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Efficiency Optimization Control of SynRM Drive with HAI Controller

HAI 제어기에 의한 SynRM 드라이브의 효율 최적화 제어

  • 정동화 (순천대학교 정보통신공학부) ;
  • 최정식 (순천대학교 대학원 전기공학과) ;
  • 고재섭 (순천대학교 대학원 전기공학과)
  • Published : 2006.05.31

Abstract

This paper is proposed an efficiency optimization control algorithm for a synchronous reluctance motor which minimizes the cower and iron losses. The design of the speed controller based on adaptive fuzzy-neural networks(AFNN) controller that is implemented using fuzzy control and neural networks. There exists a variety of combinations of d and f-axis current which provide a specific motor torque. The objective of the efficiency optimization controller is to seek a combination of d and q-axis current components, which provides minimum losses at a certain operating point in steady state. It is shown that the current components which directly govern the torque production have been very well regulated by the efficiency optimization control scheme. The proposed algorithm allows the electromagnetic losses in variable speed and torque drives to be reduced while keeping good torque control dynamics. The control performance of the hybrid artificial intelligent(HAI) controller is evaluated by analysis for various operating conditions. Analysis results are presented to show the validity of the proposed algorithm

본 논문은 동손과 철손을 최소화 하는 SynRM을 위하여 효율 최적화 알고리즘을 제시하였다. 속도 제어기의 설계는 퍼지제어와 신경회로망을 사용한 적응 퍼지-신경회로망(AFNN) 제어기에 기반을 두었다. 특정 토크는 d와 q축의 전류성분의 다양한 합성으로 얻을 수 있다. 효율최적화 제어는 정상상태에 일정한 동작점에서 최소 손실을 제공하는 d와 q축 전류 성분의 조합을 찾는다. 직접 조절되는 토크 발생은 효율최적화 제어 설계에 의하여 매우 잘 조절되어지는 전류 성분이다. 제시된 알고리즘은 속도변화와 양호한 토크제어를 위해 전자기적 손실을 허용한다. HAI 제어기의 제어성능은 다양한 동작상태 분석을 통하여 평가한다. 분석된 결과는 제시된 알고리즘의 타당성을 보여준다.

Keywords

References

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