FUZZY LOGIC BASED POSITION CONTROL OF A PMSM SERVO DRIVE

M. Nasir Uddin, T.S. Radwan, and M.A. Rahman

References

  1. [1] M.A. Rahman, Permanent magnet synchronous motors—Areview of the state of design art, Proc. Int. Conf. on Electric Machines, Athens, 1980, 312–319.
  2. [2] D. Kim & J. Lee, Full digital joint motion controller for industrial robot and CNC machine tool, IEEE/IAS AnnualMeeting Conf. Record, 1994, 1813–1818.
  3. [3] M.A. Rahman & Ping Zhou, Field circuit analysis of brushless permanent magnet synchronous motors, IEEE Transactions on Industrial Electronics, 43 (2), 1996, 256–267. doi:10.1109/41.491349
  4. [4] M.N. Uddin, T.S. Radwan, & M.A. Rahman, Performances of fuzzy logic based indirect vector control for induction motor drive, IEEE Transactions on Industry Applications, 38 (5), 2002, 1219–1225. doi:10.1109/TIA.2002.802990
  5. [5] A. Rubaai, D. Rickattes, & M.D. Kankam, Development and implementation of an adaptive fuzzy-neural network controller for brushless drives, IEEE Transactions on Industry Applications, 38 (2), 2002, 441–447. doi:10.1109/28.993165
  6. [6] F.-J. Lin, Fuzzy adaptive model-following position control for ultrasonic motor, IEEE Transactions on Power Electronics, 12 (2), 1997, 261–268. doi:10.1109/63.558737
  7. [7] N. Yubazaki, M. Otani, T. Ashida, & E. Kitamura, Fuzzymotion drive method of induction motor using position sensor, Proc. IEEE IECON, 1993, 170–175.
  8. [8] J.S. Ko, J.G. Hwang, & M.J. Youn, Robust position control of BLDD motors using integral-proportional plus fuzzy logic controller, Proc. IEEE IECON, 1993, 213–218.
  9. [9] R.J. Wai, Development of intelligent position control system using optimal design technique, Power Electronics Specialists Conf., 2, 2001, 760–765.
  10. [10] R.J. Wai & F.J. Lin, Fuzzy neural network sliding mode position controller for induction servo motor drive, Proceedings of IEE Electrical Power Applications, 146 (3), 1999, 297–308. doi:10.1049/ip-epa:19990290
  11. [11] F.J. Lin & S.L. Chiu, Adaptive fuzzy sliding-mode control for PM synchronous servo motor drives, Proceedings of IEE Control Theory and Applications, 145 (1), 1998, 63–72. doi:10.1049/ip-cta:19981683
  12. [12] F.J. Lin & R.J. Wai, Hybrid controller using a neural network for a PM synchronous servo-motor drive, IEE Proceedings Electric Power Applications, 145 (3), 1998, 223–230. doi:10.1049/ip-epa:19981726
  13. [13] E. Cerruto, A.E. Consoli, A. Raciti, & A. Testa, A simple and robust adaptive controller for PM motor robotic drives, Power Electronics Specialists Conf. Record, 2, 1992, 973–980. doi:10.1109/PESC.1992.254778
  14. [14] T. Senjyu, S. Ashimine, & K. Uezato, Robust position control of DC servomotors using adaptive gain law, Power Electronics Specialists Conf. Record, 1996, 2, 1248–1253.
  15. [15] S. Morimoto, K. Hatanaka, Y. Tong, Y. Takeda, & T. Hirasa, Servo drive system and control characteristics of salient pole permanent magnet synchronous motor, IEEE Transaction on Industry Applications, 29(2), 1993, 338–343. doi:10.1109/28.216541
  16. [16] F. Blaschke, The principle of field orientation as applied to the new transvector closed-loop control system for rotating field machines, Siemens Review, 1972, 217–220.
  17. [17] M.N. Uddin, T.S. Radwan, G.H. George, & M.A. Rahman,Performance of current-controllers for VSI-fed IPMSM drive, IEEE Transaction on Industry Applications, 36 (6), 2000, 1531–1538. doi:10.1109/28.887203
  18. [18] H.T. Nguyen, M. Sugeno, R. Tong, & R.R. Yager, Theoretical Aspects of Fuzzy Control (John Wiley & Sons, Inc., 1995).
  19. [19] dSPACE, Digital Signal Processing and Control Engineering, Manual Guide (Gmbh, Paderborn, Germany, 1997).
  20. [20] Matlab, Simulink User Guide, The Math Works Inc., 1997.

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