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Comparative steam turbine in thermal power plant between Hybrid model (Adaptive Neuro - Fuzzy) and PI controller


Article Information

Title: Comparative steam turbine in thermal power plant between Hybrid model (Adaptive Neuro - Fuzzy) and PI controller

Authors: Khalid Faisal Sultan, Hosham Salim Anead, Malak Moneeryounis

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2018

Volume: 13

Issue: 18

Language: English

Categories

Abstract

The research displays a new approach to control dynamic parameters of the steam turbine for thermal power plant AL - Dura (K- 160 -138.7 - 0. 068) using Hybrid (Adaptive neuro fuzzy inference system) and PI to make comparative to get optimization controller between them, by using Matlab - Simulink (2014a). parameters of turbine are input variable of temperature should be 550°C to keep blades, input of speed that’s work in steady state is max3000 r. p. m , humidity that’s allowed in steady state is 0.12,and pressure that’s worked in all sections of turbine begin 140 bar. The performance of ANFIS controller was performed in MATLAB / SIMULINK platform and analyzed in terms of tracking the parameters (Humidity, Speed, Pressure, and Temperature). The simulation results, it was showed that the proposed ANFIS controller was the better solution from PI controller for parameters in steam turbine regulation.


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