EKF-LQR-based Cooperative Optimal Control of IPMSM

Superior power density, high efficiency and excellent controllability contribute to interior permanent magnet synchronous machine(IPMSM) research hot issue. With high performance computing and digital signal processing, the extended Kalman filter(EKF) speed estimation can offer accurate online prediction and correction of speed in discrete system. However, based on speed estimation, id = 0 field-oriented field control strategy ignores the use of reluctance torque of IPMSM. Consequently, this paper proposes an EKF-LQR-based cooperative control scheme. It exploits accurate speed estimation with EKF and better stability with LQR. In detail, online EKF-LQR controller shows complementary features, where outer-loop achieves high dynamic speed estimation and inner-loop completes good transition. In the end, the methodology is simulated and validated to have high dynamics and self-adaptation.

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