Hostname: page-component-78c5997874-dh8gc Total loading time: 0 Render date: 2024-11-06T06:49:17.636Z Has data issue: false hasContentIssue false

Development of a VTOL mini UAV for multi-tasking missions

Published online by Cambridge University Press:  03 February 2016

B. Bataillé
Affiliation:
[email protected], ISAE, France
J.-M. Moschetta
Affiliation:
D. Poinsot
Affiliation:
[email protected], ONERA DCSD and ISAE, France
C. Bérard
Affiliation:
A. Piquereau
Affiliation:

Abstract

Recent developments in the field of Mini-UAVs lead to successful designs in both hovering rotorcraft and fixed wing aircraft. However, a polyvalent MAV capable of stable hovering and fast forward flight is still expected. A promising candidate for such versatile missions consists of a tilt-body tail-sitter configuration. That concept is studied in this paper both from the flight mechanics and control points of view. Developments are based on an existing prototype called Vertigo. It consists of a tail sitter fixed-wing mini-UAV equipped with a contra-rotating pair of propellers in tractor configuration.

A wind-tunnel campaign was carried out to extract experimental results from the Vertigo aerodynamic characteristics. A 6-component sting balance was fitted in the powered model enabling excursion in angles of attack and sideslip angles up to 90°. Thus, a detailed understanding of the transition mechanism could be obtained. An analytical model including propwash effects was derived from experimental results.

The analytical model was used to compute stability modes for specific flight conditions. This allowed an appropriate design of the autopilot capable of stabilisation and control over the whole flight envelope. A gain sequencing technique was chosen to ensure stability while minimising control loop execution time. A MATLAB-based flight simulator including an analytical model for the propeller slipstream has been developed in order to test the validity of airborne control loops.

Simulation results are presented in the paper including hover flight, forward flight and transitions. Flight tests lead to successful inbound and outbound transitions of the Vertigo.

Type
Research Article
Copyright
Copyright © Royal Aeronautical Society 2009 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Bataillé, B., Poinsot, D., Thipyopas, C. and Moschetta, J.M., Fixed-wing micro air vehicles with hovering capabilities, NATO RTO meeting, AVT-146, Symposium on Platform Innovations and system integration for unmanned air, land and sea vehicles, Florence, Italy, 14-17 May 2007.Google Scholar
2. Mueller, T.J., Kellogg, J.C., Ifju, P.G. and Shkarayev, S.V., Introduction to the design of fixed-wing micro air vehicles, AIAA Education Series, AIAA, 2, 2006.Google Scholar
3. McCormick, B.W. Jr., Aerodynamics of V/STOL Flight, Dover Publications, Inc, NY, USA, 1999.Google Scholar
4. Ribner, H.S., Propellers in yaw, NACA Rept 820 1943.Google Scholar
5. Durand, W.F., Aerodynamic Theory, IV, Julius Springer, Berlin, Germany, 1934.Google Scholar
6. Boiffier, J.-L., The Dynamic of Flight: The Equations. Wiley, ISBN 0471942375Google Scholar
7. Osborne, S.R., Transitions Between Hover and Level Flight for a TailSitter UAV. Master of Science, Department of Mechanical Engineering. Brigham Young University, December 2007.Google Scholar
8. Nathan, B., Knoebel. Adaptive quaternion control of a miniature tailsitter UAV. Master of science, Department of Mechanical Engineering. Brigham Young University. December 2007.Google Scholar
9. Balas, G., Doyle, J.C., Glover, K., Packard, A. and Smith, R., Analysis and Synthesis, MUSYN, and The Mathworks, Inc., 1991.Google Scholar
10. Poinsot, D., Bérard, C., Krashanitsa, R., and Shkarayev, S., Investigation of flight dynamics and automatic controls for hovering micro air vehicles. In submission in AIAA Guidance, Navigation and Control Conference 2008, Hawaii, USA.Google Scholar
11. Stone, R.H. and Clarke, G., Optimization of transition manoeuvres for a tail-sitter unmanned air vehicle. Preprint report.Google Scholar
12. Magni, J.F., Extension of the linear fractional representation toolbox (LFRT). In Proceedings of the IEEE International Symposium on Computer aided control system design, Taipei, Taiwan, pp 261266, September 2004.Google Scholar