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  HomeContents of Chinese Journal of Mechanical Engineering (English Edition),2008 No.2FORCE RIPPLE SUPPRESSION TECHNOLOGY FOR LINEAR MOTORS BASED ON BACK PROPAGATION NEURAL NETWORK

ZHANG Dailin

CHEN Youping

AI Wu

ZHOU Zude
School of Mechanical Engineering, Huazhong University of Science and Technology,
Wuhan 430074, China

KONG Ching Tom
Institute of Precision Engineering,
The Chinese University of Hong Kong,
Hong Kong, China

 

 

FORCE RIPPLE SUPPRESSION TECHNOLOGY FOR LINEAR MOTORS BASED ON BACK PROPAGATION NEURAL NETWORK* 

 

Abstract: Various force disturbances influence the thrust force of linear motors when a linear motor (LM) is running. Among all of force disturbances, the force ripple is the dominant while a linear motor runs in low speed. In order to suppress the force ripple, back propagation(BP) neural network is proposed to learn the function of the force ripple of linear motors, and the acquisition method of training samples is proposed based on a disturbance observer. An off-line BP neural network is used mainly because of its high running efficiency and the real-time requirement of the servo control system of a linear motor. By using the function, the force ripple is on-line compensated according to the position of the LM. The experimental results show that the force ripple is effectively suppressed by the compensation of the BP neural network.

Key words: Linear motor (LM) Back propagation(BP) algorithm Neural network Anti-disturbance technology

 


* This project is supported by National Natural Science Foundation of China(No. 60474021). Received July 4, 2006; received in revised form November 19, 2007; accepted December 21, 2007

Open or Download Full Text of this Paper (PDF File)

 

Biographical notes

ZHANG Dailin is currently a PhD in School of Mechanical Engineering, Huazhong University of Science and Technology, China. He received his MS degree from College of Mechanical Engineering, Shandong University, China, in 2003. His research interests include servo control, intelligent control, linear motor, etc.
Tel: +86-27-87541482; E-mail: mnizhang@tom.com

CHEN Youping is currently a professor in School of Mechanical Engineering, Huazhong University of Science and Technology, China. His research interests include servo control, virtual manufacturing, network manufacturing, etc.
Tel: +86-27-87541482; E-mail: ypchen@mail.hust.edu.cn

AI Wu is currently a professor in School of Mechanical Engineering, Huazhong University of Science and Technology, China. His research interests include servo control, linear motor, etc.
Tel: +86-27-87541482; E-mail: aiwu1@163.net

ZHOU Zude is currently a professor in School of Mechanical Engineering, Huazhong University of Science and Technology, China. His research interests include servo control, virtual manufacturing, network manufacturing, etc.
Tel: +86-27-87541482; E-mail: zdzhou@mail.hust.edu.cn

KONG Ching Tom is currently a research assistant professor in Institute of Precision Engineering, the Chinese University of Hong Kong, China. His research interests include motion control, robotics and mechatronics.
Tel: +86-852-31634237; E-mail: ckong@mae.cuhk.edu.hk


References


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