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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 622-623ANN-Based System Identification, Modelling and...

ANN-Based System Identification, Modelling and Control of Gas Turbines – A Review

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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.

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Manufacturing Science and Technology III

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Periodical:

Advanced Materials Research (Volumes 622-623)

Pages:

611-617

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.622-623.611

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Cite this paper

Online since:

December 2012

Authors:

Hamid Asgari, Xiao Qi Chen, Mohammad Bagher Menhaj, Raazesh Sainudiin

Keywords:

Artificial Neural Network (ANN), Control, Gas Turbine, Modeling, Neural Network (NN), System Identification

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