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

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 354-355)

Edited by:

Hao Zhang, Yang Fu and Zhong Tang

Pages:

968-973

DOI:

10.4028/www.scientific.net/AMR.354-355.968

Citation:

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

Online since:

October 2011

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Price:

$35.00

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