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《Mechanical Science and Technology for Aerospace Engineering》 2012-10
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Disturbance Force Analysis and Compensation of Permanent Linear Synchronous Motors for NC Machine

Xie Honglei1,Zhang Weimin1,2,Yang Yong1(1College of Mechanical Engineering,Tongji University,Shanghai 201804; 2Sino-German College,Tongji University,Shanghai 200092)  
In order to improve the positioning accuracy of the permanent magnet linear synchronous motors(PMLSM),a neural network is adopted to identify and compensate two types of disturbance force represented by thrust ripple and cutting force respectively in this paper.At first,the thrust ripple result from special structure of PMLSM was identified by sampling the no-load current of motor and modifying the phase difference;then,the model of thrust ripple was built and the parameters of neural network offline were optimized.Also,eliminate the error of model and compensate for the second type of disturbance force with the adaptability and nonlinear function of neural network.A complex controller with three loops and feed forward based on neural network is designed to conquer the disadvantage of pure model and makes full use of the predictable disturbance force.Simulation results verify that this controller can improve the positioning accuracy of PMLSM and its robustness is strong.
【Fund】: 高速/复合数控机床及关键技术创新能力平台(2011ZX04016-021)资助
【CateGory Index】: TM341
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