Multi-objective Design and Optimization of Inductors: A Generalized Software-Driven Approach

被引：4

作者：

Wang, Xiaorui ^{[1
]}

Zeng, Hulong ^{[1
]}

Gunasekaran, Deepak ^{[1
]}

Peng, Fang Z. ^{[1
]}

机构：

[1] Michigan State Univ, Dept Eletr & Comp Engn, E Lansing, MI 48824 USA

来源：

2016 IEEE 17TH WORKSHOP ON CONTROL AND MODELING FOR POWER ELECTRONICS (COMPEL) | 2016年

关键词：

Optimum design; inductor design; magnetics modeling; genetic algorithm; Multi-objective optimization; MAGNETIC MATERIAL COMPARISONS; EI CORE; POWER;

D O I：

10.1109/COMPEL.2016.7556750

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a generalized method which can facilitate the design and optimization of an inductor regardless of its application scenarios (DC inductors or AC inductors). It is a software-driven approach and also applicable to both entry level and experienced designer. User inputs just require the voltage/current waveform data across the inductor, desired inductance, and the design optimum goal along with the constraints. A user-friendly front panel (graphical user interface) is designed to reduce the difficulty of inductor design. The software analyzes inductor using magnetic equivalent circuit and explores the pareto-optimal designs by means of multi-objective evolutionary algorithm such as NSGA-II. Buck converter filter inductor is designed to illustrate the software workflow.

引用

页数：7

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