Simulation And Application Of Intelligent PID Tuning Method

PID controller is used widely in kinds of industry circumstance for its simple structure, easy implementation and strong robustness. And as an abroad control law, PID control has not been knocked out from the emergence of different advanced arithmetics, and on the contrary, it is used for a long time, the control engineers have already accumulated a great deal of tuning experience of PID controllers' parameters. But the simple PID controllers can't get the satisfied performance, especially for the complex systems in industry circumstance, the traditional PID controllers can do nothing for them.Fuzzy control theory and GA are further studied in theory in this paper, then PID control is combined with fuzzy control and GA to be fuzzy self-adaptive PID control and PID parameters' tuning method based on Genetic Algorithm. MATLAB simulation results prove that control effects of intelligent PID control methods are good and achieve anticipated control effect. Based on the above-mentioned, a model to the electro-hydraulic servo position closed-loop control system in laboratory is set up. We compare with the simulation results of conventional PID control, fuzzy PID controll and GA PID controller in this system separately and construct mix-simulation platform based on the dSPACE real time system, then experiments are done to test control performance of many kinds of parameters tuning methods. Simulation and experimental results show that Intelligent PID tuning methods have good control effects and overmatch conventional PID tuning methods. Specially PID control based on GA is feasible and can get better control effect.