ProgramsView all programs
From the news
- Chancellor Amma Addresses the Parliament of World’s Religions
- Amrita Students Qualify for the European Mars Rover Challenge
Publication Type : Conference Proceedings
Publisher : 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT), p.1-5 .
Source : 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT), p.1-5 (2016)
Keywords : ANN, Artificial Neural Network (ANN), Artificial neural networks, Cerebellar Model Articulation Controller (CMAC), CMAC artificial neural network, distorted sinusoid wave, Estimation, Frequency estimation, Genetic algorithms, neural nets, power engineering computing, power system frequency, Power systems, Training
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Year : 2016
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.
Cite this Research Publication : D. K. Kartik, Prabhu E., and Nithin S, “Frequency Estimation of Power System Using CMAC Artificial Neural Network”, 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT). pp. 1-5, 2016.