Open AccessOptimization of Single Phase fed three phase VFD using ANN
Author(s) -
Rekha Mudundi*,
Mohit Kumar
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a3003.109119
Subject(s) - ripple , control theory (sociology) , rectifier (neural networks) , voltage , matlab , controller (irrigation) , capacitor , power (physics) , computer science , three phase , engineering , electrical engineering , control (management) , artificial neural network , agronomy , physics , stochastic neural network , quantum mechanics , artificial intelligence , machine learning , recurrent neural network , biology , operating system
Several applications in rural areas necessitates the use of single phase fed three-phase VFD’s which need to consider certain constraints. These constraints are usually addressed by strictly de-rating the VFD considering only the DC bus voltage ripple. The other constraints like peak currents of the input diode bridge rectifier and beyond current rating of input terminal blocks in addition voltage ripple across the DC bus capacitor need to be considered for a finest performance of VFD which confines the output power capability to the single-phase rated value of the VFD. A novel motor q-axis current with ANN algorithm is introduced to overcome this problem which takes in to account of all the component stresses which need to be addressed. The simulation for the proposed model is done in MATLAB/Simulink environment. The analysis of average and ripple current controller of motor q-axis current and DC bus ripple voltage is done using the proposed methods.