Abstract
This paper proposes a dual-vector method based on the finite-control-set model predictive control (FCS-MPC) and uses an improved active disturbance rejection control (ADRC) method to obtain a good tolerance of parameter mismatch and speed of regulation when the torque changes on a permanent-magnet synchronous motor (PMSM). It is famous that the ADRC controller produces huge peak outputs when the target speed changes, which can be a potential problem for the circuit and lead to reduced stability of the control system. For this reason, we propose an improved ADRC method that changes some of the large gain constants in extended state observer (ESO) module and nonlinear law state error feedback (NLSEF) module into time-varying functions, thereby suppressing peaks. The improved ADRC method is able to suppress the output peaks and has better robustness as demonstrated by simulation examples.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant No. 61873130) and “Chunhui Program” Collaborative Scientific Research Project (Grant No. 202202004).
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Jiang, T., Wu, Y., Yang, Y. (2023). Time-Varying Function-Based Anti-Disturbance Method for Permanent-Magnet Synchronous Motors. In: Deng, Z. (eds) Proceedings of 2023 Chinese Intelligent Automation Conference. CIAC 2023. Lecture Notes in Electrical Engineering, vol 1082. Springer, Singapore. https://doi.org/10.1007/978-981-99-6187-0_70
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DOI: https://doi.org/10.1007/978-981-99-6187-0_70
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