Towards fuzzy gain scheduling for gas turbine aero-engine systems: A multiobjective approach
Towards fuzzy gain scheduling for gas turbine aero-engine systems: A multiobjective approach
This paper investigates the use of a non-conventional approach to the control of a gas turbine aero-engine. The rationale behind this study is the need to develop advanced tools and techniques that can assist in improving the performances of the system and which simultaneously enhance the flexibility of the control strategy. Here, two such methods, fuzzy logic and evolutionary algorithms, are considered. Emerging from new requirements for gas turbine engine control, a flexible gain scheduler is developed and analyzed. A hierarchical multiobjective genetic algorithm is developed to perform search and optimization of the candidate fuzzy scheduling solutions.
81-86
Bica, B.
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Chipperfield, A. J.
524269cd-5f30-4356-92d4-891c14c09340
Fleming, P. J.
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22 January 2000
Bica, B.
d71cabbe-391e-4cc8-93f4-943fa5faded3
Chipperfield, A. J.
524269cd-5f30-4356-92d4-891c14c09340
Fleming, P. J.
c0a16ed6-4897-44b2-913a-853e61d66eba
Bica, B., Chipperfield, A. J. and Fleming, P. J.
(2000)
Towards fuzzy gain scheduling for gas turbine aero-engine systems: A multiobjective approach.
In Proceedings of the IEEE International Conference on Industrial Technology.
.
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Conference or Workshop Item
(Paper)
Abstract
This paper investigates the use of a non-conventional approach to the control of a gas turbine aero-engine. The rationale behind this study is the need to develop advanced tools and techniques that can assist in improving the performances of the system and which simultaneously enhance the flexibility of the control strategy. Here, two such methods, fuzzy logic and evolutionary algorithms, are considered. Emerging from new requirements for gas turbine engine control, a flexible gain scheduler is developed and analyzed. A hierarchical multiobjective genetic algorithm is developed to perform search and optimization of the candidate fuzzy scheduling solutions.
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Published date: 22 January 2000
Venue - Dates:
IEEE ICIT' 2000: The International Conference on Industrial Technology, , Goa, India, 2000-01-19 - 2000-01-22
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Local EPrints ID: 470269
URI: http://eprints.soton.ac.uk/id/eprint/470269
PURE UUID: 42d883c0-2ffd-4b86-82af-6a4e4e6502eb
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Date deposited: 05 Oct 2022 16:39
Last modified: 23 Feb 2023 02:45
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Contributors
Author:
B. Bica
Author:
P. J. Fleming
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