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Takagi Sugeno Fuzzy for Motion Control of Ball on Plate System

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Recent Findings in Intelligent Computing Techniques

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 708))

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Abstract

This paper presents the Takagi Sugeno (TS) fuzzy scheme for stabilization and motion control of ball on plate system. Plant nonlinearity and inter-axis coupling are the two major challenges which enhance the complexity of controller design for ball on plate system. Hence, in this paper, we utilize the TS fuzzy-based input–output mapping to deal with the nonlinearities and model variation associated with the ball on plate system, which emulates the concept of visual servo control (VSC). The motivation for using TS fuzzy model is that it can capture the dynamics of a nonlinear plant model with fewer fuzzy rules and yield better accuracy compared to Mamdani fuzzy. Moreover, as TS fuzzy is a multimodal approach, it offers a systematic way to derive the fuzzy rules from the given input–output data. The performance of the control scheme is validated through simulation, and the tracking results prove that the TS fuzzy scheme can offer precise tracking control of ball on plate system.

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Author information

Authors and Affiliations

  1. School of Electrical Engineering, VIT University, Vellore, 632014, India

    Vinodh Kumar Elumalai, V. Keerthi Prasath, B. Khizer Ahamed, Rajeev Gupta & Sameer Kumar Mohapatra

Authors
  1. Vinodh Kumar Elumalai
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  2. V. Keerthi Prasath
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  3. B. Khizer Ahamed
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  4. Rajeev Gupta
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  5. Sameer Kumar Mohapatra
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Corresponding author

Correspondence to Vinodh Kumar Elumalai .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Pankaj Kumar Sa

  2. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Sambit Bakshi

  3. Department of Computer Engineering and Informatics, University of Patras, Patras, Greece

    Ioannis K. Hatzilygeroudis

  4. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Manmath Narayan Sahoo

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Elumalai, V.K., Keerthi Prasath, V., Khizer Ahamed, B., Gupta, R., Mohapatra, S.K. (2018). Takagi Sugeno Fuzzy for Motion Control of Ball on Plate System. In: Sa, P., Bakshi, S., Hatzilygeroudis, I., Sahoo, M. (eds) Recent Findings in Intelligent Computing Techniques . Advances in Intelligent Systems and Computing, vol 708. Springer, Singapore. https://doi.org/10.1007/978-981-10-8636-6_44

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  • DOI: https://doi.org/10.1007/978-981-10-8636-6_44

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8635-9

  • Online ISBN: 978-981-10-8636-6

  • eBook Packages: EngineeringEngineering (R0)

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