控制理论(社会学)
稳健性(进化)
迭代学习控制
前馈
观察员(物理)
控制工程
计算机科学
同步电动机
病媒控制
工程类
电压
感应电动机
控制(管理)
人工智能
生物化学
化学
物理
电气工程
量子力学
基因
作者
Jiaxin Lei,Shuhua Fang,Demin Huang,Yicheng Wang
出处
期刊:IEEE Transactions on Power Electronics
[Institute of Electrical and Electronics Engineers]
日期:2023-11-01
卷期号:38 (11): 13866-13876
被引量:2
标识
DOI:10.1109/tpel.2023.3306157
摘要
The article proposes an enhanced deadbeat predictive current control for the permanent-magnet synchronous motor using an iterative sliding mode observer to improve the current control accuracy. The inevitable deadtime and distortion of flux linkage will lead to large periodic current ripples related to the speed, which may degrade the performance of the motor control. To overcome these problems and improve the robustness of the controller, the iterative learning control (ILC) and sliding mode observer are combined, and feedforward to the deadbeat controller for prediction accuracy improvement. Moreover, in order to satisfy the requirements of the variable speed operation of the motor, the ILC is enhanced to achieve spatial learning ability. Experimental results are finally implemented on STM32-based platform to validate the effectiveness of the proposed method for current ripples suppression and adaptability to variable speed.
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