bullet Sensors & Transducers Journal

    (ISSN 1726- 5479)

205.767

2008 e-Impact Factor

              Editorial Calendar 2013

              Editorial Board

              Submit an Article

              Best Selling Articles 2012

              10 Top Sensors Products of 2011

              25 Top Downloaded Articles

              Submit Press Release

              Submit White Paper

              Journal Subscription 2013

Sensors & Transducers journal's cover

Sensors & Transducers Journal 2011

Sensors & Transducers Journal 2010

Sensors & Transducers Journal 2009

Sensors & Transducers Journal 2008

Sensors & Transducers Journal 2007

2000-2002 S&T e-Digest Contents

2003 S&T e-Digest Contents

2004 S&T e-Digest Contents

2005 S&T e-Digest Contents

2006 S&T e-Digest Contents

 

Best Articles 2011

 

 

 

Vol. 16, Special Issue, November 2012, pp. 75-83

 

Bullet

 

Coke Oven Heating Model of Fuzzy Intelligent Control System

 

Guozhang Jiang, Gongfa Li, Jianyi Kong and Liangxi Xie

College of Machinery and Automation,

Box 242, Wuhan University of Science and Technology, Wuhan, 430081, China

Tel.: +86-027-68862283

E-mail: whjgz@wust.edu.cn

 

 

Received:11 September 2012   /Accepted: 11 October 2012   /Published: 20 November 2012

Digital Sensors and Sensor Sysstems

 

Abstract: Coke oven production has the characteristics of nonlinear, large inertia, large disturbances, and highly-coup ling and so on. The control method of “intermittent heating control” is adopted in traditional heating control system of coke oven, and cannot satisfy the command of heating control on coke oven. The control principle of combining the “intermittent heating control” with the heating gas flow adjustment is adopted according to analysis the difficulty and strategy of heating control on coke oven. On the basis of studying deficiency of the existing control strategy, fuzzy compound control is proposed to establish heating intelligent control model of coke oven, which combines feedback control, feedforward control and fuzzy intelligent control. Carbonization index CI is used in the model to control coking management of coke oven. Then heating fuzzy intelligent control structure of coke oven is built. According to artificial experience and actual condition, fuzzy controller is designed. Fuzzy control can deal with fuzzy, inexact or uncertainty information and has great robust, which can realize intelligent control of heating process of coke oven. Better control result of temperature control is realized by fuzzy intelligent control model. The system has great practical value.

 

Keywords: Coke oven heating model, Fuzzy intelligent control, Intelligent control system

 

 

Buy this article online (it will be send to you in the pdf format by e-mail) or subscribe Sensors & Transducers journal

(12 issues per year plus special issues; 40 % discount for payment IFSA Members):

 

Buy this journal issue in pdf format
only for 79.95 $ US:

Sensors & Transducers journal subscription

450 $ US per year:

Buy this article for
14.95 $ US:

 

 

Alternatively we accept a money transfer to our bank account. Please contact for details: sales@sensorsportal.com

 

Download <here> the Library Journal Recommendation Form

 

 

 

 

 


1999 - 2012 Copyright ©, International Frequency Sensor Association (IFSA). All Rights Reserved.


Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn