基于迭代学习与小波滤波器的永磁直线伺服系统扰动抑制

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Abstract A method of combining iterative learning control(ILC) algorithm with wavelet filter was adopted to reduce the periodic and aperiodic disturbances in permanent magnet linear synchronous motor(PMLSM). The iterative learning controller used for PMLSM servo system gets fast convergence and less iteration times by reconstructing input signals and removing aperiodic disturbance components. The experimental method is adopted to determine the parameters of L-filter in ILC. The experimental results indicate that the proposed method has better tracking precision compared with no wavelet filter and traditional PID. The ILC algorithm assures that the output trajectory precisely tracks anticipant trajectory with fewer iteration times.

Key words： Permanent magnet linear synchronous motor(PMLSM) wavelet filter iterative learning control(ILC) disturbance rejection servo system

Received: 10 September 2012 Published: 25 March 2014

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TM351

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	Yang Junyou
	Liu Yongheng
	Bai Dianchun
	Yang Kang
	Yu Jishuai

Cite this article:

Yang Junyou,Liu Yongheng,Bai Dianchun等. Disturbance Rejection for PMLSM Based on Iterative Learning Control and Wavelet Filter[J]. Transactions of China Electrotechnical Society, 2013, 28(3): 87-92.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2013/V28/I3/87

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