Electric Furnace Control System Based on the Grey Prediction Fuzzy Adaptive Control

Because electric furnace system is characterized by their large inertia, nonlinear, long time delay and time-varying property, it is rather difficult to obtain satisfactory control results with conventional PID control methods. Based on advantages of the fuzzy adaptive control and gray prediction control, grey prediction fuzzy adaptive controller was proposed. Prediction value substitutes measured value, so the consequence of the control signal delay was minimized. Simulation study results showed that control systems based on this method could attain high quality, was capable of adapting itself to variations of the controlled plant´s parameters, and was featured by strong robustness and self-adaptability, compared with conventional PID control.