Velocity ripple minimization in permanent magnet stepper motor using current error based iterative learning control

  • Kim, Wonhee
  • Han, Jongpyo
  • Choi, Induk
  • Chung, Chung Choo
Citations

SCOPUS

3

초록

In this paper, iterative learning control (ILC) with field oriented control is proposed to reject periodic velocity ripple which are casually detent torque and other various sources in permanent magnet stepper motor(PMSM). Single-input single-output (SISO) system structure with field-oriented control (FOC) is proposed to be applied to ILC. To make the error convergence fast, current error based ILC using plant inversion method is designed. The condition that error converges to zero is derived. Simulation results show that the velocity ripple is cut in by using ILC.

키워드

Field oriented controlIterative learning controlPermanent magnet stepper motorVelocity rippleCurrent errorError convergenceField oriented controlInversion methodsIterative learning controlPermanent magnet stepper motorsRipple minimizationSimulation resultSingle input single output systemsLearning algorithmsMagnetic devicesPermanent magnetsPosition controlStepping motorsVelocityTwo term control systems
제목
Velocity ripple minimization in permanent magnet stepper motor using current error based iterative learning control
저자
Kim, WonheeHan, JongpyoChoi, IndukChung, Chung Choo
발행일
2009-08
유형
Conference Paper
저널명
ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings
페이지
598 ~ 602