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http://dx.doi.org/10.5139/JKSAS.2019.47.2.107

Robust Filter Based Wind Velocity Estimation Method for Unpowered Air Vehicle Without Air Speed Sensor  

Park, Yong-gonjong (Department of Mechanical and Aerospace Engineering /ASRI Seoul National University)
Park, Chan Gook (Department of Mechanical and Aerospace Engineering /ASRI Seoul National University)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.47, no.2, 2019 , pp. 107-113 More about this Journal
Abstract
In this paper, a robust filter based wind velocity estimation algorithm without an air velocity sensor in an air vehicle is presented. The wind velocity is useful information for the air vehicle to perform precise guidance and control. In general, the wind velocity can be obtained by subtracting an air velocity which is obtained by an air velocity sensor such as a pitot-tube, and a ground velocity which is obtained by a navigation equipment. However, in order to simplify the configuration of the air vehicle, the wind estimation algorithm is necessary because the wind velocity can not be directly obtained if the air velocity measurement sensor is not used. At this time, the aerodynamic coefficient of the air vehicle changes due to the turbulence, which causes the uncertainty of the system model of the filter, and the wind estimation performance deteriorates. Therefore, in this study, we propose a wind estimation method using $H{\infty}$ filter to ensure robustness against aerodynamic coefficient uncertainty, and we confirmed through simulation that the proposed method improves the performance in the uncertainty of aerodynamic coefficient.
Keywords
Wind Estimation; Unpowered Gliding Vehicle; Robust Filter; $H{\infty}$ Filter;
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