A Cooperative Aerial Inspection System with Continuable Charging Strategy
Peihan Zhang, Sen Xu, Weifan Zhang, Wei Dong
- Year
- 2019
- Citations
- 6
Abstract
Compared to a single flying robot, the swarm can significantly enhance robustness and capability in real-world missions. However, the overall flight duration of such system is still heavily constrained by the energy system, typically composed of lithium batteries. To cope with this issue, this paper develops an autonomous mobile charging station for the aerial swarm system to improve the endurance so that the system satisfies the need for the long-term mission such as surveillance and monitoring. The mobile charging station has the ability of environment perception and obstacle avoidance. On this basis, a charging module with multiple contact points is developed, and a motion tracking algorithm is proposed accordingly to support precise landing on the charging module. To further improve the flexibility in on-going real-world missions, a charging schedule and an area coverage policy are also proposed. A prototype system is built to verify the effectiveness of this system and experiments demonstrate the system could cover an area of interest completely and efficiently.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002