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A Comparative Study of Two Types of Fuzzy Logic Controllers for Shunt Active Power Filters

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8947))

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Abstract

In this work, two types of fuzzy logic controllers have been designed for a shunt active power filter and their steady state as well as transient performance has been compared to a conventional PI-controller. The performance of the various controllers has been judged on the basis of their ability to reduce Total Harmonic Distortion and their ability to reduce DC-link capacitor voltage settling time during load change. The second factor is important since it signifies controller’s usefulness in rapid load changing industrial environment. Also, DC-link capacitor voltage rise at the time of decrease in load is taken as another factor for comparison as it might affect the voltage ratings of the power electronic devices used in the filter.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Institute of Technical Education and Research, SOA University, Bhubaneswar, India

    D. A. Gadanayak & Irani Majumder

Authors
  1. D. A. Gadanayak
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  2. Irani Majumder
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Correspondence to Irani Majumder .

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Editors and Affiliations

  1. Department of Electrical Engineering, IIT, New Delhi, India

    Bijaya Ketan Panigrahi

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

  3. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India

    Swagatam Das

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Gadanayak, D.A., Majumder, I. (2015). A Comparative Study of Two Types of Fuzzy Logic Controllers for Shunt Active Power Filters. In: Panigrahi, B., Suganthan, P., Das, S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2014. Lecture Notes in Computer Science(), vol 8947. Springer, Cham. https://doi.org/10.1007/978-3-319-20294-5_5

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  • DOI: https://doi.org/10.1007/978-3-319-20294-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20293-8

  • Online ISBN: 978-3-319-20294-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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