Title: Fuzzy-GA inference technique to control three-input jet ejector system

Authors: Wafa Batayneh; Mohammad Al-Nimer; Mohammad Nazzal

Addresses: Department of Mechanical Engineering, Faculty of Engineering, Jordan University of Science and Technology, Irbid 22110, Jordan ' Department of Mechanical Engineering, Faculty of Engineering, Jordan University of Science and Technology, Irbid 22110, Jordan ' Department of Mechanical Engineering, Faculty of Engineering, Jordan University of Science and Technology, Irbid 22110, Jordan

Abstract: Jet ejectors find many applications in thermal systems including refrigeration, heat treatment, and fuel injection. In this study, a three-input jet ejector model is developed and the resulting non-linear governing equations are used to design the corresponding controller. A fuzzy-based genetic algorithm (fuzzy-GA) technique is used to represent and control the system using linguistic fuzzy sets, which are tuned using a genetic algorithm code. The proposed controller is tested on different fluid types where simulation results showed the effectiveness and robustness of the technique.

Keywords: fuzzy logic; genetic algorithms; steam jet ejectors; heat exchange; thermal systems; fuzzy inference; ejector control; controller design; linguistic fuzzy sets; simulation; fluid flow; mathematical modelling; nonlinear modelling; fuzzy logic controllers; FLC; fuzzy control.

DOI: 10.1504/IJMIC.2014.059398

International Journal of Modelling, Identification and Control, 2014 Vol.21 No.1, pp.101 - 109

Published online: 07 Jun 2014 *

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