Bio-Inspired Trajectory Generation for UAV Perching Movement Based on Tau Theory. (5th September 2014)
- Record Type:
- Journal Article
- Title:
- Bio-Inspired Trajectory Generation for UAV Perching Movement Based on Tau Theory. (5th September 2014)
- Main Title:
- Bio-Inspired Trajectory Generation for UAV Perching Movement Based on Tau Theory
- Authors:
- Zhang, Zhen
Xie, Pu
Ma, Ou - Abstract:
- This paper offers a bio-inspired trajectory generation method for UAV/MAV perching (i.e., the final approach to, and landing on, a target). The method is based on tau theory, which was established based on the study of the natural motion patterns of animals (including humans) when they approach a fixed or moving object for perching or capturing prey. In our research, tau theory is applied to the trajectory generation problem of an air vehicle for perching on a target object. Three bio-inspired strategies, namely the tau in the action gap strategy, the tau coupling strategy and the intrinsic tau gravity strategy are studied for perching tasks. A key parameter of the method inspired by biological systems is discussed. Two perching scenarios, one from a flight state (with non-zero initial velocity) and one from a hovering state (with zero initial velocity), are studied. Numerical simulations with a rotary vehicle are presented as examples to demonstrate the performance of the proposed approach. The simulation results show that the resulting flight trajectories meet all the desired requirements for the vehicle in perching on an object.
- Is Part Of:
- International journal of advanced robotic systems. Volume 11:Number 9(2014)
- Journal:
- International journal of advanced robotic systems
- Issue:
- Volume 11:Number 9(2014)
- Issue Display:
- Volume 11, Issue 9 (2014)
- Year:
- 2014
- Volume:
- 11
- Issue:
- 9
- Issue Sort Value:
- 2014-0011-0009-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-09-05
- Subjects:
- Trajectory Generation -- Path Planning -- Bio-inspired -- Perching -- Tau Theory
Robotics -- Periodicals
Robotics
Periodicals
629.892 - Journal URLs:
- http://arx.sagepub.com/ ↗
http://search.epnet.com/direct.asp?db=bch&jid=13CR&scope=site ↗
http://www.intechweb.org/journal.php?id=3 ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.5772/58898 ↗
- Languages:
- English
- ISSNs:
- 1729-8806
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24513.xml