DocumentCode :
2950955
Title :
Bio-inspired trajectory generation for UAV perching
Author :
Zhen Zhang ; Pu Xie ; Ou Ma
Author_Institution :
Sch. of Mechatron. & Autom., Shanghai Univ., Shanghai, China
fYear :
2013
fDate :
9-12 July 2013
Firstpage :
997
Lastpage :
1002
Abstract :
This paper represents a bio-inspired trajectory generation (path planning) method for UAV perching. The method is based on the tau theory which was established from studying the natural motion behaviors when animals (including humans) approaching and catching a fixed or moving object. In our research, the tau theory is applied to the trajectory generation problem of a UAV perching on a target object. Two perching scenarios have been studied, one from a flight state (with non-zero initial velocity) and one from a hovering state (with zero initial velocity). Three strategies, namely, perching with a straight-line trajectory, perching with pitch angle coupling, and perching with pitch/yaw angular coupling, are demonstrated with each of the two scenarios. The simulation results show that the resulting flight trajectories meet all the desired requirements for a rotary UAV to perch on an object.
Keywords :
autonomous aerial vehicles; path planning; bio-inspired trajectory generation method; flight state; flight trajectories; hovering state; natural motion behaviors; path planning method; pitch-yaw angular coupling; rotary UAV perching; straight-line trajectory; target object; tau theory; Acceleration; Birds; Couplings; Educational institutions; Gravity; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
Conference_Location :
Wollongong, NSW
ISSN :
2159-6247
Print_ISBN :
978-1-4673-5319-9
Type :
conf
DOI :
10.1109/AIM.2013.6584224
Filename :
6584224
Link To Document :
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