Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation

Language: English

Published by LAP LAMBERT Academic Publishing Mär 2016, 2016

3659854689 / 9783659854682

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This item is printed on demand - Print on Demand Titel. Neuware -Quad rotors are types of unmanned air vehicles that became an attractive topic to an enormous number of people worldwide. This book focuses on sensor fusion of low-cost inertial sensors: a tri-axis accelerometer, a tri-axis gyroscope and a tri-axis magnetometer. Three types of filters were implemented in this book: two models of linear complementary filter (LCF), two models of linear Kalman filter (KF) and a quaternion-based extended Kalman filter (EKF). A total of five filter models were tested and verified using experimental data sets through three distinct scenarios. Six different data sets were chosen, each with antithetic characteristics, to test the filters on them. On the basis of the results of this research, it can be concluded that taking into consideration accelerometer bias improves the performance of the filter. KF shows the best performance as it combines the characteristics of short computing time and accurate estimation results suiting the aim of the book which is to allow the quad rotor to hover.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 200 pp. Englisch.

Seller Inventory # 9783659854682

Title
Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation
Author
Samir Ayman
Publisher
LAP LAMBERT Academic Publishing Mär 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659854689
ISBN 13
9783659854682
Item weight
316 grams
Dimensions
220x150x13 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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