Nonlinear Multiple Points Gas Turbine Off-Design Performance Adaptation Using a Genetic Algorithm
| Autor: | Yi-Guang Li, L. Wang, M. F. Abdul Ghafir, X. Feng, K. Huang, Riti Singh |
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| Rok vydání: | 2011 |
| Předmět: |
Gas turbines
Engineering business.industry Mechanical Engineering Energy Engineering and Power Technology Aerospace Engineering Control engineering Off design Nonlinear system Fuel Technology Nuclear Energy and Engineering Control theory Genetic algorithm business Adaptation (computer science) Gas compressor |
| Zdroj: | Journal of Engineering for Gas Turbines and Power. 133 |
| ISSN: | 1528-8919 0742-4795 |
| DOI: | 10.1115/1.4002620 |
| Popis: | Accurate gas turbine performance models are crucial in many gas turbine performance analysis and gas path diagnostic applications. With current thermodynamic performance modeling techniques, the accuracy of gas turbine performance models at off-design conditions is determined by engine component characteristic maps obtained in rig tests and these maps may not be available to gas turbine users or may not be accurate for individual engines. In this paper, a nonlinear multiple point performance adaptation approach using a genetic algorithm is introduced with the aim to improve the performance prediction accuracy of gas turbine engines at different off-design conditions by calibrating the engine performance models against available test data. Such calibration is carried out with introduced nonlinear map scaling factor functions by “modifying” initially implemented component characteristic maps in the gas turbine thermodynamic performance models. A genetic algorithm is used to search for an optimal set of nonlinear scaling factor functions for the maps via an objective function that measures the difference between the simulated and actual gas path measurements. The developed off-design performance adaptation approach has been applied to a model single spool turbo-shaft aero gas turbine engine and has demonstrated a significant improvement in the performance model accuracy at off-design operating conditions. |
| Databáze: | OpenAIRE |
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