근사기법을 이용한 IPMSM 드라이브의 최대토크제어 = Maximum Torque Control of IPMSM Drive Using Approximation Method

다국어 초록 (Multilingual Abstract)

This paper proposes maximum torque control of IPMSM drive using multi model reference adaptive fuzzy controller(MFC) and artificial neural network(ANN). This control method is applicable over the entire speed range which considered the limits of the inverter's current and voltage rated value. For each control mode, a condition that determines the optimal d-axis current id for maximum torque operation is derived.
This paper considers the design and implementation of novel technique of high performance speed control for IPMSM using multi-MFC and ANN controller. The hybrid combination of neural network and fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper proposes maximum control of IPMSM drive using approximation method. This method is decreased the burden of digital signal process(DSP) in calculation of optimal current.
This paper proposes the analysis results to verify the effectiveness of the MFC and ANN controller. Also it verifies the validity of maximum torque control of IPMSM drive with approximation method.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 최대토크제어
• 3. MFC 제어기
• 4. 시스템 성능 분석
• 5. 결론
• [참고문헌]