Application of Chaos in Permanent Magnet Synchronous Motor Optimization

Qiang Gao; Sha Sha Chen; Pan Long Tan; Yu Song

doi:10.4028/www.scientific.net/AMM.385-386.1147

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 385-386Application of Chaos in Permanent Magnet...

Application of Chaos in Permanent Magnet Synchronous Motor Optimization

Abstract:

Permanent magnet synchronous motor (PMSM) is a system with multi-variable, strong coupling and nonlinear. It is difficult to establish its precise mathematical model, and the parameter optimization method of PMSM control system is subject to many limitations. Aiming at the design of PID tuning of PMSM control system, a chaos optimization method based on Logistic chaotic map is proposed to avoid the complex process of PMSM modeling and parameter optimization analysis. Results have shown that this method is simple and efficient with short response time and small overshoot after the parameter optimization.

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Periodical:

Applied Mechanics and Materials (Volumes 385-386)

Pages:

1147-1150

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.385-386.1147

Citation:

Cite this paper

Online since:

August 2013

Authors:

Qiang Gao, Sha Sha Chen, Pan Long Tan, Yu Song

Keywords:

Chaos Optimization, Logistic Map, PID Permanent, PMSM

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References

[1] Cheng Shukang, Yu Yanjun, Chai Feng. Analysis of the Inductances of Interior Permanent Magnet Synchronous Motor. Proceedings of the CSEE. Vol. 29, No. 18(2009): pp.94-99.

Google Scholar

[2] Jiang Cunbo, Zhang Shuzhen, Qin Yanzhi. Parameter Tuning Method of a Single－parameter PID Control Algorithm. Automation ＆ Instrumentation. (2010): pp.32-36.

Google Scholar

[3] Yang Jing. Design of Fuzzy controller and PID tuning. Science& Technology information. No. 33(2007): pp.354-470.

Google Scholar

[4] Hao Wei, Xie Keming. Design and Simulation of a Fuzzy2Immune PID Controller with Parameter Tuning. Journal of Taiyuan University of Technology. Vol. 37 No. 3(2006): pp.274-276.

Google Scholar

[5] Hao Qi, Guan Liwen, WANG Liping. GA-based control parameter tuning of parallel machine tool motor servo system. J Tsinghua Univ. Vol. 50, No. 1(2010): pp.1801-1806.

Google Scholar

[6] Li Bingqiang, iu Hui. Novel High-precision Speed Regulation System for Permanent Magnet Synchronous Motor. Vol. 29 No. 15(2009): pp.61-66.

Google Scholar

[7] Yan Shuai Yang Ming, Gui Xianguo, Xu Dianguo. PM AC Servo System Based on DSP and FPGA. Vol. 40, No. 4(2007): pp.28-31.

Google Scholar