Adaptive Model Predictive Current Control of Hybrid Excited Axial Field Permanent Magnet Motor Under Multiple Operating Conditions

被引：0
|
作者：
Xu L. [1 ]
Liu H. [1 ]
Zhu X. [1 ]
Zhang C. [1 ]
Fan W. [1 ]
机构：
[1] School of Electrical and Information Engineering, Jiangsu University, Jiangsu Province, Zhenjiang
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2024年 / 44卷 / 02期
基金：
中国国家自然科学基金;
关键词：
axial field permanent magnet (AFPM); hybrid excited; model predictive current control; parameter adaptive;
D O I：
10.13334/j.0258-8013.pcsee.222057
中图分类号：
学科分类号：
摘要：
In view of the non-linear parameter variation of the hybrid excited axial field permanent magnet (HE-AFPM) motor caused by the vector coupling effect between the excitation and armature flux, the end leakage flux effect, and etc. in multiple operating modes, an adaptive model predictive current control method is proposed in this paper. The machine topology and parameter variation characteristics of the HE-AFPM motor are analyzed in detail. The multi-vector model predictive current control is introduced, and the sensitivity of the HE-AFPM motor parameters to the control system is theoretically derived. On this basis, the multi-vector predictive model is adopted to the adjustable model of the adaptive control, which reduces the complexity of the control algorithm and the computational load of the control system. In addition, according to Popov's hyper-stability theory, three-inequalities stability criterion is introduced to design the adaptive law of each parameter. In this way, the parameters including flux linkage, self-inductance, and mutual inductance are effectively identified. And then, the accuracy of the control model and the current tracking performance are improved. Finally, the effectiveness of the proposed adaptive model predictive current control is verified by the experiments. ©2024 Chin.Soc.for Elec.Eng.
引用
收藏
页码：725 / 736
页数：11
相关论文
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