Based on the BP Neural Network-PID Series Control Boiler Main-Steam Temperature System Research

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 354-355)
• Pages: 968-973
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.354-355.968
• Online since: October 2011
• Authors: Wen Zhu, Jian Ping Sun
• Keywords: BP Neural Network (BPNN), Main-steam Temperature Control, PID

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