This paper proposes an event-triggered prescribed performance adaptive control for PMSM sys-tem with unmodeled dynamics,external disturbances,and the need for communication resource conserva-tion.Firstly,prescribed performance error transformation constrains the angular error within a specified range,ensuring the dynamic performance of the system.Secondly,the bad effect of uncertainties is elimina-ted by utilizing a type-2 fuzzy neural network to approximate unknown dynamics in the system.Thirdly,an event-triggered mechanism between the controller and the actuator is designed to save the communication re-sources of the controller.Then,the stability of closed-loop PMSM system is proved by Lyapunov stability the-ory and the Zeno behavior is excluded.Finally,the simulation results verify the effectiveness of our scheme.
关键词
永磁同步电机/预设性能控制/事件触发机制/二型模糊神经网络/反步控制
Key words
PMSM/prescribed performance control/event-trigger/T2FNN/backstepping control
维普
万方数据