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The application of self-organising fuzzy control to station-keeping in unmanned air vehicles

Published online by Cambridge University Press:  04 July 2016

J. T. Platts  and
W. Forsythe
J. T. Platts
Affiliation:
Flight Management and Control Department , DERA Bedford, UK
W. Forsythe
Affiliation:
School of Electronic and Electrical Engineering , Loughborough University , UK
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Abstract

This paper reports on part of a larger study examining the applicability of fuzzy logic to the higher level supervisory control functions of unmanned air vehicles and details the work so far in testing the feasibility of a candidate self-organising scheme. The candidate algorithm consists of a regular fuzzy control system whose rule set is improved over time as a function of the deviation of the plant from some desired performance. Historically, virtually all work in this area has examined the application of the algorithm to the classic regulator problem, and focussed on achieving both better performance in that role and establishing tuning guidelines based on a more systematic approach. The application discussed in this paper is assessing the algorithm to ascertain its possible utility in the higher level supervisory capacities. The candidate control problem was one of station-keeping of one air vehicle behind another.

Type
Research Article
Information
The Aeronautical Journal , Volume 105 , Issue 1049 , July 2001 , pp. 359 - 370
Copyright
Copyright © Royal Aeronautical Society 2001 

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