Precision Speed Control of PMSM Using Neural Observer

Neural Observer를 이용한 PMSM의 정밀 속도 제어

  • Ko Jong-Sun (School of Electric-Electronic and Information Engineering, Wonkwang University) ;
  • Lee Yong-Jae (School of Electric-Electronic and Information Engineering, Wonkwang University) ;
  • Lee Tae-Hoon (School of Electric-Electronic and Information Engineering, Wonkwang University)
  • 고종선 (원광대학교 전기-전자 및 정보 공학부) ;
  • 이용재 (원광대학교 전기-전자 및 정보 공학부) ;
  • 이태훈 (원광대학교 전기-전자 및 정보 공학부)
  • Published : 2002.11.01

Abstract

This paper presents neural observer that used to deadbeat load torque observer. Most practical systems are nonlinear, and it is general practice to use linear models to simplify their analysis and design. However, the locally linearized model is invalid for a large signal change. The neural observer is suggested to increase the performance of the load torque observer and main controller The output error and estimeted state is trianed by neural network of neural observer. As a result, the state estimation error is minimised and deadbeat load torque observer make use of corrected esimation state. To reduce of the noise effect of deadbeat load torque observer, the post-filter which is implemented by MA process, is adopted. As a result, the proposed control system becomes a robust and precise system against the load torque. A stability and usefulness, through the verified computer simulation, are shown in this paper.

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