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Tuning and implementation of fuzzy logic controller using simulated annealing in a nonlinear real-time system
Published in IEEE
Pages: 916 - 921
Tuning a controller for any process purely depends on the process dynamics. Improper selection of controller parameters could spoil the entire design. Selecting a tuning technique to achieve a desired response could be dealt as an optimization problem. This paper deals with the tuning of a fuzzy logic controller using Simulated Annealing to minimize the Mean Square Error between the desired and actual output of a nonlinear system. The proposed algorithm is tested on a real time ball beam system and the results are compared with the simulated responses. By using this method best results are obtained by using less number of fuzzy membership functions. © 2014 IEEE.
About the journal
JournalData powered by Typeset2014 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2014]
PublisherData powered by TypesetIEEE
Open Access0