Publication Type:

Conference Paper

Source:

Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016, Institute of Electrical and Electronics Engineers Inc. (2016)

ISBN:

9781509012770

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992127881&partnerID=40&md5=4029a7eef678c7f768140d32be106e53

Keywords:

Cerebellar model articulation controller, Cmac artificial neural networks, Computer circuits, Estimation errors, Frequency estimation, Neural networks, Optimization, Optimization problems, Power system frequencies, Problem statement, Reconfigurable hardware, Soft computing, Softcomputing techniques

Abstract:

The power system frequency plays more important role in power system and the paper intends a different technique to estimate exact power system frequency of a distorted sinusoid wave. The estimation of frequency is articulated as optimization problem, and it aims to reduce the estimation error. And the problem statement is executed in soft computing technique CMAC Artificial Neural Network (ANN). The algorithm is implemented and performance is simulated. © 2016 IEEE.

Notes:

cited By 0; Conference of 2016 IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016 ; Conference Date: 18 March 2016 Through 19 March 2016; Conference Code:123144

Cite this Research Publication

KaDeepak Kartik, Prabhu, Ea, and Nithin, Sb, “Frequency estimation of power system using CMAC Artificial Neural Network”, in Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016, 2016.