Model Free Deadbeat Predictive Speed Control of Surface-Mounted Permanent Magnet Synchronous Motor Drive system
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In the predictive controlled surface-mounted permanent magnet synchronous motor (SMPMSM) drive system, parametric uncertainties and external disturbances lead to model mismatch and eventually causing the performance degradation. Consequently, this paper proposed a model free deadbeat predictive speed controller (MFDPSC) based on the ultra-local model and deadbeat predictive control. The ultra-local model is established through the input and output variable of the speed loop within parametric uncertainties and external disturbances, then it is used as the predictive model for the design of MFDPSC. The proposed method avoids the requirement of the knowledge of the SMPMSM drive system, and therefore ensures the system robustness. At last, the simulation and experiment are implemented to verify the speed tracking performance of the proposed method, and the results show that the proposed method is robust to parametric uncertainties and external disturbances.
KeywordsModel free Deadbeat predictive control Parametric uncertainties External disturbance Permanent magnet synchronous motor Speed control
This work was supported by the National Natural Science Foundation of China (Grant numbers: 51877064 and 51377041).
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