International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
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.
How to cite this article:
P. Melba Mary and N.S. Marimuthu . Genetic Algorithm Based Gain Scheduled Fuzzy Logic Controller for an Unknown Process.
DOI: https://doi.org/10.36478/ijscomp.2007.599.605
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2007.599.605