Based on the BP Neural Network-PID Series Control Boiler Main-Steam Temperature System Research
Due to the boiler main-steam temperature system exists more serious characteristics,such as much capacitive,nonlinear,time-varying and lag, so adopt cascade control strategy. This paper design a control algorithm which is based on BP neural network, it can accelerate the regulating time, and combined with the conventional PID controller, constitute the BP neural network - PID cascade control strategy. This control strategy not only contain the BP neural network control in real time system strong anti-interference ability characteristic, but also fully utilize the PID controller response speed characteristic. The simulation results show that based on the BP neural network - PID series control boiler main-steam temperature system can achieve satisfactory control effect.
Hao Zhang, Yang Fu and Zhong Tang
W. Zhu and J. P. Sun, "Based on the BP Neural Network-PID Series Control Boiler Main-Steam Temperature System Research", Advanced Materials Research, Vols. 354-355, pp. 968-973, 2012