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Journal of Engineering
Volume 2013, Article ID 982354, 7 pages
Research Article

Parameter Optimization via Cuckoo Optimization Algorithm of Fuzzy Controller for Liquid Level Control

Department of Electrical Engineering, Islamic Azad University, Gonabad Branch, Khorasan-e-Razavi, Gonabad 96916-29, Iran

Received 28 December 2012; Revised 22 February 2013; Accepted 14 March 2013

Academic Editor: Mohammed Chadli

Copyright © 2013 Saeed Balochian and Eshagh Ebrahimi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Cuckoo optimization algorithm (COA) is one of the latest evolutionary algorithms. Finding the best optimal point, rapid convergence, and simplicity in determining algorithm parameters are some merits of COA. In this paper, COA is applied to tuning optimal fuzzy parameters for Sugeno-type fuzzy logic controllers (S-FLCs) which are used for liquid level control. A programmable logic controller (PLC) is used with fuzzy controller. For this purpose, a liquid level control set and PLC have been assembled together. MATLAB/Simulink program has been used to achieve the optimal parameters of the membership functions. The results show clearly that the optimized FLC using COA has better performance compared to manually adjustments of the system parameters for different datasets.