Fuzzy scheduling control for gas turbine aero-engine: a multiobjective approach
Fuzzy scheduling control for gas turbine aero-engine: a multiobjective approach
This paper investigates the use of a nonconventional approach to control 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 performance of the system and simultaneously enhance the flexibility of the control strategy. Modern techniques are required for many complex systems where increasingly strict performance and regulatory requirements must be achieved. This is particularly true of aerospace systems where consideration of safety, reliability, maintainability, and environmental impact are all necessary as part of the control requirements. This paper investigates a combination of two such potential techniques: fuzzy logic and evolutionary algorithms. Emerging from new requirements for gas turbine aero-engine control, a flexible gain scheduler is developed and analyzed. A hierarchical multiobjective genetic algorithm is employed to search and optimize the potential solutions for a wide envelope controller covering idle, cruise, and full-power conditions. The overall strategy is demonstrated to be a straightforward and feasible method of refining the control system performance and increasing its flexibility.
536-548
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Bica, B.
d71cabbe-391e-4cc8-93f4-943fa5faded3
Fleming, P.J.
c67695a9-5de1-455b-bcaf-87d4d63422b9
2002
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Bica, B.
d71cabbe-391e-4cc8-93f4-943fa5faded3
Fleming, P.J.
c67695a9-5de1-455b-bcaf-87d4d63422b9
Chipperfield, A.J., Bica, B. and Fleming, P.J.
(2002)
Fuzzy scheduling control for gas turbine aero-engine: a multiobjective approach.
IEEE Transactions on Industrial Electronics, 49 (3), .
(doi:10.1109/TIE.2002.1005378).
Abstract
This paper investigates the use of a nonconventional approach to control 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 performance of the system and simultaneously enhance the flexibility of the control strategy. Modern techniques are required for many complex systems where increasingly strict performance and regulatory requirements must be achieved. This is particularly true of aerospace systems where consideration of safety, reliability, maintainability, and environmental impact are all necessary as part of the control requirements. This paper investigates a combination of two such potential techniques: fuzzy logic and evolutionary algorithms. Emerging from new requirements for gas turbine aero-engine control, a flexible gain scheduler is developed and analyzed. A hierarchical multiobjective genetic algorithm is employed to search and optimize the potential solutions for a wide envelope controller covering idle, cruise, and full-power conditions. The overall strategy is demonstrated to be a straightforward and feasible method of refining the control system performance and increasing its flexibility.
Text
22111.pdf
- Version of Record
More information
Published date: 2002
Identifiers
Local EPrints ID: 22111
URI: http://eprints.soton.ac.uk/id/eprint/22111
ISSN: 0278-0046
PURE UUID: afe0e774-453b-4832-aed0-6fb1f4f409f0
Catalogue record
Date deposited: 16 Mar 2006
Last modified: 16 Mar 2024 03:31
Export record
Altmetrics
Contributors
Author:
B. Bica
Author:
P.J. Fleming
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
