Fuzzy-GA inference technique to control three-input jet ejector system. (1st January 2014)

• Record Type: Journal Article
• Authors: Batayneh, Wafa; Al-Nimer, Mohammad; Nazzal, Mohammad
• Is Part Of: International journal of modelling, identification and control. Volume 21:Number 1(2014)
• Page Start: 101
• Page End: 109
• Publication Date: 2014-01-01
• Subjects: fuzzy logic -- genetic algorithm -- jet ejector; Engineering -- Methodology -- Periodicals; Science -- Methodology -- Periodicals; 001.42
• Languages: English
• ISSNs: 1746-6172

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.