Title :
A High-level model predictive control guidance law for unmanned aerial vehicles
Author :
Francisco Gavilan;Rafael Vazquez;Eduardo F. Camacho
Author_Institution :
Dept. of Aerospace Engineering, Universidad de Sevilla, Camino de los Descubrimientos s.n., 41092, Spain
fDate :
7/1/2015 12:00:00 AM
Abstract :
This tutorial paper describes a high-level guidance algorithm based on model predictive control. The algorithm follows a precomputed flight plan (which provides a reference trajectory based on straight segments) by calculating the aerodynamic velocity, flight path angle and bank angle commands for a low level attitude controller. To compute these control signals, the guidance law uses a nonlinear 3DoF aircraft model for state prediction that leads to a nonlinear optimization problem, which is solved using a iterative scheme. The algorithm uses as a hotstart a robust missile guidance law, thus guaranteeing feasibility. Simulation results show the effectiveness of the proposed guidance law.
Keywords :
"Optimization","Atmospheric modeling","Predictive models","Airplanes","Predictive control","Prediction algorithms","Trajectory"
Conference_Titel :
Control Conference (ECC), 2015 European
DOI :
10.1109/ECC.2015.7330728