Date of Award:
5-2010
Document Type:
Dissertation
Degree Name:
Doctor of Philosophy (PhD)
Department:
Electrical and Computer Engineering
Committee Chair(s)
YangQuan Chen
Committee
YangQuan Chen
Committee
Wei Ren
Committee
Don Cripps
Committee
Todd Moon
Committee
Vladimir Kulyukin
Abstract
This dissertation focuses on how to design and employ networked unmanned vehicles for remote sensing and distributed control purposes in the current information-rich world. The target scenarios are environmental or agricultural applications such as river/reservoir surveillance, wind profiling measurement, and monitoring/control of chemical leaks, etc. AggieAir, a small and low-cost unmanned aircraft system, is designed based on the remote sensing requirements from environmental monitoring missions. The state estimation problem and the advanced lateral flight controller design problem are further attacked focusing on the small unmanned aerial vehicle (UAV) platform. Then the UAV-based remote sensing problem is focused with further flight test results. Given the measurements from unmanned vehicles, the actuation algorithms are needed for missions like the diffusion control. A consensus-based central Voronoi tessellation (CVT) algorithm is proposed for better control of the diffusion process. Finally, the dissertation conclusion and some new research suggestions are presented.
Checksum
f63dd392f6bf32ce28a79145272dd59e
Recommended Citation
Chao, Haiyang, "Cooperative Remote Sensing and Actuation Using Networked Unmanned Vehicles" (2010). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 597.
https://digitalcommons.usu.edu/etd/597
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