控制理论(社会学)
模型预测控制
电压
控制(管理)
电动机控制
计算机科学
控制工程
工程类
心理学
神经科学
人工智能
电气工程
作者
Xiaoguang Zhang,Ruifang Chen
出处
期刊:CES transactions on electrical machines and systems
[Electrical Engineering Press Co. Ltd.]
日期:2024-12-01
卷期号:8 (4): 471-480
被引量:1
标识
DOI:10.30941/cestems.2024.00049
摘要
To address the performance degradation of permanent magnet synchronous motor (PMSM) drives caused by parameter mismatches between actual motor and ideal model in complex industrial environment, an improved model predictive voltage control (I-MPVC) approach without motor parameters is presented in this article. Unlike traditional MPVC where accurate motor parameters are heavily relied on, a motor parameter-independent (MPI) prediction model is constructed to eliminate parameter dependency. Firstly, an incremental voltage prediction model is developed where the influence of resistance and flux linkage mismatches is reduced. Then, an inductance parameter-independent (IPI) factor model, which solely relies on the current and voltage information, is further designed. Besides, the proposed approach takes lower computational complexity, as well as simpler parameter tuning steps, which offers significant benefits for real-time applications in industrial fields. Finally, experiments are conducted to validate the feasibility and superiority of the proposed approach.
科研通智能强力驱动
Strongly Powered by AbleSci AI