Superheated Steam Temperature Implicit Generalized Predictive Control Based On Elman Network
ZHOU Hong-yu, ZHANG Jian(Chongqing University, Chongqing 400044,China)
The superheated steam temperature has the character of timevarying, large delay, large inertia. It is very difficult to acquire the satisfied effect by traditional PID controller. Aiming at the problem the system of superheated steam temperature implicit generalized predictive control based on Elman network is presented. The system adopts Elman network as the predictive model and identifies the parameters of controller directly when solving the control increment. So the system can model the object easily and has the little quantity of calculation. The result of simulation indicates that the control system has the perfect capability.
【CateGory Index】： TK323