控制理论(社会学)
模型预测控制
参数统计
非线性系统
逆变器
电流(流体)
非线性模型
控制工程
工程类
计算机科学
控制(管理)
物理
电压
数学
电气工程
统计
人工智能
量子力学
作者
Xiaodong Sun,Zhihui Huang,Zebin Yang,Gang Lei,Teng Li
标识
DOI:10.1109/tie.2025.3552258
摘要
To improve the control performance of permanent magnet synchronous motor (PMSM) drive systems, an improved model-free predictive current control based on extended state observer (ESO) with voltage source inverter (VSI) nonlinearity compensation is proposed. First, an improved model-free predictive current control (MFPCC) based on the ESO of PMSM drives is introduced, which does not require motor parameters and needs less tuning work. Then, a voltage source inverter nonlinearity compensation method is proposed to reduce the current distortion resulting from the added dead time in the three-phase bridge voltage source inverter. The approximate parameters are obtained through adjusting in the simulation, and then applied to the experiment for further fine-tuning. The model-free control based on ESO and voltage source inverter (VSI) nonlinearity compensation are combined to compensate for their respective shortcomings, achieving the suppression of periodic and aperiodic disturbances in the system. Finally, the experimental results prove its robustness to both periodic and aperiodic disturbances.
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