State Estimation and Control for Low-cost Unmanned Aerial Vehicles

  • Chingiz Hajiyev
  • Halil Ersin Soken
  • Sıtkı Yenal Vural

Table of contents

  1. Front Matter
    Pages i-xii
  2. Chingiz Hajiyev, Halil Ersin Soken, Sıtkı Yenal Vural
    Pages 1-7
  3. Chingiz Hajiyev, Halil Ersin Soken, Sıtkı Yenal Vural
    Pages 9-23
  4. Chingiz Hajiyev, Halil Ersin Soken, Sıtkı Yenal Vural
    Pages 25-49
  5. Chingiz Hajiyev, Halil Ersin Soken, Sıtkı Yenal Vural
    Pages 51-70
  6. Chingiz Hajiyev, Halil Ersin Soken, Sıtkı Yenal Vural
    Pages 71-94
  7. Chingiz Hajiyev, Halil Ersin Soken, Sıtkı Yenal Vural
    Pages 95-108
  8. Chingiz Hajiyev, Halil Ersin Soken, Sıtkı Yenal Vural
    Pages 109-127
  9. Chingiz Hajiyev, Halil Ersin Soken, Sıtkı Yenal Vural
    Pages 129-139
  10. Chingiz Hajiyev, Halil Ersin Soken, Sıtkı Yenal Vural
    Pages 141-170
  11. Chingiz Hajiyev, Halil Ersin Soken, Sıtkı Yenal Vural
    Pages 171-200
  12. Chingiz Hajiyev, Halil Ersin Soken, Sıtkı Yenal Vural
    Pages 201-221
  13. Back Matter
    Pages 223-232

About this book

Introduction

This book discusses state estimation and control procedures for a low-cost unmanned aerial vehicle (UAV). The authors consider the use of robust adaptive Kalman filter algorithms and demonstrate their advantages over the optimal Kalman filter in the context of the difficult and varied environments in which UAVs may be employed. Fault detection and isolation (FDI) and data fusion for UAV air-data systems are also investigated, and control algorithms, including the classical, optimal, and fuzzy controllers, are given for the UAV. The performance of different control methods is investigated and the results compared.

State Estimation and Control of Low-Cost Unmanned Aerial Vehicles covers all the important issues for designing a guidance, navigation and control (GNC) system of a low-cost UAV. It proposes significant new approaches that can be exploited by GNC system designers in the future and also reviews the current literature. The state estimation, control and FDI methods are illustrated by examples and MATLAB® simulations.

State Estimation and Control of Low-Cost Unmanned Aerial Vehicles will be of interest to  both  researchers  in  academia  and  professional  engineers  in  the aerospace  industry. Graduate students may also find it useful, and some sections are suitable for an undergraduate readership.

Keywords

Fault Detection and Isolation Flight Control System Kalman Filter Robust Estimation Unmanned Aerial Vehicles

Authors and affiliations

  • Chingiz Hajiyev
    • 1
  • Halil Ersin Soken
    • 2
  • Sıtkı Yenal Vural
    • 3
  1. 1.Faculty of Aeronautics and AstronauticsIstanbul Technical UniversityIstanbulTurkey
  2. 2.Institute of Space and Astronautical Science (ISAS)Japan Aerospace Exploration Agency (JAXA)SagamiharaJapan
  3. 3.Faculty of Aeronautics and AstronauticsIstanbul Technical UniversityIstanbulTurkey

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-16417-5
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-16416-8
  • Online ISBN 978-3-319-16417-5
  • About this book
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