Proceedings ArticleDOI
Tuning and implementation of fuzzy logic controller using simulated annealing in a nonlinear real-time system
S. Tharun Kumar,B. Jaganatha Pandian +1 more
- pp 916-921
TLDR
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.Abstract:
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.read more
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References
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Tuning of a neuro-fuzzy controller by genetic algorithm
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Journal ArticleDOI
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Radu-Emil Precup,Radu-Codru David,Emil M. Petriu,Mircea-Bogdan Rdac,Stefan Preitl,János Fodor +5 more
TL;DR: This paper suggests the optimal tuning of low-cost fuzzy controllers dedicated to a class of servo systems by means of three new evolutionary optimization algorithms: Gravitational Search Algorithm, Particle Swarm Optimization algorithm and Simulated Annealing algorithm.
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