Application of genetic algorithms to hypersonic flight control

Austin, K. J. and Jacobs, P. A. (2002). Application of genetic algorithms to hypersonic flight control. In: Michael H. Smith, William A. Gruver and Lawrence O. Hall, Proceedings of Joint 9th IFSA World Congress abnd 20th NAFIPS International Conference. 9th International Fuzzy Systems Association World Congress/20th North American Fuzzy Information Processing Society, International Conference, Vancouver, Canada, (2428-2433). 25-28 Jul 2001.

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Author Austin, K. J.
Jacobs, P. A.
Title of paper Application of genetic algorithms to hypersonic flight control
Conference name 9th International Fuzzy Systems Association World Congress/20th North American Fuzzy Information Processing Society, International Conference
Conference location Vancouver, Canada
Conference dates 25-28 Jul 2001
Proceedings title Proceedings of Joint 9th IFSA World Congress abnd 20th NAFIPS International Conference
Journal name Joint 9th Ifsa World Congress and 20th Nafips International Conference, Proceedings, Vols. 1-5
Place of Publication New York, NY
Publisher IEEE
Publication Year 2002
Sub-type Fully published paper
ISBN 0780370783
Editor Michael H. Smith
William A. Gruver
Lawrence O. Hall
Volume 4
Start page 2428
End page 2433
Total pages 6
Language eng
Abstract/Summary This paper presents an application of genetic algorithms to the design of a longitudinal flight controller for a hypersonic accelerator vehicle which is to be used to launch small satellites. A feature of hypersonic air-breathing flight vehicles is the high level of engine integration with the airframe. As a result, maintenance of vehicle attitude is not simply an issue of stability, but also one of propulsive effectiveness, which itself varies with flight conditions and the vehicle attitude. There is therefore, limited scope for departure from optimum operating conditions. This, together with the extreme flight conditions, performance uncertainty, and the inherent instability of the vehicle, contributes to a demanding control task. We examine the capacity of a genetic algorithm in designing a fuzzy logic controller for the task of closed loop flight control. With a fixed, present control structure the design task is to configure the control surface through selection of the rule consequents and input scaling. The genetic algorithm uses a collection of simulated flight responses in its formulation of the objective function. This allows the generation of a controller design without linearization of the vehicle model and dynamics. Stability augmentation is shown through flight simulation at the low-speed end of the hypersonic trajectory and also at a higher flight speed.
Subjects 0913 Mechanical Engineering
Keyword aerospace control
aerospace propulsion
attitude control
closed loop systems
fuzzy control
genetic algorithms
hypersonic flow
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Conference Paper
Collection: School of Mechanical & Mining Engineering Publications
 
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