EventsThe 2nd International Electronic Conference on Actuator Technology
Published
This submission belongs to the session S3. Drive/control technologies of the event The 2nd International Electronic Conference on Actuator Technology
Published date
30 Oct, 2024
Academic Editor
author-avatarPaolo Mercorelli
Citation
Han WANG, Farid Yousef, Wang Liang, Preumont André, Colibri: Hovering Flight of a Robotic Hummingbird, in Proceedings of The 2nd International Electronic Conference on Actuator Technology, 4 November–6 November 2024, MDPI: Basel, Switzerland
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Colibri: Hovering Flight of a Robotic Hummingbird

Wang Liang 2
image
1. Department of Control Engineering and System Analysis, Universite Libre de Bruxelles (ULB), CP. 165-55, 50 Av. F.D. Roosevelt, B-1050, Brussels, Belgium, Belgium
2. Department of Control Engineering and System Analysis, Universite Libre de Bruxelles (ULB), CP. 165-55, 50 Av. F.D. Roosevelt, B-1050, Brussels, Belgium, China
Abstract

This paper explores the design, development and testing of a tailless, two-winged robotic hummingbird, named COLIBRI. The current version of our robot has a total mass of around 22 gr, a wingspan of 21cm and a flapping frequency of around 20Hz. The primary objective is to enhance its flight autonomy and stability. The control system incorporates two attitude reconstruction algorithms: a Complementary filter and a full state dynamic observer implemented as a Kalman filter. Both of them were designed to filter out the noise caused by the rapid flapping of the wings, ensuring accurate and reliable attitude estimation. They are implemented on a newly developed control board with enhanced performance and reduced weight. Experimental results demonstrate successful attitude stabilization and improve station keeping, despite significant flapping noise. Notably, the gear-based prototype achieved a maximum flight time of 4 minutes and 45 seconds, highlighting the effectiveness of the design improvements in extending flight duration.

Keywords
Robotic hummingbird
complementary filter
full state dynamic observer
station keeping
duration
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