Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Maximum Torque Control of IPMSM Drive with ALM-FNN

ALM-FNN에 의한 IPMSM 드라이브의 최대토크 제어

  • Lee, Jung-Ho (Sunchon national University Major of Electrical Control Engineering) ;
  • Choi, Jung-Sik (Sunchon national University Major of Electrical Control Engineering) ;
  • Ko, Jae-Sub (Sunchon national University Major of Electrical Control Engineering) ;
  • Kim, Jong-Kwan (Sunchon national University Major of Electrical Control Engineering) ;
  • Park, Byung-Sang (Sunchon national University Major of Electrical Control Engineering) ;
  • Park, Ki-Tae (Sunchon national University Major of Electrical Control Engineering) ;
  • Chung, Dong-Hwa (Sunchon national University Major of Electrical Control Engineering)
  • 이정호 (순천대학교 전기제어공학과) ;
  • 최정식 (순천대학교 전기제어공학과) ;
  • 고재섭 (순천대학교 전기제어공학과) ;
  • 김종관 (순천대학교 전기제어공학과) ;
  • 박병상 (순천대학교 전기제어공학과) ;
  • 박기태 (순천대학교 전기제어공학과) ;
  • 정동화 (순천대학교 전기제어공학과)
  • Published : 2006.07.12
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Abstract

The paper is proposed maximum torque control of IPMSM drive using adaptive learning mechanism-fuzzy neural network (ALM-FNN) and artificial neural network(ANN). For each control mode, a condition that determines the optimal d-axis current $i_d$ for maximum torque operation is derived. The proposed control algorithm is applied to IPMSM drive system controlled ALM-FNN and ANN, the operating characteristics controlled by maximum torque control are examined in detail. Also, this paper is proposed the analysis results to verify the effectiveness of the ALM-FNN and ANN.

Keywords