Chaos in Switching Converters for Power Management : Designing for Prediction and Control

Rodriguez Vilamitjana, Enric

ISBN 10: 1493900587 / ISBN 13: 9781493900589

Published by Springer 2014-09, 2014

About this Item

Seller Inventory # 6666-IUK-9781493900589

Bibliographic Details

• Title: Chaos in Switching Converters for Power Management : Designing for Prediction and Control
• Publisher: Springer 2014-09
• Publication Date: 2014
• Language: English
• ISBN 10: 1493900587
• ISBN 13: 9781493900589
• Binding: PF
• Condition: New

About this title

Synopsis

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.

From the Back Cover

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.