Design of DE-tuning PID controller for linear servo system

Differential evolution algorithm was applied to tune PID parameters for speed control of the permanent magnet linear motor(PMLM). To improve the bad robustness due to fixed control parameters of basic Differential Evolution (DE), a self-adaptive strategy for crossover probability constant CR was proposed in terms of the convergence status of the target vector. The simulation experiment based on MATLAB/ Simulink was carried out. The result shows that, compared with traditional PID control, the static and dynamic performance of the system are improved by the optimized controller. Moreover, the speed overshoot decreases and the speed re-stabilizes quickly when load changes.