Open Access
2014 PSO-RBF Neural Network PID Control Algorithm of Electric Gas Pressure Regulator
Yuanchang Zhong, Xu Huang, Pu Meng, Fachuan Li
Abstr. Appl. Anal. 2014(SI42): 1-7 (2014). DOI: 10.1155/2014/731368


The current electric gas pressure regulator often adopts the conventional PID control algorithm to take drive control of the core part (micromotor) of electric gas pressure regulator. In order to further improve tracking performance and to shorten response time, this paper presents an improved PID intelligent control algorithm which applies to the electric gas pressure regulator. The algorithm uses the improved RBF neural network based on PSO algorithm to make online adjustment on PID parameters. Theoretical analysis and simulation result show that the algorithm shortens the step response time and improves tracking performance.


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Yuanchang Zhong. Xu Huang. Pu Meng. Fachuan Li. "PSO-RBF Neural Network PID Control Algorithm of Electric Gas Pressure Regulator." Abstr. Appl. Anal. 2014 (SI42) 1 - 7, 2014.


Published: 2014
First available in Project Euclid: 2 October 2014

zbMATH: 07022968
Digital Object Identifier: 10.1155/2014/731368

Rights: Copyright © 2014 Hindawi

Vol.2014 • No. SI42 • 2014
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