The University of Southampton
University of Southampton Institutional Repository

Helicopter station-keeping; comparing LQR, fuzzy logic and neural net controllers

Helicopter station-keeping; comparing LQR, fuzzy logic and neural net controllers
Helicopter station-keeping; comparing LQR, fuzzy logic and neural net controllers
Station-keeping is a difficult flight control mode for helicopters since they have little forward speed and are dynamically unstable in that mode. In this paper the designs for a fuzzy-logic controller and neural-network (NN) controllers which are used to provide acceptable station-keeping performance for a single main rotor helicopter are presented. The effectiveness of the proposed designs is established from an examination of a number of results obtained from a simulation of the controlled helicopter. The required training and recall data needed for the NN were obtained from the responses of the same helicopter type being controlled in a station-keeping mode by a continuous, linear, optimal feedback control law, obtained by solving a linear quadratic regulator problem.
helicopter flight control, optimal control, fuzzy logic control, neural networks
0952-1976
411-418
McLean, D.
6a7a72e5-16eb-4a98-8f7c-c24441466b40
Matsuda, H.
4359026e-3285-47bf-8a31-426bbed543c9
McLean, D.
6a7a72e5-16eb-4a98-8f7c-c24441466b40
Matsuda, H.
4359026e-3285-47bf-8a31-426bbed543c9

McLean, D. and Matsuda, H. (1998) Helicopter station-keeping; comparing LQR, fuzzy logic and neural net controllers. Engineering Applications of Artificial Intelligence, 11 (3), 411-418. (doi:10.1016/S0952-1976(98)00005-0).

Record type: Article

Abstract

Station-keeping is a difficult flight control mode for helicopters since they have little forward speed and are dynamically unstable in that mode. In this paper the designs for a fuzzy-logic controller and neural-network (NN) controllers which are used to provide acceptable station-keeping performance for a single main rotor helicopter are presented. The effectiveness of the proposed designs is established from an examination of a number of results obtained from a simulation of the controlled helicopter. The required training and recall data needed for the NN were obtained from the responses of the same helicopter type being controlled in a station-keeping mode by a continuous, linear, optimal feedback control law, obtained by solving a linear quadratic regulator problem.

Full text not available from this repository.

More information

Published date: 1998
Keywords: helicopter flight control, optimal control, fuzzy logic control, neural networks

Identifiers

Local EPrints ID: 21320
URI: https://eprints.soton.ac.uk/id/eprint/21320
ISSN: 0952-1976
PURE UUID: a00181cb-f716-4826-9354-e195a25520cb

Catalogue record

Date deposited: 24 Nov 2006
Last modified: 17 Jul 2017 16:26

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×