Date of Award:
5-2014
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Mechanical and Aerospace Engineering
Committee Chair(s)
R. Rees Fullmer
Committee
R. Rees Fullmer
Committee
Aaron Katz
Committee
YangQuan Chen
Abstract
Remote sensing has usually been done with satellites and manned aircraft. While they can be useful, satellites and manned aircraft have issues in how quickly you can get data, process it, and go back to get more data. Small low-cost unmanned aerial vehicles (UAVs) overcome these issues. To collect precise data a precise model of the UAV is needed to develop the autopilot, make sure the aircraft flies well, and does not break. One method of making a model is system identification (system ID). In this thesis system ID of a small low-cost fixed-wing T-tail UAV is done. The equations used to show how the aircraft moves are developed. The equations used to do the system ID are developed. Sensors and how the data is corrected are described. Results of two methods of system ID with flight data are shown. The model found from system ID fits for some of the data.
Checksum
2d91a1a0e4940f365ad1c6185d571de4
Recommended Citation
Hoffer, Nathan V., "System Identification of a Small Low-Cost Unmanned Aerial Vehicle Using Flight Data from Low-Cost Sensors" (2014). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 4274.
https://digitalcommons.usu.edu/etd/4274
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