模型预测控制
控制理论(社会学)
电流(流体)
同步电动机
材料科学
控制(管理)
物理
工程类
计算机科学
电气工程
人工智能
作者
Changming Zheng,Miao Xie,Xuanxuan Dong,Zheng Gong,Tomislav Dragičević,José Rodríguez
出处
期刊:IEEE Journal of Emerging and Selected Topics in Power Electronics
[Institute of Electrical and Electronics Engineers]
日期:2024-05-31
卷期号:12 (4): 3848-3861
标识
DOI:10.1109/jestpe.2024.3408070
摘要
LC-filtered permanent magnet synchronous motor (LC-PMSM) system is suitable for long-cable drives but it has inherent resonant stability issues. This paper presents a modulated model predictive current controller with active damping (AD-M2PCC) for stabilizing the LC-PMSM drive system. First, to avoid the complex exponentiation operations in typical MPCC, a simplified reduced-order predictive model is constructed and a baseline MPCC is derived based on inverter-side current reference tracking, reducing the computational burden and enhancing the robustness to the model mismatches. Then, a capacitor-current-feedback AD is integrated into MPCC for resonance suppression. It has an intuitive damping concept and only one design parameter, significantly lessening the tuning effort. Further, a low-complexity AD-M2PCC scheme is established, which features simple implementation, improved steady-state performance and effective resonance damping. Comparative experimental results are provided to verify the feasibility of the proposed control scheme.
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