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Model predictive control of an unmanned aerial vehicle

Halit Firat Erdogan (Department of Mechanical Faculty, Istanbul Technical University, Istanbul, Turkey)
Ayhan Kural (Department of Mechanical Faculty, Istanbul Technical University, Istanbul, Turkey)
Can Ozsoy (Department of Mechanical Faculty, Istanbul Technical University, Istanbul, Turkey)

Aircraft Engineering and Aerospace Technology

ISSN: 0002-2667

Article publication date: 6 March 2017

845

Abstract

Purpose

The purpose of this paper is to design a controller for the unmanned aerial vehicle (UAV).

Design/methodology/approach

In this study, the constrained multivariable multiple-input and multiple-output (MIMO) model predictive controller (MPC) has been designed to control all outputs by manipulating inputs. The aim of the autopilot of UAV is to keep the UAV around trim condition and to track airspeed commands.

Findings

The purpose of using this control method is to decrease the control effort under the certain constraints and deal with interactions between each output and input while tracking airspeed commands.

Originality/value

By using constraint, multivariable (four inputs and seven outputs) MPC unlike the relevant literature in this field, the UAV tracked airspeed commands with minimum control effort dealing with interactions between each input and output under disturbances such as wind.

Keywords

Citation

Erdogan, H.F., Kural, A. and Ozsoy, C. (2017), "Model predictive control of an unmanned aerial vehicle", Aircraft Engineering and Aerospace Technology, Vol. 89 No. 2, pp. 193-202. https://doi.org/10.1108/AEAT-03-2015-0074

Publisher

:

Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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