Paper Title:
Fuzzy Neural Network Controller Based on Improved Genetic Algorithm for Temperature of Glass Tempering and Annealing Process
  Abstract

The temperature control of the glass tempering and annealing process has characteristics of time-varying parameters,nonlinear and big lag. It is difficult to meet the expected control effect with the common control method. To solve this problem,this paper puts forward a kind of fuzzy neural network controller optimized by genetic algorithm. First,it uses neural network to construct fuzzy logic system according to the structure equivalence rule,thus the optimization of fuzzy control rules and membership functions can be realized by finding the weight value of the neural network. Then,it uses the improved genetic algorithm to find the global optimum weighted factors with a high speed so to improve the performance of the controller. The simulation results show that the optimized fuzzy neural network controller can obtain an excellent control performance for the nonlinearity system with time- varying parameters and lag.

  Info
Periodical
Advanced Materials Research (Volumes 154-155)
Edited by
Zhengyi Jiang, Xianghua Liu and Jinglong Bu
Pages
214-219
DOI
10.4028/www.scientific.net/AMR.154-155.214
Citation
X. K. Wang, Z. L. Sun, S. Guo, C. Q. Shen, "Fuzzy Neural Network Controller Based on Improved Genetic Algorithm for Temperature of Glass Tempering and Annealing Process", Advanced Materials Research, Vols. 154-155, pp. 214-219, 2011
Online since
October 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: K. Narita, Yasuto Hijikata, Hiroyuki Yaguchi, Sadafumi Yoshida, Junji Senzaki, Shinichi Nakashima
905
Authors: Z. Stokłosa, G. Badura, P. Kwapuliński, Józef Rasek, G. Haneczok, Józef Lelątko, Lucjan Pająk
Abstract:The crystallization and optimization of magnetic properties effects in FeXSiB (X=Cu, V, Co, Zr, Nb) amorphous alloys were studied by...
171
Authors: M.A. Abdel-Rahman, N.A. Kamel, Abdullah A. Refeay, Emad A. Badawi
Abstract:Positron annihilation lifetime (PAL) measurement is one of the most important nuclear techniques used in materials science. Electrical...
119
Authors: Ming Zhang, Jiang Hua Sui
Chapter 1: Engineering Materials, Energy Science and Dynamic System in Mechanical Engineering
Abstract:A hybrid evolution strategies algorithm based on dynamic demes is proposed in this paper. Evolutionary strategy algorithm is likely...
174
Authors: Xiao Hong Zhang, Jiang Tao Zhang
Chapter 6: Materials Engineering
Abstract:According to two parameters combination of the material thickness and air-gap depth, from the angle of pure optimization, this paper obtained...
1187