OPERATION MODE ANALYSIS OF SEMICONDUCTOR CONVERTERS IN THE FREQUENCY DOMAIN
Journal: Electromechanical and energy saving systems (Vol.1, No. 29)Publication Date: 2015-03-30
Authors : А. Kalinov; М. Maliakova; V. Melnikov;
Page : 74-81
Keywords : semiconductor converter; analytic analysis; frequency-domain; Fourier transform.;
Abstract
The paper presents a method of improving the analysis in analytical form of energy characteristics of electrical circuits with semiconductor converters using the unit switching function through implementation in the frequency domain by using discrete convolution algorithm. Verification of the proposed method was carried out on the example of the electrical circuit with controlled key regulator voltage sinusoidal voltage and active-inductive load. Within the framework of the present method to be able to determine the energy characteristics of the studied electrical circuit switching function was represented in the frequency domain in the form of cosine and sine array components. The next step was to load voltage as discrete convolution in the frequency domain harmonic components of switching functions and supply voltage. Based on arrays of harmonic components specified load voltage and expressions for the impedance load by harmonic current components. Discrete convolution array current and load voltage allowed to determine the frequency components of instantaneous power at the load, the receipt of which will determine the energy characteristics of the electrical circuit. Validation defined in the frequency domain analytical expressions switching functions, voltage, current and power load carried by comparing curves, based on the analytical expression of the curves constructed by inverse Fourier transform of the results of operations of the electrical signals in the frequency domain. It is shown that the method of analysis of electrical circuits of semiconductor devices using switching functions implemented in the frequency domain using discrete convolution algorithm can significantly reduce the time required to analyze, simplify the implementation of analytical calculations and achieve their automation and obtain the predicted outcome.
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Last modified: 2015-05-21 21:00:56