Automatic autopilot tuning framework using genetic algorithms and system identification

This paper presents a comprehensive framework for offline optimization of tuning parameters in unmanned aerial vehicle (UAV) flight controllers. The framework uses system identification to create a simplified flight dynamics model, followed by control law matching to ensure the simulated controller&...

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Bibliographic Details

Published in:	Aerospace science and technology Vol. 157; p. 109779
Main Authors:	Bazzocchi, Sean, Warwick, Stephen, Suleman, Afzal
Format:	Journal Article
Language:	English
Published:	Elsevier Masson SAS 01.02.2025
ISSN:	1270-9638
Online Access:	Get full text
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