Title :
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
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;
Conference_Titel :
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5411-2
DOI :
10.1109/CIS.2009.132
