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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kampke, T. Elfes, A. |
| Copyright Year | 2004 |
| Description | Author affiliation: FAW, Ulm, Germany (Kampke, T.) |
| Abstract | Autonomous airships, or aerobots, that have to traverse extensive distances or explore other bodies of the solar system require careful management of onboard energy resources. For planetary exploration, available energy has to be used for science data gathering, communications with an orbiter or directly with Earth, altitude control and hazard avoidance, close-up navigation for science site investigation, and surface sampling. Consequently, long-distance traverses should be done by relying as much as possible on external energy sources, and in particular on wind energy. In this paper, we address the problem of planning opportunistic flight paths that use know regional or global wind patterns to carry the aerobot to its destination. We assume that the aerobot is able to control its vertical displacement, while horizontal displacement is to be achieved through wind propulsion. We show how energy minimal and time minimal trajectories can be computed for aerobots traversing homogenous wind fields. We also present computational results for 2D and 3D wind fields. |
| Sponsorship | IEEE Robotics and Automation Soc |
| Starting Page | 2542 |
| Ending Page | 2549 |
| File Size | 627293 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780382323 |
| ISSN | 10504729 |
| DOI | 10.1109/ROBOT.2004.1307444 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-04-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Solar system Energy management Resource management Energy resources Planetary orbits Geoscience Communication system control Hazards Navigation Sampling methods |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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