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Tuning a Robust Performance of Adaptive Fuzzy-PI Driven DSTATCOM for Non-linear Process Applications

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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

The Classical PI controllers have been imperatively preferred for the control action of the active compensators in a power distribution system. However, the performance of these controllers is affected greatly by varying parameters and uncertainties in modeling and also high stability issues. In other side fuzzy logic based PI controllers have more robust and accurate appearance. The main intention of this work is to analyze and implementation of an adaptive intelligent controller for DSTATCOM for the expedited in-phase vectorial formulation template with mamdani fuzzy structure. The in-phase de-opposition of the current wave injected by the compensator is able to enhancing power quality features at PCC level. The efficient performance of robust adaptive fuzzy algorithm for the PI gain values are to be controlled by the operation of DSTATCOM. It enforce the non-adaptive control actions in terms of expressive dynamic response, inferior steady state error and achieve good stability with the appreciate dynamic behavior of adaptive intelligent type DSTATCOM under Matlab/Simulink tool.

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Authors and Affiliations

  1. University of Hyderabad, Hyderabad, India

    G. Satyanarayana

  2. Vishnu Institute of Technology, Bhimavaram, India

    K. Lakshmi Ganesh

Authors
  1. G. Satyanarayana
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  2. K. Lakshmi Ganesh
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Corresponding author

Correspondence to G. Satyanarayana .

Editor information

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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Satyanarayana, G., Lakshmi Ganesh, K. (2015). Tuning a Robust Performance of Adaptive Fuzzy-PI Driven DSTATCOM for Non-linear Process Applications. 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_46

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  • DOI: https://doi.org/10.1007/978-3-319-20294-5_46

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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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