How engineers model complex switching converters using state space averaging techniques
In short: This lecture explores the mathematical foundations of power electronics control. Learn how state space averaging and linearization allow engineers to derive control-to-output transfer functions, providing a systematic way to model the behavior of nonlinear switching converters.
In this session from the Spring 2023 MIT course on Power Electronics, instructor David Perreault details the process of state space averaging. This method is essential for modeling switching converters, which are inherently nonlinear systems.
The lecture further explains how to linearize these averaged models. By performing this linearization, engineers can successfully derive control-to-output transfer functions, a critical step in designing stable and effective control systems for power electronics applications.
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Sources
- Summary by Intellect · source: Lecture 25: Control, Part 2
- Also: Lecture 25: Control, Part 2 | Power Electronics | Electrical Engineering and Computer Science | MIT OpenCourseWare
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