Fuzzy adaptive internal model control schemes for PMSM speed-regulation system

IEEE Transactions on Industrial Informatics

Volumn 8, Issue 4, 2012, Pages 767-779

  Li, Shihua ^a   Gu, Hao ^b  

^a SOUTHEAST UNIVERSITY   (China)

^b HUAWEI TECHNOLOGIES CO LTD   (China)

Author keywords

Adaptive control; control saturation; fuzzy inferencer; inertial identification; internal model control; PMSM

Indexed keywords

ADAPTIVE CONTROL; CONTROL SATURATION; FUZZY INFERENCER; INTERNAL MODEL CONTROL; PMSM;

MATLAB; PERMANENT MAGNETS; SPEED; SYNCHRONOUS MOTORS;

MODEL PREDICTIVE CONTROL;

EID: 84867948193     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2012.2205581     Document Type: Article

References (36)

1. Y. X. Su, C. H. Zheng, and B. Y. Duan, "Automatic disturbances rejection controller for precise motion control of permanent-magnet synchronous motors," IEEE Trans. Ind. Electron., vol. 52, no. 3, pp. 814-823, Mar. 2005. (Pubitemid 40871118)
2. K. H. Kim and M.-J. Youn, "A nonlinear speed control for a PM synchronous motor using a simple disturbance estimation technique," IEEE Trans. Ind. Electron., vol. 49, no. 3, pp. 524-535, Mar. 2002. (Pubitemid 34741893)
3. I. C. Baik, K.-H. Kim, and M. J. Youn, "Robust nonlinear speed control of PM synchronous motor using boundary layer integral sliding mode control technique," IEEE Trans. Control Syst. Technol., vol. 8, no. 1, pp. 47-54, Jan. 2000. (Pubitemid 30565133)
4. S. H. Li and Z. G. Liu, "Adaptive speed control for permanent magnet synchronous motor systemwith variations of load inertia," IEEE Trans. Ind. Electron., vol. 56, no. 8, pp. 3050-3059, Aug. 2009.
5. Y. A.-R. I. Mohamed, "Design and implementation of a robust current control scheme for a PMSM vector drive with a simple adaptive disturbance observer," IEEE Trans. Ind. Electron., vol. 54, no. 4, pp. 1981-1988, Apr. 2007. (Pubitemid 47271271)
6. S. M. Yang and Y. J. Deng, "Observer-based inertia identification for autotuning servo motor drivers," in Proc. 40th IAS Annu. Meeting, Hong Kong, 2005, pp. 968-972.
7. H. H. Choi, N. T.-T. Vu, and J.-W. Jung, "Digital implementation of an adaptive speed regulator for a PMSM," IEEE Trans. Power Electron., vol. 26, no. 1, pp. 3-8, Feb. 2011.
8. F. F. M. El-Sousy, "Hybrid H-infinity-based wavelet-neural-network tracking control for permanent-magnet synchronous motor servo drives," IEEE Trans. Ind. Electron., vol. 57, no. 9, pp. 3157-3166, Sep. 2010.
9. T. L. Hsien, Y. Y. Sun, and M. C. Tsai, " control for a sensorless permanent-magnet synchronous drive," IEE Proc.-Electr. Power Appl., vol. 144, no. 3, pp. 173-181, 1997.
10. Y. Luo, Y. Q. Chen, H.-S. Ahnc, and Y. G. Pi, "Fractional order robust control for cogging effect compensation in PMSM position servo systems: Stability analysis and experiments," Contr. Eng. Practice, vol. 18, no. 9, pp. 1022-1036, 2010.
11. K. H. Kim, I. C. Baik, G.-W. Moon, and M.-J. Youn, "A current control for a permanent magnet synchronous motor with a simple disturbance estimation scheme," IEEE Trans. Control Syst. Technol., vol. 7, no. 5, pp. 630-633, May 1999.
12. S. H. Li, H. X. Liu, and S. H. Ding, "Aspeed control for a PMSMusing finite-time feedback control and disturbance compensation," Tran. Inst. Measur. Contr., vol. 32, no. 2, pp. 170-187, 2010.
13. P. Cortes, M. P. Kazmierkowski, R. M. Kennel, D. E. Quevedo, and J. Rodriguez, "Predictive control in power electronics and drives," IEEE Trans. Ind. Electron., vol. 55, no. 12, pp. 4312-4324, Dec. 2008.
14. H. X. Liu and S. H. Li, "Speed control for PMSM servo system using predictive functional control and extended state observer," IEEE Trans. Ind. Electron., vol. 59, no. 2, pp. 1171-1183, Feb. 2012.
15. Y. S. Kung and M. H. Tsai, "FPGA-based speed control IC for PMSM drive with adaptive fuzzy control," IEEE Trans. Power Electron., vol. 22, no. 6, pp. 2476-2486, Dec. 2007.
16. F. J. Lin and C. H. Lin, "A permanentmagnet synchronous motor servo drives using self-constructing fuzzy neural network controller," IEEE Trans. Energy Convers., vol. 19, no. 1, pp. 66-72, Jan. 2003.
17. C. E. Garcia and M. Morari, "Intenal model control-1: A unifying review and some new results," Ind. Eng. Chem. Process Des. Develop., vol. 21, no. 2, pp. 308-323, 1982. (Pubitemid 12507581)
18. C. E. Garcia and M. Morari, "Intenal model control-2: Design procedure for multivariable systems," Ind. Eng. Chem. Process Des. Develop., vol. 24, no. 3, pp. 427-484, 1985.
19. M. Morari and E. Zafirious, Robust Process Control. Englewood Cliffs, NJ: Prentice-Hall, 1989.
20. I. Rivals and Z. L. Personna, "Nonlinear internal model control using neural networks: Application to process with delay and design issues," IEEE Trans. Neural Netw., vol. 11, no. 1, pp. 80-90, Feb. 2000. (Pubitemid 32132890)
21. W. F. Xie and A. B. Rad, "Fuzzy adaptive internal model control," IEEE Trans. Ind. Electron., vol. 47, no. 1, pp. 193-202, Jan. 2000. (Pubitemid 32132946)
22. Q. Zhang and E. A. Zafiriou, "A local form of small gain theorem and analysis of feedback Volterra systems," IEEE Trans. Autom. Control, vol. 44, no. 3, pp. 635-640, Mar. 1994.
23. L. Harnefors and H. P. Nee, "Model-based current control of AC machines using the internal model control method," IEEE Trans. Ind. Appl., vol. 34, no. 1, pp. 133-141, Jan. 1998. (Pubitemid 128739705)
24. X. Shao, J. Zhang, Z. Zhao, and X. Wen, "Adaptive internalmodel control of permanent magnet synchorous motor driver system," in Proc. 8th Int. Conf. Electr. Mach. Syst., Nanjing, China, 2005, vol. 3, pp. 1843-1846.
25. I. G. Horn, J. R. Arulandu, and R. D. Braatz, "Improved filter design in internal model control," Ind. Eng. Chem. Res., vol. 35, no. 10, pp. 3437-3441, 1996. (Pubitemid 126474871)
26. T. Liu and F. Gao, "New insight into internalmodel control filter design for load disturbance rejection," Contr. Theory Appl., vol. 4, no. 3, pp. 448-460, 2010.
27. Q. Hu and G. P. Rangaiah, "Anti-windup schemes for uncertain nonlinear system," IEE Proc.-Contr. Theory Appl., vol. 147, pp. 321-329, 2000.
28. A. Zheng, M. V. Kothare, and M. Morari, "Anti-windup design for internal model control," Int. J. Contr., vol. 60, no. 5, pp. 1015-1024, 1994.
29. G. Stephanopoulos and H. P. Huang, "The 2-port control system," Chem. Eng. Sci., vol. 41, no. 6, pp. 1611-1630, 1986.
30. A. Datta and J. Ochoa, "A daptive internal model control design and stablity analysis," Automatic, vol. 32, no. 2, pp. 261-266, 1996. (Pubitemid 126349323)
31. P. C. Krause, Analysis of ElectricMachinery, 2nd ed. New York:Mc-Graw-Hill, 1995.
32. C. Eric, "Internal model predictive control," Automatica, vol. 31, no. 10, pp. 1471-1482, 1995.
33. I. Awaya, Y. Kato, I. Miyake, and M. Ito, "New motion control with inertia identification function using disturbance observer," in Proc. Power Electron. Motion Control Conf, San Diego, CA, 1992, pp. 77-81.
34. J. W. Choi, S. C. Lee, and H. G. Kim, "Inertia identification algorithm for high-performance speed control of electric motors," Proc. Inst. Elect. Eng.-Electr. Power Appl., vol. 153, no. 3, pp. 379-386, May 2006.
35. B. Kosko, NN and Fuzzy System: A Dynamical Systems Approach to Machine Intelligence. Englewood Cliffs, NJ: Prentice-Hall, 1992.
36. L. Zadeh, "Outline of a new approach to the analysis of complex systems and decision processes," IEEE Trans. Syst. Man, Cybern, vol. 3, no. 1, pp. 28-44, Jan. 1973.