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Distributed Multi-node of Fuzzy Control Considering Adjacent Node Effect for Temperature Control

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Book cover Advances in Brain Inspired Cognitive Systems (BICS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10989))

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Abstract

This paper presents a fuzzy logic control for a distributed multi-node temperature control. The fuzzy logic controller is also introduced to the system for keeping temperature index to be constant. Because real-time induction temperature has many differences with correlation in industry. So the temperature control of induction is more important to control temperature of each node. The result of main fuzzy controller and five node fuzzy controllers of temperature will be conducted in this paper. It is observed that the effect of adjacent node fuzzy controller on performance of distributed multi-node temperature. The node of adjacent fuzzy controller can avoid strong sway phenomenon, and industrial temperature control system introduced in paper can get good regulation quality.

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Funding

This work was supported by The Doctoral Scientific Research Foundation of Xi’an Polytechnic University (BS1413).

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Authors and Affiliations

  1. School of Electronic Information, Xi’an Polytechnic University, Xi’an, China

    Jianyu Wei & Yameng Jiao

Authors
  1. Jianyu Wei
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  2. Yameng Jiao
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Corresponding author

Correspondence to Jianyu Wei .

Editor information

Editors and Affiliations

  1. University of Strathclyde, Glasgow, UK

    Jinchang Ren

  2. Edinburgh Napier University, Edinburgh, UK

    Amir Hussain

  3. Northwestern Polytechnical University, Xi’an, China

    Jiangbin Zheng

  4. Chinese Academy of Sciences, Beijing, China

    Cheng-Lin Liu

  5. Anhui University, Hefei, China

    Bin Luo

  6. Guangdong Polytechnic Normal University, Guangzhou, China

    Huimin Zhao

  7. Northwestern Polytechnical University, Xi’an, China

    Xinbo Zhao

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Wei, J., Jiao, Y. (2018). Distributed Multi-node of Fuzzy Control Considering Adjacent Node Effect for Temperature Control. In: Ren, J., et al. Advances in Brain Inspired Cognitive Systems. BICS 2018. Lecture Notes in Computer Science(), vol 10989. Springer, Cham. https://doi.org/10.1007/978-3-030-00563-4_83

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  • DOI: https://doi.org/10.1007/978-3-030-00563-4_83

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00562-7

  • Online ISBN: 978-3-030-00563-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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