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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.

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More information

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

Identifiers

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

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Date deposited: 24 Nov 2006
Last modified: 15 Mar 2024 06:29

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Contributors

Author: D. McLean
Author: H. Matsuda

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