다중 AFLC를 이용한 IPMSM 드라이브의 효율 최적화 제어

• Published in: 전기학회 논문지 P권, 59(3) Vol. 59; no. 3; pp. 279 - 287
• Main Authors: 최정식(Jung-Sik Choi), 고재섭(Jae-Sub Ko), 정동화(Dong-Hwa Chung)
• Format: Journal Article
• Language: Korean
• Published: 대한전기학회 2010
• Subjects: 전기공학; Efficiency Optimization Control; ANN; AFLC; Speed Control; IPMSM Drive; Speed Estimation
• ISSN: 1229-800X; 2586-7792

Interior permanent magnet synchronous motor(IPMSM) adjustable speed drives offer significant advantages over induction motor drives in a wide variety of industrial applications such as high power density, high efficiency, improved dynamic performance and reliability. This paper proposes efficiency optimization control of IPMSM drive using adaptive fuzzy learning controller(AFLC). In order to optimize the efficiency the loss minimization algorithm is developed based on motor model and operating condition. The d-axis armature current is utilized to minimize the losses of the IPMSM in a closed loop vector control environment. The design of the current based on adaptive fuzzy control using model reference and the estimation of the speed based on neural network using ANN controller. The controllable electrical loss which consists of the copper loss and the iron loss can be minimized by the optimal control of the armature current. The minimization of loss is possible to realize efficiency optimization control for the proposed IPMSM. The optimal current can be decided according to the operating speed and the load conditions. This paper considers the design and implementation of novel technique of high performance speed control for IPMSM using AFLC. Also, this paper proposes speed control of IPMSM using AFLC1, current control of AFLC2 and AFLC3, and estimation of speed using ANN controller. The proposed control algorithm is applied to IPMSM drive system controlled AFLC, the operating characteristics controlled by efficiency optimization control are examined in detail.