ANN의 속도 추정에 의한 SynRM의 효율 최적화 제어

• Published in: 전기학회 논문지 P권, 55(3) Vol. 55P; no. 3; pp. 133 - 140
• Main Authors: 崔正植(Jung-Sik Choi), 高在涉(Jae-Sub Ko), 鄭東和(Dong-Hwa Chung)
• Format: Journal Article
• Language: Korean
• Published: 대한전기학회 2006
• Subjects: 전기공학; Efficiency optimization control; Artificial Neural Network; Synchronous Reluctance Motor; Sensorless Control
• ISSN: 1229-800X; 2586-7792

This paper is proposed an efficiency optimization control algorithm for a synchronous reluctance motor(SynRM) which minimizes the copper and iron losses. Also, this paper presents a speed estimated control scheme of SynRM using artificial neural network(ANN). There exists a variety of combinations of d and q-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 ANN is evaluated by analysis for various operating conditions. Analysis results are presented to show the validity of the proposed algorithm.