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Aerospace Instrument-Making

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The synthesis of algorithms of integrated information processing based on a J-adaptive filter to perform a UAV aircraft-landing
Terentiev V.M. Mikhailova O.V.

The purpose of studies was to advance a unmanned aerial veicle motion control automation methodology during landing mode which is a more critical and complex stage of unmanned aerial veicle flight concerning the synthesis of algorithms of integrated information processing. Considering, that, on landing trajectory, it is necessary to meet high requirements to the precision of unmanned aerial veicle stabilization on the glide-slope, a complex solution of problems both of information processing and control is needed. For these purposes, a mathematical model describing the unmanned aerial veicle motion relative to the glide-slope and landing point has been made. The paper deals with the problem of normal-design- unmanned aerial veicle aircraft-landing control in the vertical plane. Information from navigation systems including a user equipment of satellite navigation systems with differential corrections and or a receiver of correction signals from pseudo-satellites, accelerometers, radio altimeter and glide-slope radio receiver is used as information to provide unmanned aerial veicle automatic landing mode. The method of integration of sensor equipment has been developed on the basis of the J-adaptive filter which estimates the distance and velocity of deviation from the glide-slope. The obtained estimations entered control algorithms. The results of the studies are demonstrated by mathematically modeling the flight of unmanned aerial veicle, statically instable in normal acceleration, during landing mode. The mathematical modeling has been conducted taking into account wind disturbances as constant wind gusts. The unmanned aerial veicle trajectory motion mathematical modeling during the glide-slope landing has shown the acceptable precision-performance results.

Key words: UAV (unmanned aerial vehicle), automatic landing, estimation, J-adaptive filter, modeling.


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Pp. 34-46.

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