pp. 364-376.
19. J. J. E. Slotine and W. Li, Applied Nonlinear Control. Englewood Cliffs, NJ: Prentice-Hall, 1991.
20. K. J. Astrom and B. Wittenmark, Adaptive Control. New York: Addison-Wesley, 1995.
21. F. J. Lin, W. J. Hwang, and R. J. Wai, "A supervisory fuzzy neural network control system for tracking periodic inputs," IEEE Trans. Fuzzy Syst., vol. 7, no. 1, pp. 41-52, Feb. 1999.
22. L. X. Wang, A Course in Fuzzy Systems and Control. Englewood Cliffs, NJ: Prentice-Hall, 1997.