摘要
电动汽车永磁同步电动机(PMSM)驱动系统运行在复杂多变的工况条件下,由此引起的电机参数不确定性将直接影响基于经典PI控制的PMSM驱动系统性能。为此,引入基于数据驱动的无模型控制,同时为了简化控制器结构和提升控制精度,创新性地将无模型控制与扩张状态观测器(ESO)设计相结合,首先建立面装式永磁同步电动机(SMPMSM)的超局部模型,再设计SMPMSM交、直轴定子电流的无模型控制器,架构基于ESO的无模型控制的SMPMSM驱动系统。最后,通过系统建模和与基于经典PI控制的SMPMSM驱动系统的仿真对比研究,分析建议的SMPMSM驱动系统的动、静态性能及其抗参数变化的鲁棒性再给出结论。
The permanent magnet synchronous motor（ PMSM） drive system of electric vehicle operates under complicated and changeable working conditions,parametric uncertainties will appear and will directly affect the performance of PMSM drive system based on classical PI control. Therefore,the data-driven model-free control（ MFC） was introduced,the extended state observer（ ESO） was innovatively combined with MFC to simplify the controller structure and improve control accuracy. Firstly,the ultra local model of surface mounted PMSM（ SMPMSM） was built up,then the d-q axis MFC current controller of SMPMSM drive system was designed and the model-free controlled SMPMSM drive system with ESO were constructed. Finally,by system modeling and comparative research with the classical PI controlled SMPMSM drive system,the dynamic and static performance of proposed SMPMSM drive system and its robustness against parametric uncertainties was analyzed and some valuable conclusions are shown.
出处
《微特电机》
北大核心
2017年第1期58-61,共4页
Small & Special Electrical Machines
基金
国家自然科学基金项目(51377041)
