The application of GA-based PID parameter optimization for the control of superheated steam temperature

Aiming at the characteristics as time-delay, large inertia of superheated steam temperature in the power plants, an optimal PID controller which takes the overshoot, rise time and setting time of the system as the performance indicators have been proposed. The PID parameters were optimized by the means of the genetic algorithm with real number encoding. Finally, a group of optimal PID parameters were obtained. Simulation results indicate the GA-Based PID controller in this paper still has the ability of self-learning and adaptive even the controlled object is greatly changed. The controller can acquire an ideal control effect with shorter dynamic transition time, smaller overshoot and oscillation when the controlled object is changing.