Windshear Recovery Using Fuzzy Logic Guidance and Control

Fernández-Montesinos, M. Aznar; Schram, G.; Vingerhoeds, Rob A.; Verbruggen, H.B.; Mulder, J.A.

doi:10.2514/2.7624

Cited by 4 publications

References 13 publications

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Flight path control of small unmanned air vehicle

Kumon

Nagata

Kohzawa

et al. 2006

Journal of Field Robotics

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In this paper, a path following control system for a small and light unmanned air vehicle (UAV), called Kiteplane, was proposed. The aircraft contains a large delta‐shaped main wing and exhibits stable flying dynamics. Because of this feature, a simple proportional integral differential control method could be implemented since attitude control to stabilize the motion was not needed. Devices installed on board the aircraft were developed for the autopilot system and the proposed control method was implemented. Results of numerical simulations and experiments showed the effectiveness of the approach. This paper also provides an algorithm for using the aircraft to estimate wind direction based on Kiteplane dynamics under the wind effect. A numerical estimation method was proposed and it was implemented on the autopilot system. The experimental results also supported the proposed wind estimating method. © 2006 Wiley Periodicals, Inc.

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Flight path control of small unmanned air vehicle

Kumon

Nagata

Kohzawa

et al. 2006

Journal of Field Robotics

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Wind Estimation by Unmanned Air Vehicle with Delta Wing

Kumon

Mizumoto

Iwai

et al.

Proceedings of the 2005 IEEE International Conference on Robotics and Automation

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In this paper, an algorithm to estimate wind direction by using a small and light Unmanned Air Vehicle(UAV) called KITEPLANE was proposed. KITEPLANE had a big main wing which is a kite-like delta shape and, therefore, it was easy to be disturbed by wind. However, this disadvantage implies that the KITEPLANE has an ability to sense wind and that it is expected to use the KITEPLANE as a sensor for wind estimation. In order to achieve this feature, dynamics of the KITEPLANE under wind disturbance were derived and a numerical estimation method was proposed. Devices equipped on board were also developed and the proposed method was implemented. Results of an experiment showed the effectiveness of the proposed method.

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