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Robot Intelligence Technology and Applications 2012 pp 971–981Cite as

Position Control of a Quad-Rotor System

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 208))

Abstract

Research on unmanned aerial vehicles (UAV) has been quite active in robotics and control communities. Most of UAVs have been utilized for military missions in war zones. Recently, quad-rotor systems as one of UAVs are getting more attention in civilian applications since they have an omni directional movement capability and their control is relatively simple. In this paper, the Cartesian trajectory control of a quad-rotor system is presented along with attitude control. In order for a quad-rotor to perform the Cartesian position control task, global positioning sensors are required to locate the position. Here we are using a camera as a global sensor. Simulation and experimental studies are performed to test the feasibility of the proposed control method.

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Author information

Authors and Affiliations

  1. Dept. of Mechatronics Engineering, Chungnam National University, 220 Gung-dong, Yuseong-gu, Dajeon, 305-764, Korea

    Seungho Jeong & Seul Jung

Authors
  1. Seungho Jeong
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  2. Seul Jung
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Corresponding author

Correspondence to Seungho Jeong .

Editor information

Editors and Affiliations

  1. , Electrical Engineering and Computer Sci., KAIST, 291 Daehak-ro, Daejeon, 305-701, Korea, Republic of (South Korea)

    Jong-Hwan Kim

  2. Dept. Computer &, Information Technology (ICT), Purdue University, N. Grant St. 401, West Lafayette, 47907-1421, Indiana, USA

    Eric T. Matson

  3. , Dept. of Civil and Environmental Engg., KAIST, Daehak-ro 291, Daejeon, 305-701, Korea, Republic of (South Korea)

    Hyun Myung

  4. , Faculty of Engineering, The University of Auckland, Private Bag, Auckland, 1142, New Zealand

    Peter Xu

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Jeong, S., Jung, S. (2013). Position Control of a Quad-Rotor System. In: Kim, JH., Matson, E., Myung, H., Xu, P. (eds) Robot Intelligence Technology and Applications 2012. Advances in Intelligent Systems and Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37374-9_94

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  • DOI: https://doi.org/10.1007/978-3-642-37374-9_94

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37373-2

  • Online ISBN: 978-3-642-37374-9

  • eBook Packages: EngineeringEngineering (R0)

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