Position Estimation Error Ripple Elimination for Model-Based Method
The position sensorless control methods can be divided into two groups, the back-EMF-based methods [1–8] and the HF injection methods. According to Chap. 5, fundamental excitation methods based on EMF or flux-linkage model are frequently used for medium- and high-speed sensorless operation in industry applications. The second-order position observer, the full-order position observer, and the seamless hybrid control are proposed. Other fundamental excitation methods can be roughly categorized as the state observer, the Kalman filter, the disturbance observer, the MRAS observer, the sliding-mode observer (SMO), and the artificial intelligence-based estimation method . However, there are some common shortcomings among these EMF-based methods.
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