Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
International Journal of Soft Computing
Year: 2007  |  Volume: 2  |  Issue: 5  |  Page No.: 599 - 605

Genetic Algorithm Based Gain Scheduled Fuzzy Logic Controller for an Unknown Process

P. Melba Mary and N.S. Marimuthu    

Abstract: This study proposes a novel approach based on genetic algorithm optimized fuzzy logic controller, for the design of a temperature control process, capable of providing optimal performance over the entire operating range of the process. Since an optimum response of the Fuzzy Controller can be expected only for a limited range of inputs, here tuning the input , output gains and the scaling factor are done for other ranges of inputs. The proposed control system combines the advantages of Genetic Algorithm and Fuzzy Logic Control schemes. In order to evaluate the performance of the proposed control system methods, results from simulation of the process are presented.

Fulltext    |   Related Articles   |   Back
   
 
 
 
  Related Articles

 
 
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility