Paper Title:
Fuzzy-Based Gas Turbine Engine Fuel Controller Design Using Particle Swarm Optimization
  Abstract

This paper presents the application of Particle Swarm Optimization (PSO) algorithm for optimization of the Gas Turbine Engine (GTE) fuel control system. In this study, the Wiener model for GTE as a block structure model is firstly developed. This representation is an appropriate model for controller tuning. Subsequently, based on the nonlinear GTE nature, a Fuzzy Logic Controller (FLC) with an initial rule base is designed for the engine fuel system. Then, the initial FLC is tuned by PSO with emphasis on the engine safety and time response. In this study, the optimization process is performed in two stages during which the Data Base (DB) and the Rule Base (RB) of the initial FLC are tuned sequentially. The results obtained from the simulation show the ability of the approach to achieve an acceptable time response and to attain a safe operation by limiting the turbine rotor acceleration.

  Info
Periodical
Chapter
Chapter 15: Meso/Micro Manufacturing Equipment and Processes
Edited by
Wu Fan
Pages
3215-3222
DOI
10.4028/www.scientific.net/AMM.110-116.3215
Citation
M. Montazeri-Gh, E. Mohammadi, S. Jafari, "Fuzzy-Based Gas Turbine Engine Fuel Controller Design Using Particle Swarm Optimization", Applied Mechanics and Materials, Vols. 110-116, pp. 3215-3222, 2012
Online since
October 2011
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Price
$35.00
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