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Optimal tuner selection using Kalman lter for a real-time modular gas turbine model

Sheikhbahaei, R ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.24200/SCI.2019.5341.1218
  3. Publisher: Sharif University of Technology , 2021
  4. Abstract:
  5. In this study, a real-time exible modular modeling approach to simulating the dynamic behavior of gas turbine engines based on nonlinear thermodynamic and dynamic laws is addressed. The introduced model, which is developed in the Matlab-Simulink environment, is an object-oriented high-speed real-time computer model and is capable of simulating the dynamic behavior of a broad group of gas turbine engines due to its modular structure. Moreover, a Kalman lter-based model tuning procedure is applied to decrease the modeling errors. Modeling errors are de ned as the mismatch between simulation results and available experimental data. This tuning procedure is an underdetermined estimation problem, where there are more tuning parameters than available measured data. Here, an innovative approach to producing a tuning parameter vector is introduced. This approach is based on seeking an optimal initial value for the Kalman lter tuning procedure. Three simulation studies are carried out in this paper to demonstrate the advantages, capabilities, and performance of the proposed scheme. Furthermore, simulation results are compared with manufacturers' published data and with the experimental results gathered in either turbo-generator or turbo-compressor applications. The computational time requirement of the model is discussed at the end of the paper. © 2020 Sharif University of Technology. All rights reserved
  6. Keywords:
  7. MATLAB ; Computational time ; Estimation problem ; Gas turbine modeling ; Innovative approaches ; Modular structures ; Nonlinear thermodynamics ; Real-time computer ; Simulation studies ; Gas turbines ; Computer simulation ; Dynamic response ; Estimation method ; Experimental study ; Innovation ; Kalman filter ; Optimization ; Real time ; Thermodynamics ; Turbine
  8. Source: Scientia Iranica ; Volume 27, Issue 2 , 2021 , Pages 806-818 ; 10263098 (ISSN)
  9. URL: http://scientiairanica.sharif.edu/article_21249.html