Application of grey self-tuning fuzzy immune PID control for main steam temperature control system

The prominent virtues of grey prediction are small information, few data and a little of computation. The conventional PID controller has strong robustness, sophisticated technology and simple structure, so it has been used widely in the process control. With the adjustable role of feedback response of biological immune systems, the capability of simulating non-linear functions with fuzzy rationalizing logic, and the advantage of gray prediction, an application of fuzzy immune PID control with gray prediction has been proposed. In view of the grey-step having great effect to the results of forecast, the fuzzy rules are used to adjust the forecast step, which is a very good supplement to the grey prediction. The method mentioned in this paper is applied to the main steam temperature control system of power plant, the simulation shows that this strategy has strong capability of anti-disturbance.