Dead-time effects on the voltage spectrum of a PWM inverter

Moore, David C., Odavic, Milijana and Cox, Stephen M. (2014) Dead-time effects on the voltage spectrum of a PWM inverter. IMA Journal of Applied Mathematics, 79 (6). pp. 1061-1076. ISSN 1464-3634

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An inverter converts a direct-current power supply to an alternating-current power supply. This con- version is achieved by switching the output between the inputs at high frequency. The resulting output voltage may be described by a high-frequency train of variable-width pulses. Pulse widths are slowly modulated so that this output waveform contains a prescribed low-frequency component, which may then be isolated by an appropriate filtering regime. Techniques for determining the full harmonic spec- trum of input and output voltages and currents are well established, at least for an idealised mathematical model of the inverter. However, this model assumes that changes of inverter configuration can be ef- fected instantaneously, which is not quite the case in practice. In fact, a small amount of dead time must be incorporated into switching regimes in order to avoid short circuits of the input. Although dead time is an important feature of real power conversion devices, its effects on output voltage spectra have not previously been fully determined (except by imposing rather restrictive approximations). This situation is remedied in the present paper, in which we present closed-form expressions for the coefficients of the harmonic spectrum, corroborated by simulations.

Item Type: Article
Additional Information: This is a pre-copyedited, author-produced PDF of an article accepted for publication in IMA Journal of Applied Mathematics following peer review. The version of record is available online at
Keywords: power inverter; Fourier spectrum; harmonics; dead time
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
University of Nottingham, UK > Faculty of Science > School of Mathematical Sciences
Identification Number:
Depositing User: Cox, Stephen
Date Deposited: 11 Apr 2016 10:07
Last Modified: 04 May 2020 20:17

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