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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/17184
Title: Comparison of PI and neural network based controllers for shunt active power filter
Authors: Pedapenki K.K.
Gupta S.P.
Pathak, M. K.
Published in: Proceedings of 2015 International Conference on Control Instrumentation Communication and Computational Technologies, ICCICCT 2015
Abstract: Shunt active power filter, when used with non linear loads, provides an elegant solution to reactive power compensation as well as harmonie mitigation, leading to improvement in power quality. The present study deals with Neuro based controllers viz. neural network (NN) control and neuro fuzzy (NF) control for shunt active power filter. Their superiority over PI type of controller is demonstrated through extensive simulation results. © 2015 IEEE.
Citation: Proceedings of 2015 International Conference on Control Instrumentation Communication and Computational Technologies, ICCICCT 2015, (2016), 214- 218
URI: https://doi.org/10.1109/ICCICCT.2015.7475278
http://repository.iitr.ac.in/handle/123456789/17184
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Active Power Filter
Neural Networks Controller
Neuro Fuzzy Controller
Soft Computing
ISBN: 9.78147E+12
Author Scopus IDs: 56045289000
57211862460
37057883200
Author Affiliations: Pedapenki, K.K., Electrical Engineering Department, IIT Roorkee, Roorkee, India
Gupta, S.P., Electrical Engineering Department, IIT Roorkee, Roorkee, India
Pathak, M.K., Electrical Engineering Department, IIT Roorkee, Roorkee, India
Appears in Collections:Conference Publications [EE]

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