대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
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- Pages.452-455
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- 2003
신경회로망을 이용한 유도전동기의 적응 백스테핑 제어
Adaptive Backstepping Control of Induction Motors Using Neural Network
초록
Based on a field-oriented model of induction motor, adaptive backstepping approach using neural network(RBFN) is proposed for the control of induction motor in this paper. In order to achieve the speed regulation with the consideration of avoiding singularity and improving power efficiency, rotor angular speed and flux amplitude tracking objectives are formulated. rotor resistance uncertainty is compensated by adaptive backstepping and mechanical lumped uncertainty such as load torque disturbance, inertia moment, friction by RBFN. Simulation is provided to verify the effectiveness of the proposed approach.