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《Transactions of China Electrotechnical Society》 2013-03
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Disturbance Rejection for PMLSM Based on Iterative Learning Control and Wavelet Filter

Yang Junyou Liu Yongheng Bai Dianchun Yang Kang Yu Jishuai(Shenyang University of Technology Shenyang 110870 China)  
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.
【Fund】: 国家自然科学基金(51075281);; 教育部高等学校博士学科点专项基金(20112102110002);; 辽宁省高等学校创新团队(LT2010081)资助项目
【CateGory Index】: TM341
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