Open AccessRecovery Current Sinusoidality Distortion in the Control System of Forced Discharge of Batteries into the Mains
Author(s) -
Sergey S. Frolov,
Dmitry A. Shatilov
Publication year - 2020
Publication title -
vestnik tambovskogo gosudarstvennogo tehničeskogo universiteta
Language(s) - English
Resource type - Journals
eISSN - 2542-1409
pISSN - 0136-5835
DOI - 10.17277/vestnik.2020.04.pp.540-554
Subject(s) - pulse width modulation , distortion (music) , rectifier (neural networks) , microcontroller , signal (programming language) , electromagnetic coil , electrical engineering , current (fluid) , inductance , voltage , computer science , control theory (sociology) , engineering , control (management) , artificial neural network , amplifier , stochastic neural network , cmos , machine learning , artificial intelligence , recurrent neural network , programming language
The requirements for the reverse recovery current sinusoidality are high. Therefore, when developing programs for microcontrollers for a universal system of pulse-width modulation of the recovery current, it is important to have information on the dependences of the sinusoidality distortion degree on the relationship between the total electromotive force of the battery and the mains voltage, the amplitude of the recovery current, the inductance of the active rectifier coil, through which it flows, as well as between the frequencies of the network and the control PWM signal. The results of research into the development of a microcontroller modulation system for a routine forced (training or diagnostic) discharge of storage batteries into a single-phase network are presented. The sought expressions for the dependences of the sinusoidality distortion degree are obtained on the basis of the results of the spectral transformation of the regenerative current function obtained in MathCAD when the latter is formed by the control signal with single-stroke double-sided PWM-2.