A Survey and Categorization of Small Low-Cost Unmanned Aerial Vehicle System Identification

Authors:
Nathan V. Hoffer;Calvin Coopmans;Austin M. Jensen;Yangquan Chen
Affiliations:
Center for Self-Organizing and Intelligent Systems (CSOIS), Utah State University, Logan, USA;Center for Self-Organizing and Intelligent Systems (CSOIS), Utah State University, Logan, USA;AggieAir Flying Circus (AAFC), Utah Water Research Laboratory, Utah State University, Logan, USA;Mechatronics, Embedded Systems and Automation (MESA) Lab, University of California, Merced, Merced, USA
Venue:
Journal of Intelligent and Robotic Systems
Year:
2014

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Abstract

Remote sensing has traditionally be done with satellites and manned aircraft. While these methods can yield useful scientific data, satellites and manned aircraft have limitations in data frequency, process time, and real time re-tasking. Small low-cost unmanned aerial vehicles (UAVs) can bridge the gap for personal remote sensing for scientific data. Precision aerial imagery and sensor data requires an accurate dynamics model of the vehicle for controller development. One method of developing a dynamics model is system identification (system ID). The purpose of this paper is to provide a survey and categorization of current methods and applications of system ID for small low-cost UAVs. This paper also provides background information on the process of system ID with in-depth discussion on practical implementation for UAVs. This survey divides the summaries of system ID research into five UAV groups: helicopter, fixed-wing, multirotor, flapping-wing, and lighter-than-air. The research literature is tabulated into five corresponding UAV groups for further research.