PID Control of Double-Loop Speed Control System Based on Bacteria-Particle Swarm Hybrid Optimization Algorithm

Abstract

In order to improve the performance of dual-loop speed control system and overcome the defect of the traditional PID controller parameter tuning, a hybrid algorithm(BF-PSO) of Bacterial Foraging Optimization (BFO) algorithm and Particle Swarm Optimization(PSO) algorithm is proposed in this paper, and applied to PID parameter tuning of the double-loop speed control system. This algorithm combines the fast convergence characteristics of PSO and strong global search ability of BFO. Compared with the simulation results of the PSO and BFO, BF-PSO has better speed tracking performance, and higher convergence speed and robustness.