대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2002년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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- Pages.151-154
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- 2002
신경망을 이용한 리럭턴스 동기전동기(Reluctance Synchronous Motor)의 인덕턴스 보상에 관한 연구
A Study on Inductance compensation of Reluctance Synchronous Motor with Neural Network
- Kim, Min-Huei (Yeungnam college of Science & Technology) ;
- Kim, Nam-Hun (Yeugnam University) ;
- Baik, Won-Sik (Yeugnam University) ;
- Park, Hong-Il (Yeugnam University) ;
- Kim, Dong-Hee (Yeugnam University)
- 발행 : 2002.04.25
초록
This paper presents an implementation of high-dynamic performance control system of Reluctance Synchronous Motor(RSM) drives for an industrial servo drive system with direct torque control(DTC). The estimation of the stator flux and torque are obtained by using flux observer which a saturated inductance Ld and Lq of d-q axises can be compensated by using the neural network from measuring the modulus and angle of the stator current space vector. To obtain fast torque response and maximum torque/current, the reference command flux is ensured by imposing Ids=Iqs. The control strategy is proposed to fast response and optimal efficiency for RSM drive. The developed digitally high-performance control system are shown a good response characteristic of control results and high performance features using 1.0kW RSM.