2003
DOI: 10.1201/9780203494554
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Complex Behavior of Switching Power Converters

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Cited by 412 publications
(154 citation statements)
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“…As is evident from Figure 5, this instability occurs, as we demonstrate below, on the short time scale of the switching [10,11,16], so it cannot be captured by the analysis of section 3, which accommodates only variations on the audio time scale. We thus turn next to an analysis of the difference equations (2.12), (2.14), (2.15), and (2.16).…”
Section: In Each Case S(t) Is Given By (412) With Frequency 5khz (mentioning
confidence: 99%
“…As is evident from Figure 5, this instability occurs, as we demonstrate below, on the short time scale of the switching [10,11,16], so it cannot be captured by the analysis of section 3, which accommodates only variations on the audio time scale. We thus turn next to an analysis of the difference equations (2.12), (2.14), (2.15), and (2.16).…”
Section: In Each Case S(t) Is Given By (412) With Frequency 5khz (mentioning
confidence: 99%
“…This implies that it may be possible to study this behaviour of the converter using the so-called nonlinear "averaged model" . However, this model cannot fully unfold the complete dynamics of the system, as a) it ignores the fast scale phenomena induced by the switching [2] and b) in some converters (like the buck converter) the averaged model cannot even locate the existence of a saddle node bifurcation. Therefore it is imperative to validate the averaged model prior to any usage for the analysis and design of suitable control laws.…”
Section: Bifurcation Analysismentioning
confidence: 99%
“…It is an interesting control problem with special characteristics and challenges, such as hard state and control constraints, the need for a fast and accurate static and dynamic performance, robustness to unpredictable but bounded supply voltage and load variations, low complexity of implementation and corresponding low-cost hardware. The basic challenge is that switched-mode converters are highly nonlinear systems [1,2,3] hybrid in nature, since they involve high-frequency switching among two different modes of operation.…”
Section: Introductionmentioning
confidence: 99%
“…The origin of these maps lies in the representation of temporal evolutions that are inherently discrete as well as the analysis of oscillations in continuous dynamical systems via the Poincar e section. Among the extensive list of examples, it can be mentioned the population models in Biology, [1][2][3] the cardiac activity models in Medicine, [4][5][6] the structure markets in Economics, 7,8 the impact systems in Mechanics, 9,10 the modulated lasers in Physics, [11][12][13] the power converters in Electronics, 14,15 etc. In many of these applications, quadratic maps have played an important role in the description of the detected dynamical scenarios.…”
Section: Introductionmentioning
confidence: 99%