控制理论(社会学)
电流(流体)
模型预测控制
简单(哲学)
同步电动机
控制工程
直接转矩控制
扭矩
机器控制
感应电动机
计算机科学
交流电动机
控制(管理)
工程类
电动机
物理
电压
机械工程
电气工程
哲学
认识论
人工智能
热力学
作者
Xiaoguang Zhang,Yuanhang Cao
标识
DOI:10.1109/tie.2024.3447750
摘要
With the aim of improving parameter robustness in the model predictive current control (MPCC) for permanent magnet synchronous motor (PMSM) drive system, a simple motor-parameter-free model predictive current control (MPF-MPCC) methodology is proposed in this study. First, for different characteristics of dq-axes prediction model, the parameters of resistance and flux-linkage in the model are removed. Besides, an estimation factor is designed to substitute the inductance term in the model and is calculated based on a simple rhythm in real time. Utilizing the established predictive current model devoid of any motor parameters, the optimal voltage vector is accurately selected for controlling the motor. Finally, the effectiveness of the proposed MPF-MPCC methodology is substantiated through rigorous validation on a 1.25-kW experimental platform.
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