|Use of a swarm of UA in geophysical survey work||- UAV Swarm|
The relatively low purchase price and operating cost, coupled with automated flight capability, opens up the possibility of using several UAVs at the same time but sufficiently spaced to minimise the perturbation to the magnetic fields, to perform a task, such as a geological survey.
In order to minimise the extent of the necessary overlap regions in visual and thermal images, advantage is taken of the capability of the UAV to follow a precision flight path in both altitude and position.
To reduce the number of telemetry channels required when many UAVs are in the air, the UAV uses the on-board wireless LAN to communicate with nearby UAVs, in a wireless mesh network, with only a minimum number of UAVs maintaining either satellite, or, mobile phone based communication links.
Plot showing the stabilisation of height control to within +/- 6m.
From www.google.com/univ/stanford search term = “UAV” to locate AIAA035592.pdf
A swarm of UAVs ready for a mission. From www.cloudcaptech.com wasco_5RnR_uavs.jpg.
A swarm of UAVs, including some back-up planes, could be used in one, or, in a combination of any, of the following flight configurations, due to their excellent speed and precision flight path control, to complete a high resolution aerial survey in record time:
Here is some very interesting work on UAV swarms by Dr Owen Holland, at the University of Essex, as described on his web site...
The above image and the text below from http://cswww.essex.ac.uk/staff/owen/research.htm
These two projects are exploring ways of getting a group of small aircraft to fly like a flock of birds, while at the same time performing non-trivial task-related distributed computation across a wireless network. The UltraSwarm is the indoor version the initial development used Proxflyer miniature helicopters. This work is in collaboration with John Woods and Adrian Clark from the Electronic Systems Engineering Department, and with computer science PhD student Renzo de Nardi who does most of the work, and it was initially funded by the University of Essex Research Promotion Fund.
The construction of the first prototype UltraSwarm node has been successfully completed - it is fitted with a Gumstix miniature Linux computer and a Bluetooth module, and we believe it is currently the smallest flying web server in the world - in the picture it is serving up the project web page over the Bluetooth link! We're now evaluating a new aerial platform - the Hirobo Lama XRB SR . When the flock has been completed, the Bluetooth modules will be configured as a single Piconet with the master on the arena-based computer system. Like the prototype, each helicopter will also carry a stripped-down colour video camera (a spycam) which will be used both for flight control, and for gathering data for a cooperative visual task. The background of this project is described here , in a paper presented at the IEEE Swarm Intelligence Symposium in June 2005. There is a more up to date version featuring the new platform here .
For the Flying Gridswarm, I am again working with several members of the Electronics Systems Engineering Department at the University of Essex (John Woods, Adrian Clark, Martin Fleury, and others). The project is based around a commercially available model aerobatic trainer - a very powerful machine capable of 120m.p.h. We have fitted the first aircraft with an autopilot system, and are currently evaluating its performance. The next stage will be to add a Linux-based miniature computer system, such as Gumstix , along with an 802.11 wireless LAN, and then to explore appropriate methods of enabling and controlling flocking, but first we have to find somewhere safe to do it... For some details of this project, and some useful links to related projects, see gridswarms.essex.ac.uk .
The Brumby III Unmanned Aircraft developed by Ali Goktogan and his colleagues at the University of Sydney have been used in multiple UAV studies, as outlined in the following paper:
The following diagrams were copied from the above paper
Download a copy of the paper by Ali Goktogan.