Abstract
When a low-resolution photoelectric encoder was used for the speed detection, only the average speed during the sampling period can be obtained. Under low-speed conditions, detection lag makes the speed controller unstable. This paper presents a novel permanent magnet synchronous motor (PMSM) drive technique using an optimal state estimator for high-performance speed control. In the proposed algorithm, a state estimator based on the extended Kalman filter (EKF) was used to provide exact estimation for instantaneous currents, speed, position and disturbance load torque in a random noisy environment. Then, the anti-disturbance ability and the robustness to variations of the mechanical parameters were studied. Finally, an experimental platform was built to verify the efficiency of this method. The results show a precise speed control over a wide range of speeds and the proposed system is robust to modeling error and system noise.
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