Application Of Self-adapting PID Controller Based On GA In Controll System

The main steam temperature is to run the process need to monitor and control is one of the important parameters, thermal power plant main steam temperature control system with large inertia, large time delay and time varying characteristics, and leads to the main steam temperature variation of many factors, so that the system becomes very complex. The conventional PID cascade control is most thermal power plant main steam temperature control used in the control method, but the effect is not very good.This paper based on genetic algorithm and fuzzy control combined with adaptive PID controller, its control effect is better than conventional PID control system, the controlled object parameters change greatly and the system with disturbance, can achieve good dynamic, static characteristics. Based on genetic algorithm and fuzzy control adaptive PID controller, to main steam temperature control play a very good role.