Adaptive State Feedback Control System of DC Motors with Periodic Random Disturbance

주기적 확률외란을 갖는 DC 전동기의 적응형 상태궤환 제어시스템

  • 정상철 (부산대학교 전기.제어계측공학과) ;
  • 김준수 (한국폴리텍VII대학 전자과) ;
  • 조현철 (동아대학교 전기공학과) ;
  • 이형기 (부산대학교 전기.제어계측공학과)
  • Published : 2008.06.01

Abstract

Periodic disturbance is practically occurred in several engineering applications, especially in data storage systems. However, recently addressed controls for such problem were mostly dealt with its deterministic nature, which is rarely practical in real-time implementation. We present an adaptive control approach for DC motor systems with periodic stochastic disturbance whose frequency and magnitude are both random variables. We establish adaptive state feedback control which is linearly composed of nominal and corrective control parameter matrices. The former is derived from a nominal system model voiding disturbance and the latter is constructed from a disturbed system model by using Lyapunov stability theory. We carry out computer simulation to evaluate the proposed control methodology and compare to the recently addressed control method to demonstrate its superiority.

Keywords

References

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