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

P. Stewart; D. Gladwin; M. Parr; J. Stewart

doi:10.1109/FUZZY.2007.4295479

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

P. Stewart^*, D. Gladwin, M. Parr, J. Stewart

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

An investigation is made in this paper of the possibility 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.

Original language	English
Title of host publication	2007 IEEE International Fuzzy Systems Conference
Number of pages	6
DOIs	https://doi.org/10.1109/FUZZY.2007.4295479
Publication status	Published - 27 Aug 2007
Externally published	Yes

Keywords

Fuzzy logic
Aircraft
Aerospace control
Algorithm design and analysis
Control systems
Genetic algorithms
Aerospace safety
Fatigue
Aerospace simulation
Testing

Access to Document

10.1109/FUZZY.2007.4295479

Cite this

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title = "A Multiobjective G.A./Fuzzy Logic augmented flight controller for an F16 aircraft",

abstract = "An investigation is made in this paper of the possibility 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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KW - Fuzzy logic

KW - Aircraft

KW - Aerospace control

KW - Algorithm design and analysis

KW - Control systems

KW - Genetic algorithms

KW - Aerospace safety

KW - Fatigue

KW - Aerospace simulation

KW - Testing

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