03684nam 2200637Ia 450 991043804540332120200520144314.01-283-62239-497866139348401-4614-2128-410.1007/978-1-4614-2128-3(CKB)2560000000090357(EBL)994271(OCoLC)807986086(SSID)ssj0000745855(PQKBManifestationID)11470304(PQKBTitleCode)TC0000745855(PQKBWorkID)10860021(PQKB)10883116(DE-He213)978-1-4614-2128-3(MiAaPQ)EBC994271(PPN)168295814(EXLCZ)99256000000009035720120521d2013 uy 0engur|n|---|||||txtccrChaos in switching converters for power management designing for prediction and control /Enric Rodriguez Vilamitjana, Abdelali El Aroudi, Eduard Alarcon1st ed. 2013.New York Springerc20131 online resource (180 p.)Description based upon print version of record.1-4939-0058-7 1-4614-2127-6 Includes bibliographical references (p. 167-173) and index.Introduction -- Complex Behavior of VMC Buck Converter: Characterization -- Design-Oriented Models for Predicting Instabilities in a Buck Switching Power Converter -- Control of FSI in Switching Power Converters -- Extension to Alternative Topologies and Functionalities Aiming Power Management Integrated Circuits.This book addresses the need for models and techniques to predict stability boundaries, given trends toward miniaturization of switching power supplies in battery-operated portable devices, which lead to the exhibition of fast-scale chaotic instabilities.  The authors describe a method to predict stability boundaries from a design-oriented perspective, which captures the effect of the different parameters of the system upon the particular boundary.  Unlike previous methods involving complex analysis based on the discrete-time mathematical model, the method introduced here allows for prediction of the overall stability boundaries within the complete design space and is based upon a simple design-oriented index. Provides a valuable reference to the field of nonlinear dynamical behavior and bifurcation analysis and control of switch-mode power supplies. Shows limitations of existing models for predicting chaotic instabilities in switching power converters; Describes a new approach to predict  instabilities from a simple, ripple-based index, showing the effect of different converter parameters on stability boundaries; Provides a design-oriented  model able to predict concurrently both slow-scale and fast-scale instabilities; Enables readers to understand the causes of chaos and design new chaos controllers for switching power converters.Electric current convertersDesignSwitching circuitsDesignChaotic behavior in systemsElectric current convertersDesign.Switching circuitsDesign.Chaotic behavior in systems.621.317Rodriguez Vilamitjana Enric1060448El Aroudi Abdelali1757398Alarcon Eduard1757399MiAaPQMiAaPQMiAaPQBOOK9910438045403321Chaos in switching converters for power management4195232UNINA