System Identification of a Micro Aerial Vehicle

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Journal Title

Journal ISSN

Volume Title

Sähkötekniikan korkeakoulu | Master's thesis

Date

2018-08-20

Department

Major/Subject

Space Robotics and Automation

Mcode

ELEC3047

Degree programme

Erasmus Mundus Space Master

Language

en

Pages

67

Series

Abstract

The purpose of this thesis was to implement an Model Predictive Control based system identification method on a micro-aerial vehicle (DJI Matrice 100) as outlined in a study performed by ETH Zurich. Through limited test flights, data was obtained that allowed for the generation of first and second order system models. The first order models were robust, but the second order model fell short due to the fact that the data used for the model was not sufficient.

Description

Supervisor

Visala, Arto

Thesis advisor

Visala, Arto

Keywords

MAV, system identification, MAV, quadcopter

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Citation