An Auto-Tuning PI Controller for the Speed Control of a Permanent Magnet Synchronous Motor Drive

  • Wuning Ma
  • Cheng Xu
  • Fan Yang
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 124)

Abstract

Conventional PI controller is usually found to provide poor performances for nonlinear systems. In this paper, an auto-tuning PI scheme is presented for the speed control of a permanent magnet synchronous motor drive. The aim of this study is to obtain a controller that provides a fast and smooth dynamic response under both moment of inertia change and load disturbance. To improve the transient response, the proportional and integral gains of the proposed controller are continuously modified based on the current process trend. To illustrate the performance of the proposed controller, the simulation is presented separately for the auto-tuning PI controller (ATPIC) and classical PI controller. The results are compared with each other and discussed in detail.

Keywords

Permanent magnet synchronous motor PI controller Auto-tuning Load disturbance 

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References

  1. 1.
    Zhao, S., Tan, K.-K.: Adaptive feed forward compensation of force ripples in linear motors. Control Eng. Pract., 1081–1092 (2005)Google Scholar
  2. 2.
    Wang, M., Chen, B., Dai, S.: Direct adaptive fuzzy tracking control for a class of perturbed strict-feedback nonlinear systems. Fuzzy Sets and Systems, 2655–2670 (2007)Google Scholar
  3. 3.
    Zhou, S.S., Feng, G., Feng, C.B.: Robust control for a class of uncertain nonlinear systems: adaptive fuzzy approach based on backstepping. Fuzzy Sets and Systems, 1–20 (2005)Google Scholar
  4. 4.
    Tong, S.C., Li, H.-X.: Fuzzy adaptive sliding model control for MIMO nonlinear systems. IEEE Trans. Fuzzy Systems, 354–360 (2003)Google Scholar
  5. 5.
    Demirtas, M.: DSP-based sliding mode speed control of induction motor using neuro-genetic structure. Expert Systems with Applications 36, 5533–5540 (2009)CrossRefGoogle Scholar
  6. 6.
    Yang, Y.S., Zhou, C.J.: Adaptive fuzzy H ∞  stabilization for strict-feedback canonical nonlinear systems via backstepping and small-gain approac. IEEE Trans. Fuzzy Systems, 104–114 (2005)Google Scholar
  7. 7.
    Yang, X., Cai, X., Yao, J.: Design of servo controller of permanent magnet synchronization motor based on fuzzy PI control. Journal of South China University of Technology, 15–18 (2004)Google Scholar
  8. 8.
    Jan, R.-M., Tseng, C.-S., Liu, R.-J.: Robust PID control design for permanent magnet synchronous motor: A genetic approach. Electric Power Systems Research, 1161–1168 (2008)Google Scholar
  9. 9.
    Chen, Y., Yang, B., Shen, Y., et al.: Speed servo system of IPMSM based on fuzzy-PI controller with voltage booster. Journal of Tianjin University, 932–937 (2006)Google Scholar
  10. 10.
    Mudi, R.K., Dey, C., Lee, T.-T.: An improved auto-tuning scheme for PI controllers. ISA Transactions, 45–52 (2008)Google Scholar
  11. 11.
    Dey, C., Mudi, R.K.: An improved auto-tuning scheme for PID controller. ISA Transactions, 396–409 (2009)Google Scholar
  12. 12.
    Barmish, B.R.: New tools for robustness in linear systems. Macmillan, New York (1994)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Wuning Ma
    • 1
  • Cheng Xu
    • 1
  • Fan Yang
    • 1
  1. 1.School of Mechanical EngineeringNanjing University of science and technologyJiangsuChina

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