吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (3): 765-770.doi: 10.13229/j.cnki.jdxbgxb201403029

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Stepping motor control system based on brain emotional learning model

WANG Shuai-fu1,2, LIU Jing-lin1   

  1. 1.School of Automation, Northwestern Polytechnical University, Xi'an 710072, China;
    2.Electric Power Engineering Department of Changsha Electric Power Technical College, Changsha 410131, China
  • Received:2012-12-20 Online:2014-03-01 Published:2014-03-01

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Abstract: In order to optimize the speed control performance of two-phase hybrid stepping motor, the impacts of the strong-coupled magnetic field and the time-varying parameters on the closed-loop control system are explored. According to the operating principle of stepping motor and relationship between winding back electromotive force and rotor position, an intelligent control method is proposed based on brain emotional learning model. This method is independent to the dynamic mathematical model of the motor, thus eliminating the effects of the time-varying parameters. Compared with Proportional Integral Derivative (PID) control, the proposed method can more effectively inhibit the vibration, increase the speed of response and improve the speed tracking precision. This control method is suitable for the applications with high requirements on response speed, precision and stability.

Key words: electrical engineering, hybrid stepping motor, brain emotional learning(BEL), speed control

CLC Number: 

  • TM383.6
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