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Explicit model predictive control of permanent magnet synchronous motors based on multi-point linearization
Transactions of the Institute of Measurement and Control ( IF 1.7 ) Pub Date : 2021-05-25 , DOI: 10.1177/01423312211015120
Qian Guo 1, 2, 3 , Tianhong Pan 2 , Jinfeng Liu 3 , Shan Chen 1
Affiliation  

Permanent magnet synchronous motors (PMSMs) have been broadly applied in servo-drive applications. It is necessary to improve the performance of PMSM. An explicit controller designed for PMSM based on multi-point linearization is proposed to reduce the linearized model error caused by different running status of PMSM. The mathematical model of PMSM system in the synchronous rotating frame and the problem formulation are introduced at first. Then, the preliminaries about explicit model predictive control (MPC) algorithm are presented in this article. Based on this, the multi-point linearization model is created for explicit MPC controller design. Moreover, the block diagram of the proposed method for PMSM system is presented. Finally, the simulation results are provided to demonstrate that the proposed explicit MPC controller based on multi-point linearization achieves better performance than that based on traditional single-point linearization, but requires the same online computation time because of the offline optimization of explicit MPC.



中文翻译:

基于多点线性化的永磁同步电动机显式模型预测控制

永磁同步电动机(PMSM)已广泛应用于伺服驱动器应用中。有必要提高PMSM的性能。提出了一种基于多点线性化的PMSM显式控制器,以减少由于PMSM运行状态不同而引起的线性化模型误差。首先介绍了同步旋转框架中永磁同步电机系统的数学模型和问题的提出。然后,本文介绍了显式模型预测控制(MPC)算法的初步知识。基于此,为明确的MPC控制器设计创建了多点线性化模型。此外,给出了所提出的用于PMSM系统的方法的框图。最后,

更新日期:2021-05-25
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