NDLI: Validating the use of stochastic models for power electronic converters

Content Provider	IEEE Xplore Digital Library
Author	Nwankpa, C.O. Ginzburg, M.
Copyright Year	1993
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA (Nwankpa, C.O.; Ginzburg, M.)
Abstract	One of the drawbacks of using averaging models in the analysis and design of power electronic systems has been the uncertainty in determining the stability of the system since these techniques necessitate a small-signal restriction and thus cannot account for nonlinearities. This paper addresses this problem. It presents the replacement of the averaging models by stochastic models. The stochastic models for pulse-width modulated (PWM) converters are developed based on recent techniques employed from the theory of stochastic differential equations. An important feature of these stochastic models is the representation of perturbations in the duty ratio of switching converters as Gauss-Markov processes (or colored noises) keeping the nonlinear model intact. In these type of studies, the dynamics of the electronic system (switching converters) are modeled as a diffusion process, indicating that the system will exhibit transitions between stable states. This has lead to the introduction of the mean first passage time (MFPT) of the dynamic electronic system from a certain domain of attraction which can be used as an index of system stability.<>
Starting Page	1410
Ending Page	1413
File Size	484354
Page Count	4
File Format	PDF
ISBN	0780317602
DOI	10.1109/MWSCAS.1993.343371
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-08-16
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic processes Power electronics Power system modeling Stochastic resonance Pulse width modulation converters Pulse width modulation Switching converters Nonlinear dynamical systems Uncertainty Stability analysis
Content Type	Text
Resource Type	Article

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