基于事件触发机制的自适应神经网络永磁同步电机跟踪控制  

Adaptive neural network tracking control of permanent magnet synchronous motor based on event trigger mechanism

作　　者：王宇 袁家信 张恒 WANG Yu;YUAN Jiaxin;ZHANG Heng(School of Air Transport,Shanghai University of Engineering and Technology,Shanghai 201620,China)

机构地区：[1]上海工程技术大学航空运输学院,上海市201620

出　　处：《农业装备与车辆工程》2023年第8期145-149,共5页Agricultural Equipment & Vehicle Engineering

摘　　要：针对具有输入时滞的永磁同步电机(PMSM)系统的信号跟踪问题,采用基于事件触发机制的自适应神经网络控制方法,能够在含有输入时滞的情况下通过该控制方法完成对永磁同步电机系统的跟踪控制。通过仿真试验证明,所提出的事件触发控制策略可以有效追踪到参考信号,并显著减少控制器的更新次数,从而延长执行器寿命,提高系统控制性能。Aiming at the signal tracking problem of permanent magnet synchronous motor(PMSM)system with input time delay,an adaptive neural network control method based on event trigger mechanism was adopted,which can complete the tracking control of PMSM system with input time delay.The simulation results showed that the proposed event trigger control strategy could effectively track the reference signal and significantly reduce the number of controller updates,thus prolonging the actuator life and improving the control performance of the system.

关 键 词：永磁同步电机系统 输入时滞 自适应神经网络控制 事件触发 

分 类 号：TM341[电气工程—电机]