인공 신경회로망에 의한 SynRM 드라이브의 최대토크 제어

In this paper, a new approach for the Synchronous Reluctance Motor control which ensures producing Maximum Torque per Ampere(MTPA) over the entire field weakening region is presented. In addition, This paper presents a speed sensorless control scheme of SynRM using artificial neural network. Also, b...

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Bibliographic Details
Published in전기학회 논문지 P권, 54(4) Vol. 54P; no. 4; pp. 185 - 191
Main Authors 高在涉(Jae-Sub Ko), 南守明(Su-Myeong Nam), 鄭東和(Dong-Hwa Chung)
Format Journal Article
LanguageKorean
Published 대한전기학회 2005
Subjects
전기공학
speed sensorless control
ANN
SynRM
Neural network
Maximum Torque per Ampere
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Summary:In this paper, a new approach for the Synchronous Reluctance Motor control which ensures producing Maximum Torque per Ampere(MTPA) over the entire field weakening region is presented. In addition, This paper presents a speed sensorless control scheme of SynRM using artificial neural network. Also, by adjusting the base speed for the field weakening operation according to the flux level, the current and voltage limit, the smooth and precise transition into the field weakening operation can be achieved. The proposed scheme is verified validity through simulation.
Bibliography:KISTI1.1003/JNL.JAKO200509906255543
G704-001568.2005.54.4.005
ISSN:1229-800X
2586-7792