Design of PMSM Position Servo System Based on Fuzzy Adaptive PI Control

Abstract:

A fuzzy adaptive PI controller for permanent magnet synchronous motor (PMSM) position servo system is proposed in this paper. Based on the analysis of PMSM mathematical model, the design of position loop controller is introduced in detail. To verify the effectiveness and accuracy of the fuzzy PI adaptive controller, an experimental system is designed using TMS320F2812 floating-point digital signal processor (DSP) as controller CPU and DR20A as integrated power drive module. The experimental results show that the designed AC position servo system has strong robustness, better speed performance and higher position precision, which can meet the requirements of high performance servo system.

• Periodical: Advanced Materials Research (Volumes 706-708)
• Pages: 737-741
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.706-708.737
• Online since: June 2013
• Authors: Hong Mei Shi, Zu Jun Yu
• Keywords: Digital Signal Processor (DSP), Fuzzy Adaptive Control (FAC), PMSM, Servo System

References

[1] M. YARB. A hybrid-type variable-structure, instantaneous torque control with a robust adaptive torque observer for a high-performance direct-drive PMSM[J]. IEEE Transactions on Industrial Electronics, vol. 38(2007), pp.2491-2499.

DOI: 10.1109/tie.2007.900320

[2] S. H. Chang, P. Y. Chen, and Y. H. Ting. Robust current control-based sliding mode control with simple uncertainties estimation in permanent magnet synchronous motor drive systems[J]. IET Electric Power Applications, vol. 4(2010), pp.441-450.

DOI: 10.1049/iet-epa.2009.0146

[3] C. J. Xia, X. C. Wang, and S. H. Li. Improved integral sliding mode control methods for speed control of PMSM system[J]. International Journal of Innovative Computing Information and Control, vol. 7(2011), pp.1971-1982.

[4] H. H. Choi, V. Q. Leu, and Y. S. Choi, "Adaptive speed controller design for a permanent magnet synchronous motor," IET Electric Power Applications, vol. 5, no. 5, pp.457-464, 2011.

DOI: 10.1049/iet-epa.2010.0083

[5] A. N. Seghir, M. S. Boucherit. Adaptive speed control of permanent magnet synchronous motor[C]. Proceedings of 2004 International Conference on Electrical, Electronic and Engineering, Cairo, Egypt, September 2004, pp.909-912.

DOI: 10.1109/iceec.2004.1374633

[6] H. H. Choi, N .T. T Vu, and J. W. Jung. Digital implementation of an adaptive speed regulator for a PMSM[J]. IEEE Transactions on Power Electronics, vol. 26(2008), pp.3-8.

DOI: 10.1109/tpel.2010.2055890

[7] Z. W. Xu, J. P. Jiang, and Z. F. Luo. Permanent magnet synchronous motor position servo system controlled by fuzzy model algorithmic control[J]. Transactions of China Electrotechnical Society, vol. 18(2008), pp.99-102.

[8] J. W. Jung, Y. S. Choi, and V. Q. Leu. Fuzzy PI-type current controllers for permanent magnet synchronous motors[J]. IET Electric Power Applications, vol. 5(2011), pp.143-152.

DOI: 10.1049/iet-epa.2010.0036

[9] J. W. Jung, T. H. Kim, and H. H. Choi. Speed control of a permanent magnet synchronous motor with a torque observer: a fuzzy approach[J]. IET Control Theory and Applications, vol. 4(2010), pp.2971-2981.

DOI: 10.1049/iet-cta.2009.0469

[10] K. Khadija, M. Benyounes, and B. I. Khalil. A simple and robust speed tracking control of PMSM[J] Przeglad Elektrotechiczny, vol. 87(2011), pp.202-207.

[11] J. L. F Daya and V. Subbiah. Robust control of sensorless permanent magnet synchronous motor drive using fuzzy logic[C]. Proceedings of the 2nd IEEE International Conference on Advanced Computer Control, Shenyang, China, March, 2010, pp.14-18.

DOI: 10.1109/icacc.2010.5486774

[12] R. Errouissi and M. Ouhrouche. Nonlinear predictive controller for a permanent magnet synchronous motor drive[J]. Mathematics and Computers in Simulation, vol. 81(2010), pp.394-406.

DOI: 10.1016/j.matcom.2010.08.007