Paper Title:
Application of GA-FNC in Crystallizer Liquid Level Control System
  Abstract

This article discusses the control strategy of the steel casting system which possesses the characteristics of large inertia, time-varying and nonlinear. Aiming at getting the minimum deviation of liquid level, the control strategy uses the genetic algorithm to off-line optimize the parameters (cij,bj) of the Gaussian membership function and the network structure of fuzzy controller which affect the overall system firstly. Then, BP algorithm is used to online regulate and optimize the weight parameters of the control output which affect the system partly. Finally, the intelligent control system of the liquid level which is based on GA-FNC is simulated. The results show that the method can enhance the ability of self-learning and robustness of the system greatly and improve the stability of steel casting system significantly.

  Info
Periodical
Advanced Materials Research (Volumes 199-200)
Edited by
Jianmin Zeng, Zhengyi Jiang, Taosen Li, Daoguo Yang and Yun-Hae Kim
Pages
1777-1780
DOI
10.4028/www.scientific.net/AMR.199-200.1777
Citation
M. Li, D. Y. Yang, "Application of GA-FNC in Crystallizer Liquid Level Control System", Advanced Materials Research, Vols. 199-200, pp. 1777-1780, 2011
Online since
February 2011
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: Zhao Hui Shi, Cheng Zhi Wang
Abstract:In this paper, we take characteristics of wastewater treatment and process technology, drawing on the effectiveness of thetraditional PID...
339
Authors: Sue Wang
Abstract:This paper introduces the idea of fuzzy self-adaptive PID algorithm. In order to compare the control effects of traditional PID, fuzzy...
651
Authors: Xiao Li, Xiao Hua Yang
Abstract:Considering the nonlinear and time-variable characteristics of the injection cylinder system of hydraulic injection molding machine (HIMM), a...
1117
Authors: Zheng Mei Cheng, Xiao Ding Guo, Xiao Ke Chen, Jing Xin Deng
Abstract:The voltage stability of test power source system about small locomotive is poor, and the response speed is slow. The theory of adaptive...
240