journal article·2023-10-25Open access

Deadbeat Predictive Current Control for Surface-Mounted Permanent-Magnet Synchronous Motor Based on Weakened Integral Sliding Mode Compensation

Yongkang Zhang, Chengsheng Ji, Qianliang You, Dexin Sun, Yuee Xie

Applied Sciences· Volume 13· Issue 21

Abstract

Deadbeat predictive current control (DPCC) has excellent dynamics and can achieve current control with less computational effort. However, its control performance relies on the precision of the parameters of the motor. Current static error will be generated and control performance will be decreased when the predictive model parameters do not correspond to the practical parameters of the motor. In this article, a weakened integral sliding mode compensation method is proposed which converts the current error into a voltage compensation term and adds it to the prediction control output to effectively compensate for the steady-state error. In addition, a boundary layer is introduced to weaken the integral so as to solve the problems of integral saturation and overshoot caused by the introduction of the integral term when the error is large. Moreover, weight factors are introduced to optimize the feedback current, which enhances the robustness of the system. In the end, the effectiveness of this method is verified via simulation and experimental results.
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Research context

OpenAlex topics: Multilevel Inverters and Converters · Electric Motor Design and Analysis · Sensorless Control of Electric Motors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Physics and Electronic Engineering, Jiangsu University, Zhenjiang 212013, China

Nantong Academy of Intelligent Sensing, Nantong 226010, China

Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China

Funding

Basic Science Research and Social Livelihood S&T Foundation of Nantong City in Jiangsu Province, China

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