Open AccessA New Efficient Rectifier Circuit Based on Nonlinear Inductance Impedance Conversion
Author(s) -
Yanze Hou,
Yumo Zhang,
Qingchao Yao
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/696/1/012041
Subject(s) - rectifier (neural networks) , harmonics , inductance , precision rectifier , power factor , equivalent series inductance , electrical engineering , capacitor , peak inverse voltage , capacitance , electrical impedance , voltage , electronic engineering , control theory (sociology) , computer science , engineering , physics , voltage optimisation , stochastic neural network , control (management) , electrode , quantum mechanics , machine learning , artificial intelligence , recurrent neural network , artificial neural network
The conventional capacitor filter bridge rectifier circuit has the characteristics which the input current is discontinuous, peaked and contains high-order harmonics. A new nonlinear inductance impedance transformation circuit is presented based on the the characteristics of general rectifier circuit in this paper. Before being used in capacitance filter of the general bridge rectifier and it ensures that when the power voltage is lower than that of rectifier the value of nonlinear resistance will vary with the voltage to check the dead area range for input current and decrease harmonics. It improves the character of power factor, and is important to energy saving.