Multi-objective Optimal Tuning Framework of the Entire PMSM-driven Servo System Considering High-frequency Disturbance Suppression

Zihan Tang,Liping Wang,Jihui Han,Dong Wang,Xuekun Li

IEEE ACCESS（2025）

Cited 0|Views5

Abstract

A universal PMSM-driven servo system comprises cascaded PI controllers with a low-pass speed filter for high-frequency disturbance suppression. However, the speed filter and the current loop have received limited attention during the tuning of the speed loop, potentially leading to high-frequency fluctuations or significant resonances in the entire servo system under disturbances. This paper proposes a novel framework of multi-objective optimal tuning for the entire PMSM-driven servo system, focusing on suppressing high-frequency disturbances. The controller parameters to be tuned include the PI gains of the speed loop, the filter time constant and the equivalent time constant of the current loop. The closed-loop cut-off frequency of disturbances is established as a constraint to optimize the speed filter, and the current loop time constant is selected as an objective to improve control smoothness. Experimental results demonstrate that the proposed method can reduce the high-frequency fluctuations of speed and current without causing system resonances.

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Key words

Optimization framework,multi-objective optimization,controller tuning,PMSM,servo system,speed filter,disturbance suppression,Optimization framework,multi-objective optimization,controller tuning,PMSM,servo system,speed filter,disturbance suppression

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【要点】：本文提出了一种针对整个PMSM驱动伺服系统的多目标优化调参框架，专注于抑制高频干扰，提高了系统的稳定性和控制平滑性。

【方法】：通过优化速度环PI增益、速度滤波器时间常数以及电流环等效时间常数，构建了多目标优化模型，以闭环扰动截止频率为约束条件，以电流环时间常数为优化目标。

【实验】：实验使用未具体说明的数据集，结果表明该方法能够有效减少速度和电流的高频波动，且不会引起系统共振。