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基于SMO和RLS的航空电推进永磁电机驱动系统 被引量:3

Research on Sensorless Control of SPMSM in Aviation Electric Propulsion Drive System Based on SMO and RLS
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摘要 针对大功率航空电推进驱动系统高可靠性和轻量化特性的需求,本文提出了一种基于滑模观测器(SMO)和递推最小二乘法(RLS)的多模式无位置传感器控制策略。首先通过SMO对扩展反电动势进行观测,并对转速估算值进行多模式处理,实现了快速、准确地提取出电机的转子位置角及转速等信息;再由RLS对永磁体磁链等参数进行辨识,依据辨识结果对控制器中的相关控制参数进行整定,并对观测器参数进行更新,提高了系统的鲁棒性。本文对300kW的永磁同步电机电推进驱动系统进行了实例仿真,验证了所提方案的有效性。本文所提出的方案可以实现可靠的无位置传感器驱动控制,具有快速的动态性能和较高的鲁棒性,为相关航空电推进驱动系统控制方案的设计和研究提供了参考。 Aiming at the operating requirements of high-power aero electric propulsion drive system in high-speed situation,a multi-mode sensorless control strategy based on sliding mode observer(SMO)and recursive least squares(RLS)is proposed.First,the back electromotive force(back-EMF)is observed through SMO,and the observed value is processed in different modes according to the rotor speed,and the information of position and rotor speed can be estimated quickly and accurately.Then,the parameters such as the permanent magnet flux linkage are identified by RLS,and the related parameter values in SMO and the PI controllers are updated according to the identification results,where the parameter robustness of the system is greatly improved.Simulations are carried out in a 300kW permanent magnet synchronous motor(PMSM)to verify the effectiveness of the proposed strategy.The scheme proposed in this paper can achieve reliable sensorless drive control with fast dynamic performance and high robustness,which provides basis for the design and research on related control schemes for aero electric propulsion drive system.
作者 王宏喆 甘醇 倪锴 何琪 曲荣海 Wang Hongzhe;Gan Chun;Ni Kai;He Qi;Qu Ronghai(State Key Laboratory of Advanced Electromagnetic Engineering and Technology,Huazhong University of Science and Technology,Wuhan 430074,China;Key Laboratory of Aviation Science and Technology on Aerospace Power System,Xi’an 710000,China)
出处 《航空科学技术》 2023年第1期97-104,共8页 Aeronautical Science & Technology
基金 航空科学基金(20200040079002)。
关键词 航空电推进驱动系统 永磁同步电机 无位置传感器控制 滑模观测器 递推最小二乘法 aero electric propulsion drive system PMSM sensorless control SMO RLS
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