A modified model predictive current control of SRMs for torque ripple suppression

IF 2.1 4区工程技术

Advances in Mechanical Engineering Pub Date : 2024-07-24 DOI:10.1177/16878132241264410

Liqun Huangfu, Chen Cen, Tao Zhang

引用次数: 0

Abstract

In this paper, the model predictive current control (MPCC) is proposed to reduce the torque ripple of a switched reluctance motor by realizing precise current tracking. The Linear Quadratic Regulator (LQR) is employed to establish the cost functions of MPCC, which can select optimal control variables. Besides, the Kalman filter is employed to estimate the system state to reduce the influence of disturbance. In addition, the PI controller is replaced by automatic disturbance rejection control (ADRC) to further improve the robustness of the system. Finally, experimental results are shown to verify the effectiveness regarding distinguished tracking performance, dynamic response, and robustness of the proposed MPCC. It can be found that the improved MPCC proposed in this paper can achieve lower torque ripple, distinguished current tracking performance, and dynamic response performance.

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用于抑制扭矩纹波的改进型 SRM 电流预测控制

本文提出了模型预测电流控制（MPCC），通过实现精确的电流跟踪来降低开关磁阻电机的转矩纹波。采用线性二次调节器（LQR）建立 MPCC 的成本函数，从而选择最佳控制变量。此外，还采用卡尔曼滤波器来估计系统状态，以减少干扰的影响。此外，自动干扰抑制控制（ADRC）取代了 PI 控制器，进一步提高了系统的鲁棒性。最后，实验结果验证了所提出的 MPCC 在卓越的跟踪性能、动态响应和鲁棒性方面的有效性。实验结果表明，本文提出的改进型 MPCC 可以实现更低的扭矩纹波、出色的电流跟踪性能和动态响应性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advances in Mechanical Engineering Engineering-Mechanical Engineering

自引率

4.80%

发文量

353

期刊介绍： Advances in Mechanical Engineering (AIME) is a JCR Ranked, peer-reviewed, open access journal which publishes a wide range of original research and review articles. The journal Editorial Board welcomes manuscripts in both fundamental and applied research areas, and encourages submissions which contribute novel and innovative insights to the field of mechanical engineering