Design of Wind Speed Measurement System Based on Integrated Navigation and Atmospheric Data Fusion

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Abstract:

The characteristics wind field impact flight safety, trajectory keeping, and navigation performance of Micro Unmanned Aerial Vehicles (MUAV) directly. Accurate wind field measurement is a premise for MUAVs to take various pre-reactions to gust disturbance. Due to its small size, light weight, and low speed, MUAV is easily affected by gust disturbance during its flight at low altitude. Real time wind speed estimation and flight control strategy adjusting can reduce the impact of gust and enhance flight safety. This paper proposes a method of using airborne IMU, GPS, and pressure sensors to estimate wind speed. Experimental results show that this method can effectively estimate wind speed accurately, and has important application value.

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105-110

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Yaohong Qu, Qiong Lin, Jianguo Yan, Wind Field Estimation Simulation Technology in DR/GPS/RP Integrated Navigation of UAV [J]. 2009, 21(7): 1822-1825. In Chinese.

Google Scholar

[2] Lin Liu. Wind Estimation in flight [J]. Flight Dynamics, 1992, 10(3): 41-48. In Chinese.

Google Scholar

[3] S. Myschik, G. Sachs. Flight Testing an Integrated Wind/Air data and Navigation System for General Aviation Aircraft [C]. USA: AIAA Guidance, Navigation, and Control Conference and Exhibit (AIAA-2007-6796), (2004).

DOI: 10.2514/6.2007-6796

Google Scholar

[4] Etkin B. Turbulent Wind and Its Effect on Flight [J]. Journal of Aircraft, 1984, 21(3): 175-182.

Google Scholar

[5] Makoto Kumon, Ikuro Mizumoto, Zenta Iwai, Masanobu Nagata. Wind Estimation by Unmanned Air Vehicle with Delta Wing [J]. IEEE 0-7803-8914-X/05.

DOI: 10.1109/robot.2005.1570390

Google Scholar

[6] S. Myschik, M. Heller, F. Holzapfel, G. Sachs. Low-Cost Wind Measurement System for Small Aircraft [C]. USA: AIAA Guidance, Navigation, and Control Conference and Exhibit (AIAA-2004-5240), (2004).

DOI: 10.2514/6.2004-5240

Google Scholar

[7] U. Oscar Lappe. Low-Altitude Turbulence Model for Estimating Gust Loads on Aircraft [C]. 1996, Vol 3 (1), 41-47.

DOI: 10.2514/3.43705

Google Scholar

[8] Liu Wei, Zhang Jingjuan, Yang Guoliang. A Low Cost Integrated Navigation System Applied on UAV and Some Simulations Results. Seventh International Symposium on Instrumentation and Control Technology, 2008, Vol. 7128 71282I-1~71282I-6.

DOI: 10.1117/12.806881

Google Scholar

[9] Yang Wang, Wei Liu, Chao Wang. Design and Implementation of Air Data Collection System for Small UAV. Aviation Electronics Technology, 2010,41 (1), 7-11. In Chinese.

Google Scholar

[10] Wei Liu, Chao Wang, Jingjuan Zhang. Design and Implementation of Micro-altimeter with High Precision, 2010, 31 (4): 56-59. In Chinese.

Google Scholar