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Experimental Performance Analysis of Inverted Pendulum Platform

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Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems (AsiaSim 2016, SCS AutumnSim 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 645))

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Abstract

The focus of this paper is that the experimental design and performance analysis of inverted pendulum platform. Firstly, Different weighting matrices Q and R of LQR controller is set, and the effect on the cart-inverted pendulum system stability is analyzed. Different control cycles are then used to analyze their influence on the system stability. Finally, Time-delay impacts on the system performance are also validated. These experimental studies lay a solid foundation for future research of networked inverted pendulum system based on visual information.

This work is supported by National Science Foundation of China (61473182, 61533010), Science and Technology Commission of Shanghai Municipality (14JC1402200, 15JC1401900).

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Authors and Affiliations

  1. Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronical Engineering and Automation, Shanghai University, Shanghai, 200072, People’s Republic of China

    Dajun Du, Wangpei Li, Bin Zhan & Minrui Fei

  2. Department of Engineering and Design, University of Sussex, Brighton, BN1 9QT, UK

    Taicheng Yang

Authors
  1. Dajun Du
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  2. Wangpei Li
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  3. Bin Zhan
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  4. Minrui Fei
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  5. Taicheng Yang
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Corresponding author

Correspondence to Wangpei Li .

Editor information

Editors and Affiliations

  1. Beihang University , Bei**g, China

    Lin Zhang

  2. Beihang University , Bei**g, China

    **ao Song

  3. Beihang University , Bei**g, China

    Yunjie Wu

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Du, D., Li, W., Zhan, B., Fei, M., Yang, T. (2016). Experimental Performance Analysis of Inverted Pendulum Platform. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 645. Springer, Singapore. https://doi.org/10.1007/978-981-10-2669-0_46

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  • DOI: https://doi.org/10.1007/978-981-10-2669-0_46

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2668-3

  • Online ISBN: 978-981-10-2669-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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