Fuzzy Controller Optimization of Synchronous Belt Drive System Based on Improved whale Optimization Algorith

Synchronized belt drive system is a complex nonlinear system, and ordinary PID control is difficult to meet the performance requirements, so it is necessary to design a controller with better performance. In this paper, a fuzzy PID controller is designed, and an improved whale optimization algorithm with adaptive selection mechanism and adaptive convergence factor is proposed. The proposed algorithm is used to optimize the rule base of the fuzzy controller. Compared with the ordinary PID controller and the fuzzy PID controller optimized by whale optimization algorithms and the non-optimized fuzzy PID controller, the fuzzy PID controller optimized by improved whale optimization algorithms has smaller steady-state error and faster response speed, and can meet the actual engineering needs.