Non-linear modelling of a one-degree-of-freedom twin-rotor multi-input multi-output system using radial basis function networks-Reference-Cited by-同舟云学术

Non-linear modelling of a one-degree-of-freedom twin-rotor multi-input multi-output system using radial basis function networks

Published:2002-04-01 Issue:4 Volume:216 Page:197-208
ISSN:0954-4100
Container-title:Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Author:

Ahmad S M¹,Shaheed M H²,Chipperfield A J³,Tokhi M O³

Affiliation:

1. The University of Plymouth Department of Mechanical and Marine Engineering UK

2. Queen Mary University of London Department of Engineering UK

3. The University of Sheffield Department of Automatic Control and Systems Engineering UK

Abstract

Modelling of innovative aircraft such as unmanned air vehicles (UAVs), X-wing, tilt body and delta-wing aircraft is not easy. It is argued in this paper that non-linear system identification is suitable for modelling air vehicles of complex configuration. This approach is demonstrated through a laboratory test rig. Extensive time and frequency-domain model-validation tests are employed in order to instil confidence in the estimated model. The estimated model has a good predictive capability and can be utilized for non-linear flight simulation studies. Some aspects of the modelling approach presented may be relevant to flight mechanics modelling of new generations of air vehicle.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1243/09544100260369731

Reference11 articles.

1. Nonlinear Flight Control Using Neural Networks

2. Identification of nonlinear flight dynamics: theory and practice

3. Modelling and identification of non-linear aerodynamic functions using B-splines

4. Correlation based model validity tests for non-linear models

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