NDLI: Autonomous flight test using angle of UAV’s velocity vector

Content Provider	IEEE Xplore Digital Library
Author	Dong-in Han Jong-hun Kim Dae-woo Lee Kyum-rae Cho Sung-jin Cho
Copyright Year	2008
Description	Author affiliation: Dept. of Aerosp. Eng., Pusan Nat. Univ., Pusan (Dong-in Han; Jong-hun Kim; Dae-woo Lee; Kyum-rae Cho; Sung-jin Cho)
Abstract	This paper describes the result of the guidance using the heading angle from the magnetic heading vector and velocity vector when autonomous flight is performed by the point navigation guidance. The guidance logic makes difference between the line of sight angle and UAVpsilas heading angle as an error using PD controller. In fixed-wing, the accuracy of convergence is influenced by perturbation like the crosswind, and the flight path to the next waypoint affected also by the states of approach. Therefore, the robust guidance is needed at autonomous flight. When flight using magnetic heading vector, the result is shown that the vehicle does not follow a expected path even though heading vector of UAV is pointing at waypoint. Moreover, the vehicle does not pass the waypoint but the UAV has circular flight path sometimes. When flight using velocity vector, from the result of flight, the flight performed with smaller radius at waypoint, even if side slip was occurred. Considering the UAVpsilas usage and ability, the flight path is significantly influenced by perturbation in windy area or closed to each waypoint. It causes a lot of losses in mission performance or operation of UAV, so autonomous flight needed using guidance performed by velocity vector based on flight path in UAV.
Starting Page	312
Ending Page	315
File Size	1300443
Page Count	4
File Format	PDF
ISBN	9788995003893
DOI	10.1109/ICCAS.2008.4694662
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-14
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	ICROS
Subject Keyword	Navigation UAV PD control Convergence Remotely operated vehicles crosswind magnetic vector guidance velocity vector Unmanned aerial vehicles Robustness Performance loss Error correction Logic Testing
Content Type	Text
Resource Type	Article

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