A Multiobjective G.A./Fuzzy Logic augmented flight controller for an F16 aircraft.

Stewart, P. and Gladwin, D. and 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.

[img]
Preview
PDF
F16_MOGA_upload.pdf - Whole Document

Download (5Mb)

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.

Item Type: Conference or Workshop Item (Paper)
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.
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 Sciences > Faculty of Science > Lincoln School of Engineering
Depositing User: Paul Stewart
Date Deposited: 02 Mar 2010 11:03
Last Modified: 13 Mar 2013 08:35
URI: http://eprints.lincoln.ac.uk/id/eprint/2197

Actions (login required)

View Item View Item