An iterative model predictive control algorithm for UAV guidance

A novel aircraft path-following guidance algorithm based on model predictive control is proposed in this paper. The algorithm tracks a precomputed trajectory and produces reference commands for a low-level attitude controller. To solve the associated nonlinear optimization problem, an iterative sche...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2015-07, Vol.51 (3), p.2406-2419
Main Authors: Gavilan, Francisco, Vazquez, Rafael, Camacho, Eduardo F.
Format: Article
Language:English
Subjects:
Aircraft
Airplanes
Algorithms
Computational modeling
Computer simulation
Iterative methods
Mathematical models
Nonlinearity
Optimization
Prediction algorithms
Predictive control
Predictive models
Trajectories
Trajectory
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A novel aircraft path-following guidance algorithm based on model predictive control is proposed in this paper. The algorithm tracks a precomputed trajectory and produces reference commands for a low-level attitude controller. To solve the associated nonlinear optimization problem, an iterative scheme is proposed, using as a feasible hotstart the guidance solution provided by a well-behaved L1 navigation law. Simulations show the effectiveness of the algorithm, even in the presence of disturbances such as wind.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2015.140153