Design, Modeling and Validation of a T-Tail Unmanned Aerial Vehicle

Authors:
Zhuo Li;Nathan Hoffer;Brandon Stark;Yangquan Chen
Affiliations:
Center for Self-Organizing and Intelligent Systems, Department of Electrical & Computer Engineering, Utah State University, Logan, USA;Center for Self-Organizing and Intelligent Systems, Department of Electrical & Computer Engineering, Utah State University, Logan, USA;Center for Self-Organizing and Intelligent Systems, Department of Electrical & Computer Engineering, Utah State University, Logan, USA;Center for Self-Organizing and Intelligent Systems, Department of Electrical & Computer Engineering, Utah State University, Logan, USA
Venue:
Journal of Intelligent and Robotic Systems
Year:
2013

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Abstract

This paper addresses the design and modeling process of a T-tail unmanned aerial vehicle (UAV). A methodology is presented of how to make tradeoffs among the payload requirements, energy efficiency and aerodynamic stability. A linear decoupled model of longitudinal and lateral dynamics is abstracted from a physical airframe. Instead of subjectively estimating the order, error and time delay for system identification (system ID), equations of motion derived from aerodynamics are employed to provide more precise estimation of the model structure. System ID is carried out with regard to the flight data collected by the autopilot data logger. The resulted model is refined based on the simulation and comparison.