Study on two-phase hybrid stepping motor control system based on brain emotional learning model

  

  • Received:2012-12-20 Revised:2013-03-27 Published:2013-06-20

Abstract: In order to optimize the speed control performance of two-phase hybrid stepping motor, the impact of the strong-coupled magnetic field and the time-varying parameters on its 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 on to the dynamic mathematical model of motor, and thus eliminates the effects of the time-varying parameters. Compared with PID control, the proposed method can inhibit the vibration better, increase the speed of response and improve speed tracking precision. This control method is suitable for the applications with high requirements on response speed, precision and stability.

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

CLC Number: 

  • TG383.6
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