20th Annual IEEE Power Electronics Specialists Conference
DOI: 10.1109/pesc.1989.48523
|View full text |Cite
|
Sign up to set email alerts
|

On the use of averaging for the analysis of power electronic systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
65
0
1

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 61 publications
(66 citation statements)
references
References 9 publications
0
65
0
1
Order By: Relevance
“…GSSA method is taken out from Fourier Transformations for a non-periodic signal [28][29][30]. The method is based upon a principle that an x(t) waveform between infinite time interval of (t-T, t] can be approached with arbitrary accuracy using finite coefficients of Fourier Transformation [31,32].…”
Section: Generalized State-space Averaging Methods (Gssa) Methodsmentioning
confidence: 99%
“…GSSA method is taken out from Fourier Transformations for a non-periodic signal [28][29][30]. The method is based upon a principle that an x(t) waveform between infinite time interval of (t-T, t] can be approached with arbitrary accuracy using finite coefficients of Fourier Transformation [31,32].…”
Section: Generalized State-space Averaging Methods (Gssa) Methodsmentioning
confidence: 99%
“…To overcome this difficulty it is usually made use of average model (widely used for modeling static converters) [11][12]; it supposes that the switching period is very small compared to the system dynamics. In our case, this is largely justified.…”
Section: Sa1 Sa2 Sa3 Sa4 S'a1 S'a2 S'a3 S'a4mentioning
confidence: 99%
“…A power converter circuit is made of many devices. Many abstraction models have been developed and detailed in literature (Middlebrook, 1976), (Cùk, 1977), (Krein, 1990), (Lee, 1985), (Sanders, 1991), (Smedley, 1994), (Ben-Yaakov, 1995), (Lai, 1995), (Maksimovic, 1998), (Xu, 1994), (Olivier, 2000). A functional view of a power converter has been proposed as the so-called average model.…”
Section: Analytical Compact Modelsmentioning
confidence: 99%