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An Intelligent System for Automatic Selection of DC-DC Converter Topology with Optimal Design...

by Lingxiao Xue
Publication Type
Conference Paper
Journal Name
AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM)
Book Title
AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM)
Publication Date
Page Numbers
1 to 5
Issue
1
Publisher Location
District of Columbia, United States of America
Conference Name
AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM)
Conference Location
Virtual, Tennessee, United States of America
Conference Sponsor
AAAI
Conference Date

In this paper, we present an intelligent system that has the capabilities of automatically selecting topology classes and optimizing circuit parameters of DC-DC power converters for a given design specification. The system, Machine-Learning-enhanced Automated Circuit Configuration and Evaluation of Power Converters (ML-ACCEPT), uses a hybrid of machine learning technologies, decision tree inference, reinforcement learning and deep neural networks. The system gives high accurate recommendations of design topology classes and computationally efficient results in optimizing power efficiencies in power converter design.