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An Optimal Fuzzy Logic Controller tuned with Artificial Immune System

Omkar, SN and Ramaswamy, Nikhil and Ananda, R and Venkatesh, NG and Senthilnath, J (2013) An Optimal Fuzzy Logic Controller tuned with Artificial Immune System. In: 7th International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), DEC 14-16, 2012, ABV Indian Inst Informat Technol & Management Gwalior, Madhya Pradesh, INDIA, pp. 507-518.

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Official URL: http://dx.doi.org/10.1007/978-81-322-1038-2_43

Abstract

In this paper, a method for the tuning the membership functions of a Mamdani type Fuzzy Logic Controller (FLC) using the Clonal Selection Algorithm(CSA) a model of the Artificial Immune System(AIS) paradigm is examined. FLC's are designed for two problems, firstly the linear cart centering problem and secondly the highly nonlinear inverted pendulum problem. The FLC tuned by AIS is compared with FLC tuned by GA. In order to check the robustness of the designed PLC's white noise was added to the system, further, the masses of the cart and the length and mass of the pendulum are changed. The PLC's were also tested in the presence of faulty rules. Finally, Kruskal Wallis test was performed to compare the performance of the GA and AIS. An insight into the algorithms are also given by studying the effect of the important parameters of GA and AIS.

Item Type: Conference Paper
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Additional Information: Copyright for this article belongs to SPRINGER-VERLAG BERLIN, GERMANY.
Keywords: Fuzzy logic Controller;Artificial Immune System;Genetic Algorithms
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)
Date Deposited: 18 Mar 2013 05:06
Last Modified: 27 Mar 2013 06:25
URI: http://eprints.iisc.ernet.in/id/eprint/46087

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