Paper Title:
ANN-Based System Identification, Modelling and Control of Gas Turbines – A Review
  Abstract

Gas Turbines (GTs) are the beating heart of nearly all industrial plants and specifically play a vital role in oil and power industries. Significant research activities have been carried out to discover accurate dynamics and to approach to the optimal operational point of these systems. A variety of analytical and experimental system identification methods, models and control systems has been investigated so far for gas turbines. Artificial neural network (ANN) has been recognized as one of the successful approaches that can disclose nonlinear behaviour of such complicated systems. This paper briefly reviews major ANN-based research activities in the field of system identification, modelling and control of gas turbines. It can be used as a reference for those who are interested to work and study in this area.

  Info
Periodical
Advanced Materials Research (Volumes 622-623)
Chapter
Chapter 7: Analysis, Modelling and Simulation Techniques in Manufacturing Processes
Edited by
R. Sivakumar
Pages
611-617
DOI
10.4028/www.scientific.net/AMR.622-623.611
Citation
H. Asgari, X. Q. Chen, M. B. Menhaj, R. Sainudiin, "ANN-Based System Identification, Modelling and Control of Gas Turbines – A Review", Advanced Materials Research, Vols. 622-623, pp. 611-617, 2013
Online since
December 2012
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Price
$35.00
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