Details
| Original language | English |
|---|---|
| Title of host publication | 2022 10th International Conference on Systems and Control, ICSC 2022 |
| Editors | Driss Mehdi, Rachid Outbib, Ahmed El-Hajjaji, Eric Busvelle, Hassan Noura |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 108-113 |
| Number of pages | 6 |
| ISBN (electronic) | 9781665465076 |
| ISBN (print) | 978-1-6654-6506-9, 978-1-6654-6508-3 |
| Publication status | Published - 2022 |
| Event | 10th International Conference on Systems and Control, ICSC 2022 - Marseille, France Duration: 23 Nov 2022 → 25 Nov 2022 |
Publication series
| Name | International Conference on Systems and Control |
|---|---|
| ISSN (electronic) | 2379-0067 |
Abstract
The problem of determining the maximum rotational speed of a gas turbine after a load rejection event (Gas Turbine Overspeed Analysis) using a complex simulation model is a major task in the engineering of gas turbines for power plants. In this paper two algorithms for optimization of expensive black-box functions are applied to the problem instead of the time-consuming commonly used simulation approach. Conventional optimization methods that are using the functions gradients are not applicable to this simulation study as they use information about the gradients of the objective function that are not available for this model. Both algorithm use radial basis functions to approximate the objective function for optimization. The algorithms are compared and it is shown that both are able to provide sufficient solutions for the problem mentioned using a little number of simulations or, in other words, in shorter time.
Keywords
- Black-box Optimization, Gas Turbine Over-speed Analysis, Gradient-free Optimization, Radial Basis Functions, Response Surface Methods
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Mathematics(all)
- Control and Optimization
Cite this
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2022 10th International Conference on Systems and Control, ICSC 2022. ed. / Driss Mehdi; Rachid Outbib; Ahmed El-Hajjaji; Eric Busvelle; Hassan Noura. Institute of Electrical and Electronics Engineers Inc., 2022. p. 108-113 (International Conference on Systems and Control).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Radial Basis Function Approximation in Gas Turbine Overspeed Analysis
AU - Peters, Lukas
AU - Gobel, Vincent
AU - Schoof, Sonke
AU - Kutzner, Rudiger
AU - Schafer, Marc
AU - Hofmann, Lutz
PY - 2022
Y1 - 2022
N2 - The problem of determining the maximum rotational speed of a gas turbine after a load rejection event (Gas Turbine Overspeed Analysis) using a complex simulation model is a major task in the engineering of gas turbines for power plants. In this paper two algorithms for optimization of expensive black-box functions are applied to the problem instead of the time-consuming commonly used simulation approach. Conventional optimization methods that are using the functions gradients are not applicable to this simulation study as they use information about the gradients of the objective function that are not available for this model. Both algorithm use radial basis functions to approximate the objective function for optimization. The algorithms are compared and it is shown that both are able to provide sufficient solutions for the problem mentioned using a little number of simulations or, in other words, in shorter time.
AB - The problem of determining the maximum rotational speed of a gas turbine after a load rejection event (Gas Turbine Overspeed Analysis) using a complex simulation model is a major task in the engineering of gas turbines for power plants. In this paper two algorithms for optimization of expensive black-box functions are applied to the problem instead of the time-consuming commonly used simulation approach. Conventional optimization methods that are using the functions gradients are not applicable to this simulation study as they use information about the gradients of the objective function that are not available for this model. Both algorithm use radial basis functions to approximate the objective function for optimization. The algorithms are compared and it is shown that both are able to provide sufficient solutions for the problem mentioned using a little number of simulations or, in other words, in shorter time.
KW - Black-box Optimization
KW - Gas Turbine Over-speed Analysis
KW - Gradient-free Optimization
KW - Radial Basis Functions
KW - Response Surface Methods
UR - http://www.scopus.com/inward/record.url?scp=85146496061&partnerID=8YFLogxK
U2 - 10.1109/ICSC57768.2022.9993920
DO - 10.1109/ICSC57768.2022.9993920
M3 - Conference contribution
AN - SCOPUS:85146496061
SN - 978-1-6654-6506-9
SN - 978-1-6654-6508-3
T3 - International Conference on Systems and Control
SP - 108
EP - 113
BT - 2022 10th International Conference on Systems and Control, ICSC 2022
A2 - Mehdi, Driss
A2 - Outbib, Rachid
A2 - El-Hajjaji, Ahmed
A2 - Busvelle, Eric
A2 - Noura, Hassan
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Systems and Control, ICSC 2022
Y2 - 23 November 2022 through 25 November 2022
ER -