Chaos Analysis and Chaotic EMI Suppression of DC-DC Converters

Bo Zhang 지음

Wiley 2014년 11월 11일 출간

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Introduces chaos theory, its analytical methods and the means to apply chaos to the switching power supply designDC-DC converters are typical switching systems which have plenty of nonlinear behaviors, such as bifurcation and chaos. The nonlinear behaviors of DC-DC converters have been studied heavily over the past 20 years, yet researchers are still unsure of the practical application of bifurcations and chaos in switching converters. The electromagnetic interference (EMI), which resulted from the high rates of changes of voltage and current, has become a major design criterion in DC-DC converters due to wide applications of various electronic devices in industry and daily life, and the question of how to reduce the annoying, harmful EMI has attracted much research interest. This book focuses on the analysis and application of chaos to reduce harmful EMI of DC-DC converters. After a review of the fundamentals of chaos behaviors of DC-DC converters, the authors present some recent findings such as Symbolic Entropy, Complexity and Chaos Point Process, to analyze the characters of chaotic DC-DC converters. Using these methods, the statistic characters of chaotic DC-DC converters are extracted and the foundations for the following researches of chaotic EMI suppression are reinforced. The focus then transfers to estimating the power spectral density of chaotic PWM converters behind an introduction of basic principles of spectrum analysis and chaotic PWM technique. Invariant Density, and Prony and Wavelet analysis methods are suggested for estimating the power spectral density of chaotic PWM converters. Finally, some design-oriented applications provide a good example of applying chaos theory in engineering practice, and illustrate the effectiveness on suppressing EMI of the proposed chaotic PWM.Introduces chaos theory, its analytical methods and the means to apply chaos to the switching power supply desi

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CHARTER 1 NONLINEAR MODELS AND BEHAVIORS OF DC-DC CONVERTERS 11.1 Introduction 11.2 Overview of PWM DC-DC Converters 21.3 Overview of the Nonlinear Behaviour of DC-DC Converters 111.4 Review of Basic Dynamics Concepts 151.5 Conclusions 27References 27CHARTER 2 SYMBOLIC ANALYSIS OF THE NONLINEAR BEHAVIOR OF DC-DC CONVERTERS 312.1 Introduction 312.2 Overview of the Time Series Principle of Discrete Systems 322.3 Block Entropy 392.4 Symbolic Time series Analysis of DC-DC Converters 442.5 Conclusions 51References 52CHARTER 3 COMPLEXITY OF THE NONLINEAR BEHAVIOR OF DC-DC CONVERTERS 553.1 Introduction 553.2 Lempel-Ziv Complexity and Analysis of Nonlinear Behavior of DC-DC Converters based on L-Z Complexity 573.3 Switching Block of DC-DC Converters 603.4 Weight Lempel-Ziv Complexity and Analysis of Nonlinear Behavior of DC-DC Converters Based on Weight L-Z Complexity 643.5 Duplicate Symbolic Sequence and Complexity 683.6 Applied Example 743.7 Conclusions 81References 81CHARTER 4 INVARIANT PROBABILITY DISTRIBUTION OF DC-DC CONVERTERS 844.1 Introduction 844.2 Invariant Probability Distribution of Chaotic Map 854.3 Calculating Invariant Probability Distribution of the Chaotic Discrete-time Maps with Eigenvector Method 874.4 Invariant Probability Distribution of the Chaotic Mapping of the Boost Converter 884.5 Application Examples of Invariant Probability Distribution &944.6 Conclusions 100References 101CHARTER 5 EMI AND EMC OF SWITCHING POWER CONVERTERS 1025.1 Introduction 1025.2 EMI Origin of Electric Circuits 1035.3 Characteristic of

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저자(글) Bo Zhang