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An adaptive synergetic controller applied to heavy-duty gas turbine unit
Sharifi, A ; Sharif University of Technology | 2023
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- Type of Document: Article
- DOI: 10.1016/j.apenergy.2022.120535
- Publisher: Elsevier Ltd , 2023
- Abstract:
- The accurate control of a gas turbine usually requires precise information of its nonlinear model, as well as all states and the parameters. To access the information of the model, an accurate estimation and compensation of the variables of the gas turbine in the controller architecture are vital. In this study, an adaptive model-based controller using the synergetic approach is utilized to control the generated power and exhaust temperature for a heavy-duty gas turbine power generator unit. For this purpose, first, the problem of the controllability of the nonlinear gas turbine is studied. Then, performance of the proposed controller is compared with a classical PI and well-known nonlinear control methods. Next, a sensitivity analysis regarding the parameters of the gas turbine model is performed, and its critical parameter is identified. These variables are estimated based on an extended Kalman filter and then compensated in the adaptive synergetic controller algorithm. The results demonstrate the effectiveness of the synergetic approach when the components of the gas turbine states and its critical parameter are compensated within the proposed control architecture. © 2022 Elsevier Ltd
- Keywords:
- Gas turbine ; Lyapunov stability theory ; Modeling error ; Nonlinear model-based controller ; State estimation ; Synergetic control
- Source: Applied Energy ; Volume 333 , 2023 ; 03062619 (ISSN)
- URL: https://www.sciencedirect.com/science/article/abs/pii/S0306261922017925