Systems integration using evolutionary algorithms
Systems integration using evolutionary algorithms
- Author(s): A.J. Chipperfield and P.J. Fleming
- DOI: 10.1049/cp:19960637
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- Author(s): A.J. Chipperfield and P.J. Fleming Source: UKACC International Conference on Control. Control '96, 1996 p. 705 – 710
- Conference: UKACC International Conference on Control. Control '96
- DOI: 10.1049/cp:19960637
- ISBN: 0 85296 666 0
- Location: Exeter, UK
- Conference date: 2-5 Sept. 1996
- Format: PDF
This paper describes an approach to the systems integration problem using multiobjective genetic algorithms. An architecture for evolutionary systems integration is presented and the component parts discussed. An example of an aircraft gas turbine engine control system design problem is shown demonstrating aspects of the proposed architecture that allow many design objectives from different disciplines to be considered in parallel. Potential closed-loop control configurations are evaluated and compared against one another within an optimization framework. As a result of this analysis, it is shown how informed decisions may be made regarding the nature of the control employed, acceptable performance margins and elements of the engine design.
Inspec keywords: closed loop systems; control system synthesis; aerospace engines; gas turbines; performance index; aircraft control; genetic algorithms
Subjects: Control system analysis and synthesis methods; Optimisation techniques; Aerospace control; Control of heat systems
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