Speed Fluctuation Suppression Strategy of Servo System with Flexible Load Based on Pole Assignment Fuzzy Adaptive PID

Abstract

Flexible load is widely used in servo systems, and will cause nonlinear displacement and vibration of the system and then cause speed fluctuations in the servo system motor. In order to reduce the fluctuation of system velocity, a fuzzy adaptive vibration suppression strategy based on pole assignment is proposed. Firstly, the dynamic model of the flexible-load system is established by using the assumed mode method (AMM) and the Lagrange principle. Then, according to the initial traditional PID parameters, the same real-part pole assignment method is used to improve it. Next, a fuzzy adaptive rule is designed to adjust the PID parameters after pole assignment. Finally, three different control strategies are applied to the servo-driven flexible-load system, three different conditions with the variable as the length of the flexible load are selected for numerical simulation, the output parameters of the system are obtained, and the errors are analyzed. The results show that the fuzzy adaptive PID control strategy based on pole assignment proposed in this paper makes the system have a higher working accuracy, and compared with the traditional PID control method and the improved PID control method, the vibration suppression effect of the system is more obvious, and the stability of the system can be increased by about 10%, which fully demonstrates the effectiveness of the control strategy proposed in this paper.