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Rule Reduction of a Neuro-Fuzzy PI Controller with Real-Time Implementation on a Speed Control Process

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Proceedings of the Second International Conference on Computer and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 381))

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Abstract

This study is an attempt for neuro-fuzzy implementation of a prior-designed fuzzy PI controller (FPIC) with reduced number of rules but without sacrificing the controller performance up to a certain extent. To accomplish the goal, backpropagation-based learning algorithm is used to model a connectionist fuzzy controller based on an input–output data set. The resultant fuzzy controllers with reduced rule sets are much faster in operation and cheaper due to lesser memory space requirement. Effectiveness of the designed fuzzy controllers is studied through simulation as well as real-time experimentation on a servo speed control application. Both the simulation and experimental results substantiate the efficacy of the designed neuro-fuzzy controllers with lesser number of rules for approximating the behaviour of a nonlinear fuzzy controller with considerably larger rule base.

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Author information

Authors and Affiliations

  1. Department of AEIE, RCC Institute of Information Technology, Kolkata, India

    Arijit Ghosh

  2. Department of ETCE, Pailan Technical Campus, Kolkata, India

    Satyaki Sen

  3. Department of Applied Physics, University of Calcutta, Kolkata, India

    Chanchal Dey

Authors
  1. Arijit Ghosh
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  2. Satyaki Sen
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  3. Chanchal Dey
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Corresponding author

Correspondence to Arijit Ghosh .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  3. Computer Science & Engineering, Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  4. Electronics and Communication, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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Ghosh, A., Sen, S., Dey, C. (2016). Rule Reduction of a Neuro-Fuzzy PI Controller with Real-Time Implementation on a Speed Control Process. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 381. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2526-3_46

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  • DOI: https://doi.org/10.1007/978-81-322-2526-3_46

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2525-6

  • Online ISBN: 978-81-322-2526-3

  • eBook Packages: EngineeringEngineering (R0)

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