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http://hdl.handle.net/20.500.12358/24642
TitleDesigning Adaptive Control Based on Bacteria Foraging Optimization
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Abstract

This paper presents a model reference adaptive control (MRAC) based on bacteria foraging optimization algorithm (BFOA) to control maglev model CE152 which is unstable nonlinear system. An adaptive controller is designed to keep the magnetic ball suspended in the air counteracting the weight of the object. A MRAC based on BFOA to control of this system is designed and simulated using Matlab/Simulink. The results are compared with Fuzzy Logic (FL) control, and Fuzzy Logic based Genetic Algorithm (GA) control. The proposed approach outperformed all other approaches in terms of overshoot, rise and settling time and steady state error.

Authors
Elaydi, Hatem A.
AL Ghamri, Ramzi J
TypeJournal Article
Date2017
Published inInformation and Communication Technology (PICICT), 2017 Palestinian International Conference on
PublisherIEEE
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  • Staff Publications- Faculty of Engineering [908]
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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