ICUAS'17 Paper Abstract

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Paper FrB4.1

Azimov, Dilmurat (University of Hawaii at Manoa), Allen, John S. (University of Hawaii at Manoa)

Analytical Model and Control Solutions for Unmanned Aerial Vehicle Maneuvers in a Vertical Plane

Scheduled for presentation during the "GNC - UAS" (FrB4), Friday, June 16, 2017, 13:45−14:05, Lummus Island

2017 International Conference on Unmanned Aircraft Systems, June 13-16, 2017, Miami Marriott Biscayne Bay, Miami, FL,

This information is tentative and subject to change. Compiled on April 25, 2024

Keywords Autonomy, Path Planning, See-and-avoid Systems

Abstract

In this study, we present a class of nonlinear analytical solutions for the dynamics of a fixed wing unmanned aircraft vehicle (UAV). These solutions are needed for the integration and fusion of sensor data for input to guidance and control algorithms. Derivation and integration of the 3-rd order vector differential equation of motion, and its applications to various dynamical models are presented. It is assumed that (a) acceleration due to aerodynamic lift, and the difference between the propulsive thrust and aerodynamic drag accelerations are not changed; (b) the bank angle is zero; (c) the sideslip angle is zero. The general integral and the corresponding analytical solutions for a class of flight trajectories consist of six independent integrals for heading angle, magnitude of velocity vector, time, altitude, and two components of the position vector. This explicit expression with respect to the governing parameters facilitates its direct incorporation into the development and design of trajectories, targeting, guidance and control schemes. It is shown that the first integrals which have been shown valid for a variety of aircraft platforms, re-entry vehicles and missiles, can specifically be applied to UAVs in which such control solutions are needed for sense and avoid situations. An illustrative example highlights the applicability of the general integral for range of trajectories and conditions pertinent to UAV flight patterns.

 

 

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