Stewart, P., Gladwin, D., Parr, M. and Patterson, J. (2007) A Multiobjective G.A./Fuzzy Logic augmented flight controller for an F16 aircraft. In: IEEE International Conference on Fuzzy Systems FUZZ-IEEE 2007, 23-26 July 2007, Imperial College, London, UK.
Full content URL: http://dx.doi.org/10.1109/FUZZY.2007.4295479
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F16_MOGA_upload.pdf - Whole Document 5MB |
Item Type: | Conference or Workshop contribution (Paper) |
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Item Status: | Live Archive |
Abstract
An investigation is made in this paper of the pos- sibility of enhancing the performance of controllers of unstable systems while retaining safety critical function. In this case, a General Dynamics F16 fighter is considered in simulation. A fuzzy logic controller is designed and its membership functions tuned by Multiobjective Genetic Algorithms in order to design an augmented flight controller with enhanced manouverability which still retains safety critical operation. The controller is assessed in terms of pilot effort and thus reduction of pilot fatigue. The controller is incorporated into a six degree of freedom real-time flight simulator, and flight tested by a qualified pilot instructor.
Additional Information: | An investigation is made in this paper of the pos- sibility of enhancing the performance of controllers of unstable systems while retaining safety critical function. In this case, a General Dynamics F16 fighter is considered in simulation. A fuzzy logic controller is designed and its membership functions tuned by Multiobjective Genetic Algorithms in order to design an augmented flight controller with enhanced manouverability which still retains safety critical operation. The controller is assessed in terms of pilot effort and thus reduction of pilot fatigue. The controller is incorporated into a six degree of freedom real-time flight simulator, and flight tested by a qualified pilot instructor. |
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Keywords: | Fuzzy Logic, Multiobjective evolutionary algorithm, Flight control, F16 Aircraft |
Subjects: | H Engineering > H660 Control Systems G Mathematical and Computer Sciences > G700 Artificial Intelligence H Engineering > H400 Aerospace Engineering |
Divisions: | College of Science > School of Engineering |
ID Code: | 2197 |
Deposited On: | 02 Mar 2010 11:03 |
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