Prescribed Performance Adaptive Control of PMSM with Event Trigger
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.
PMSMprescribed performance controlevent-triggerT2FNNbackstepping control