A Simple and Robust Model Predictive Current Control of Induction Machine Using Stator Current Predictor and Target-Oriented Cost Function

IEEE Access

Zhihua Peng¹ 

[1] School of Electrical Engineering, Shaoyang University, Shaoyang, China;

关键词: Induction machine;    model predictive current control;    robustness;    cost function;   

DOI  :  10.1109/ACCESS.2021.3131330

来源: DOAJ

【 摘 要 】

Model predictive current control, which inherits from vector control framework, is expected to become a promising control strategy to improve the dynamic performance of servo system because of its simple structure and fast dynamic response. However, the mismatch parameters will cause the stator current prediction errors, resulting in the deterioration of dynamic performance, the increase of steady-state error and stator current harmonic. To solve this problem, a simple stator current predictor is proposed in this paper, which construction principle is to introduce feedback mechanism in discrete domain. Based on the discrete control theory, the design method of feedback coefficient is analyzed in detail. In addition, the design method of cost function is usually based on the stator current tracking error in the current step, which can not realize the direct optimization of stator current harmonics. In this paper, a target-oriented cost function is designed. Its design principle directly takes the harmonic content of stator current as the optimization target, so as to select the optimal voltage vector. The experimental results show that compared with the traditional methods, the proposed method significantly improves the dynamic performance, steady-state performance and robustness of the control system.

【 授权许可】

Unknown