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Intelligent Autonomous Systems 12 pp 193–200Cite as

Linear Kalman Filter for Dead Time Affected Measurement Signals Implemented in a Small Scale Automated Guided Vehicle

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 193))

Abstract

This paper describes an efficient way to calculate state estimations with a linear Kalman filter, if the measurement signal is subject to a fix dead time. In addition the presented solution can handle measurement signals with arbitrarily high sample times. After the derivation of the algorithm an application with high measurement signal dead time is explained. Finally a simulation depicts the result of the algorithm being implemented on the described application.

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References

  1. Franke, J., Lütteke, F.: Small Scale Versatile Autonomous Indoor Transportation System. In: Proceedings of International Chemnitz Manufacturing Colloquium (ICMC 2010), Chemnitz, Germany, Wissenschaftliche Scripten, pp. 897–904 (2010)

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  2. Welsh, G., Bishop, G.: An introduction to the kalman filter. University of North Carolina at Chapel Hill (1995)

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  3. Ullrich, G.: Fahrerlose Transportsysteme. Vieweg+Teubner, Wiesbaden (2011)

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Author information

Authors and Affiliations

  1. Institute for Manufacturing Automation and Production Systems, University of Erlangen-Nuremberg (FAU), Erlangen, Germany

    F. Lütteke & J. Franke

Authors
  1. F. Lütteke
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  2. J. Franke
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Corresponding author

Correspondence to F. Lütteke .

Editor information

Editors and Affiliations

  1. , School of Information and Communication, Sungkyunkwan University, 300 Chunchun-Dong Jangan-Ku, Kyunggi-Do, 440-746, Korea, Republic of (South Korea)

    Sukhan Lee

  2. Science and Technology, Daegu Gyeongbuk Institute of, 50-1, Sang-Ri, Hyeonpung-Myeon, Dalseong-Gun, Daegu, 711-873, Korea, Republic of (South Korea)

    Hyungsuck Cho

  3. Konkuk University, Neungdong-ro, Gwangjin-gu 120, Seoul, 143-701, Korea, Republic of (South Korea)

    Kwang-Joon Yoon

  4. , Department of Electronics Engineering, Pusan National University, Geum Jeong-ku, Pusan, 609-735, Korea, Republic of (South Korea)

    Jangmyung Lee

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Lütteke, F., Franke, J. (2013). Linear Kalman Filter for Dead Time Affected Measurement Signals Implemented in a Small Scale Automated Guided Vehicle. In: Lee, S., Cho, H., Yoon, KJ., Lee, J. (eds) Intelligent Autonomous Systems 12. Advances in Intelligent Systems and Computing, vol 193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33926-4_18

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  • DOI: https://doi.org/10.1007/978-3-642-33926-4_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33925-7

  • Online ISBN: 978-3-642-33926-4

  • eBook Packages: EngineeringEngineering (R0)

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