基于迭代学习与FIR滤波器的PMLSM高精密控制

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Abstract For permanent magnet linear synchronous motor(PMLSM), the influence of the uncertain factors such as the end effect, friction,load force and parameter variation and so on were easily affected by the operation.It was very difficult to achieve high precision tracking control.A control scheme based on iterative learning and finite impulse response(FIR) filter was proposed.Iterative learning control(ILC) could effectively suppress the repetitive disturbances and had higher control precision for PMLSM servo system with repetitive tasks.When PMLSM implemented non-repetitive tasks, it was difficult to achieve higher control precision.In order to further improve the tracking accuracy of the system running 1 times for PMLSM servo system based on ILC, FIR filter was designed by using the output information of ILC.The well designed filter was used to replace ILC.It made the control system gain the optimal ILC.The tracking accuracy of the system was improved.The sliding mode control(SMC) was used to supplement the FIR filter, so that the position error was fast converged to a certain limit, so as to improve the ability of disturbance rejection of the system. The experimental results indicate that the proposed control scheme makes the system have higher position tracking accuracy and stronger robustness.

Key words： Permanent magnet linear synchronous motor iterative learning control finite impulse response filter sliding mode control tracking accuracy

Received: 27 January 2016 Published: 12 May 2017

PACS:

TM315

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	Zhao Ximei
	Ma Zhijun
	Zhu Guoxin

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Zhao Ximei,Ma Zhijun,Zhu Guoxin. High Precision Control for PMLSM Based on Iterative Learning and FIR Filter[J]. Transactions of China Electrotechnical Society, 2017, 32(9): 10-15.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I9/10

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