Grey Wolf Particle Swarm Optimized Pump–Motor Servo System Constant Speed Control Strategy

Aiming to solve the problems of poor dynamic response characteristics and weak anti-jamming capability conventional proportional–integral–derivative (PID) controlled pump-motor servo system (PMSS) under actual working environment, this study created a brand new hybrid grey wolf optimization (GWO) particle swarm (PSO) algorithm determine best parameters PID controller for PMSS speed control make achieve constant control. We developed GWOPSO-PID compared it with controller, GWO-PID, PSO-PID, GA-PID. In comparison other four methods, simulation experimental results demonstrate that designed had better characteristics, its rise times being reduced by 78.6%, 64.7%, 67.1%, 41.5%, respectively. Additionally, exhibits good stability robustness even in face different load circumstances, decreases re-equilibration 59.6%, 23.4%, 53.2%, 41.9%, respectively, significantly improved immunity disturbances.