Gray predictive adaptive Smith-PID control and its application

The superheated steam temperature system has the characteristics of high inertia, large delay and time-varying parameters. In this paper, adaptive Smith-PID based on gray prediction was used to deal with these problems. Adaline neural network was used to identify the objectpsilas gain and delay in order to overcome the defectiveness of time-varying parameters. Gray prediction module in the feedback loop, which can predict multiple steps of the feedback, can regulate the system previously. The gray predictive control can overcome the influences of model mismatch and enhance the robustness of the system. The simulation of superheated steam temperature system proved that the new method has effective control performance.