| Citation: | XU Lingliang, CHEN Guiming, LI Qiaoyanget al. Ultra-local model-free speed predictive control based on ESO for PMSM[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(11): 2204-2214. doi: 10.13700/j.bh.1001-5965.2021.0085(in Chinese)
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An ultra-local model-free speed predictive control (MFSPC) method based on an extended state observer (ESO) is proposed to address the control performance decrease of permanent magnet synchronous motor (PMSM) due to parameter changes and external disturbances, and to solve the one-step delay problem in digital systems. This method reduces the model mismatch caused by motor parameter changes, using only the input and output of speed loops without motor parameters. The ESO is established to overcome the problems of the traditional MFSPC method which adjusts many parameters with large workload and output pulsation, obvious chattering, and low anti-interference and robustness. The ESO monitors the total disturbance of the system in real time, and performs feedforward compensation. It also addresses the beat delay problem in the digital control system, using the generated speed prediction, and sets the control parameters to improve control performance based on frequency domain analysis. Experimental results show that the proposed method has strong anti-interference and robustness, can track the rated speed steadily, and has faster dynamic response.
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