A Novel Control Method Based on Fuzzy Neural Network

Author

Xing Lixin ; Gao Shanqing ; Chen Yunfei

Author_Institution

Artillery Acad. of the People´s Liberation Army, Hefei, China

Volume

1

fYear

2009

fDate

11-14 Dec. 2009

Firstpage

237

Lastpage

239

Abstract

A novel controller based on fuzzy model is proposed in this paper, which applies field data to model the control object, and then uses the model to adjust the parameters of gauss basis function in RBF controller, such as the central value, the width, and the weights from hidden layer to output layer. In addition, the controller is applied to control the bed temperature of CFB boilers. By comparison with the traditional PID controllers, the simulation result shows that the given controller has shorter response time and better tracking performance.

Keywords

Gaussian processes; boilers; fluidised beds; fuzzy control; fuzzy neural nets; radial basis function networks; temperature control; CFB boilers; PID controllers; RBF controller; bed temperature control; fuzzy model; fuzzy neural network; gauss basis function; Boilers; Centralized control; Control system synthesis; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Neurons; Temperature control; Three-term control; RBF control; bed temperature component; fuzzy neural model;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security, 2009. CIS '09. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-5411-2

Type

conf

DOI

10.1109/CIS.2009.132

Filename

5376616