International Journal of Science and Technology

International Journal of Science and Technology>> Volume 7, Number 7, July 2017

International Journal of Science and Technology


An Improved Model for Jet Engine Fuel Control System Using Genetic Algorithm and Particle Swarm Optimization

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Author Majid Mehradfar, AlirezaSedaghati
On Pages 93-100
Volume No. 4
Issue No. 5
Issue Date May 01, 2014
Publishing Date May 01, 2014
Keywords jet engine, fuel control system, genetic algorithm, PSO


Abstract

Today the most important issue in the jet airplanes flights is the security and optimal use of fuel. In this paper at the first simulate the fuel control system of a jet engine using an appropriate mathematical model. This model is a nonlinear model evaluate with a criteria that named the best compatibility and compared with another model which is linear. This criteria proves that nonlinear model have better accuracy. Then using intelligent algorithms like Genetic Algorithm and Particle swarm optimization (PSO) and with the aid of MATLAB design a PID controller for this model. Finally compare the designed controller with formers controller and the basic system with the help of data that results from Simulink. The compares prove that controller which used in this paper have better response in comparison with past controllers. We compared step unit response of the systems. Some parameters like rise time, setteling time, overshoot compared in this paper. The results prove an acceptable advantage of this controller than the formers.

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2014 IRPN Publishers