Tuning PID control parameters on hydraulic servo control system based on chaos quantum-behaved particle swarm optimization algorithm

The PID control parameters are very important to performance of hydraulic servo control system and how to find rapidly the optimum values of PID control parameters is very difficult problem. To overcome the problem of low convergence speed and sensitivity to local convergence with the traditional quantum-behaved particle swarm optimization (QPSO) to handle optimum problem, a novel method of judging the local convergence by the variance of the population´s fitness was proposed, and the chaos quantum-behaved particle swarm optimization algorithm (CQPSO) was proposed. The program CQPSO1.0 was developed. Based on Matlab/simulink software and taking the IATE standards of optimization design as objective function, the proposed method was applied for the optimization of the three parameters of PID controller of electric-hydraulic servo system of 6-DOF parallel platform. Simulation results show that the proposed parameter optimum method is an effective tuning strategy and has good performance.