Abstract
This paper presents design of Fuzzy Logic Controller (FLC) and Neural Network Controller (NNC) as a Regulator for effective voltage control over a Simple and a Stabilized regulator in order to maintain stability and enhance the closed-loop performance of a power system using a fast computing user friendly Graphical User Interface(GUI). The gains and tuning parameters are kept almost same in Simple, Stabilized, Fuzzy Logic and Neural Network Regulator. The step responses are interfaced on a common GUI page, the performance of Fuzzy Logic Regulator in comparison to the conventional fixed gain regulators proves better but Neural Network Controller has the best results.
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© 2012 Springer India Pvt. Ltd.
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Giri, P.D., Shah, S.K. (2012). Fuzzy Logic Controller and Neural Network Controller as a Power System Regulator Implemented on GUI. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 130. Springer, India. https://doi.org/10.1007/978-81-322-0487-9_24
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DOI: https://doi.org/10.1007/978-81-322-0487-9_24
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Publisher Name: Springer, India
Print ISBN: 978-81-322-0486-2
Online ISBN: 978-81-322-0487-9
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