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Using Fuzzy Logic to Control Combined Cycle Gas Turbine During Ambient Computing Environment

Using Fuzzy Logic to Control Combined Cycle Gas Turbine During Ambient Computing Environment

Mostafa A. Elhosseini
Copyright: © 2020 |Volume: 11 |Issue: 3 |Pages: 25
ISSN: 1941-6237|EISSN: 1941-6245|EISBN13: 9781799805731|DOI: 10.4018/IJACI.2020070106
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MLA

Elhosseini, Mostafa A. "Using Fuzzy Logic to Control Combined Cycle Gas Turbine During Ambient Computing Environment." IJACI vol.11, no.3 2020: pp.106-130. http://doi.org/10.4018/IJACI.2020070106

APA

Elhosseini, M. A. (2020). Using Fuzzy Logic to Control Combined Cycle Gas Turbine During Ambient Computing Environment. International Journal of Ambient Computing and Intelligence (IJACI), 11(3), 106-130. http://doi.org/10.4018/IJACI.2020070106

Chicago

Elhosseini, Mostafa A. "Using Fuzzy Logic to Control Combined Cycle Gas Turbine During Ambient Computing Environment," International Journal of Ambient Computing and Intelligence (IJACI) 11, no.3: 106-130. http://doi.org/10.4018/IJACI.2020070106

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Abstract

The main aim of this article is to analyse and control a combined cycle gas turbine (CCGT) under normal and perturbation loading using a Fuzzy Logic Control (FLC) and an Adaptive Neuro-Fuzzy Inference System (ANFIS) through an ambient computing environment. The main characteristics of ambient computing is invisible, embedded, easy to use, and adaptive to name a few. The current article proposes the employment of FLC and to control the operation of CCGT considering the system inputs uncertainty. The target of the FLC is to maintain the system speed, exhaust temperature, and airflow within the desired interval. ANFIS helps to get the optimal control parameter and construct the proper rule base with an appropriate membership function with reasonable accuracy. The simulation results demonstrate the ANFIS controller's superior performance over FLC as well as the traditional controller for normal operating conditions and load perturbation.

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