中国电机工程学报2024，Vol.44Issue(2)：725-736,中插25,13.DOI:10.13334/j.0258-8013.pcsee.222057
多变运行工况下混合励磁轴向磁场永磁电机自适应模型预测电流控制
Adaptive Model Predictive Current Control of Hybrid Excited Axial Field Permanent Magnet Motor Under Multiple Operating Conditions
摘要
Abstract
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.关键词
混合励磁/轴向磁场永磁/参数自适应/模型预测电流控制Key words
hybrid excited/axial field permanent magnet(AFPM)/parameter adaptive/model predictive current control分类
信息技术与安全科学引用本文复制引用
徐磊,刘浩,朱孝勇,张超,范文杰..多变运行工况下混合励磁轴向磁场永磁电机自适应模型预测电流控制[J].中国电机工程学报,2024,44(2):725-736,中插25,13.基金项目
国家自然科学基金项目(51907081,51937006). Project Supported by National Natural Science Foundation of China(51907081,51937006). （51907081,51937006）
