Generalized predictive control algorithm applied to thermal power units based on PID neural network

Large-scale Generating Unit in heat power is a system which is complex nonlinear, multivariable, time-variant with long-time delay and difficult to establish accurate model, and etc. So it is hard to make system gain optimum running effect with conventional control strategy. A PID network which has dynamic character is used to identify the coordinated control system for establishing a predictive model of generalized predictive control strategy. The Generalized predictive control strategy has some beneficial characteristics such as wide application and strong robustness. It achieves predictive control with online rolling optimization and real time feedback revision. The results of the emulation show the availability of it.