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Identification of Two-shaft Gas Turbine Variables Using a Decoupled Multi-model Approach With Genetic Algorithm.
- Source :
-
Periodica Polytechnica: Mechanical Engineering . 2021, Vol. 65 Issue 3, p229-245. 17p. - Publication Year :
- 2021
-
Abstract
- In industrial practice, the representation of the dynamics of nonlinear systems by models linking their different operating variables requires an identification procedure to characterize their behavior from experimental data. This article proposes the identification of the variables of a two-shafts gas turbine based on a decoupled multi-model approach with genetic algorithm. Hence the multi-model is determined in the form of a weighted combination of the decoupled linear local state space sub-models, with optimization of an objective cost function in different modes of operation of this machine. This makes it possible to have robust and reliable models using input / output data collected on the examined system, limiting the influence of errors and identification noises. [ABSTRACT FROM AUTHOR]
- Subjects :
- *GAS turbines
*GENETIC algorithms
*COST functions
*NONLINEAR systems
Subjects
Details
- Language :
- English
- ISSN :
- 03246051
- Volume :
- 65
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Periodica Polytechnica: Mechanical Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 152705881
- Full Text :
- https://doi.org/10.3311/PPme.17206