基于滑模速度控制器的PMSM模型预测电流控制

Kaihui Zhao, Ruirui Zhou, Jinhua She, Changfan Zhang, Jing He, Xiangfei Li
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引用次数: 1

摘要

针对传统PI控制的永磁同步电机驱动系统抗干扰性能差、稳态电流谐波分量多的问题,提出了一种基于滑模控制器(SMC-MPC)的模型预测控制方法。首先,设计了一种基于指数趋近律的滑模速度控制器来取代传统的PI速度控制器,降低了负载扰动对系统性能的影响;其次,在永磁同步电机离散模型的基础上,采用模型预测电流控制,降低电流谐波,提高转矩控制精度;然后通过控制d轴和q轴电流设计代价函数,得到驱动电机的最优输出电压矢量。最后,与传统的PI方法相比,仿真结果表明,该方法不仅有效地提高了系统对负载扰动的鲁棒性,而且减小了电流和转矩的脉动。该方法对永磁同步电机驱动系统具有良好的动静态性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Model Predictive Current Control Based on Sliding Mode Speed Controller for PMSM
To solve the problems such as poor anti-interference performance and more steady-state current harmonic components of a permanent magnet synchronous motor(PMSM) drive system based on traditional PI control, this paper presents a model predictive control method based on sliding-mode-controller (SMC-MPC). Firstly, a sliding mode speed controller based on exponential reaching law is designed to replace the traditional PI speed controller, and to reduce the influence of the load disturbance on system performance. Secondly, the model predictive current control is adopted based on the discrete model of PMSM to reduce current harmonics and improve the torque control accuracy. Then the cost function is designed by controlling the d- and q-axis current, and the optimal output voltage vector is obtained to drive the motor. Finally, compared with the traditional PI method, the simulation results show that the proposed method not only improves the robustness of the system to load disturbance effectively, but also decreases the ripples of current and torque. The presented method has good dynamic and static performance for PMSM drive system.
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