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Fuzzy scheduling control for gas turbine aero-engine: a multiobjective approach

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.
0278-0046
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
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), 536-548. (doi:10.1109/TIE.2002.1005378).

Record type: Article

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.

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Published date: 2002

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Local EPrints ID: 22111
URI: http://eprints.soton.ac.uk/id/eprint/22111
ISSN: 0278-0046
PURE UUID: afe0e774-453b-4832-aed0-6fb1f4f409f0
ORCID for A.J. Chipperfield: ORCID iD orcid.org/0000-0002-3026-9890

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Date deposited: 16 Mar 2006
Last modified: 10 Dec 2019 01:46

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