Review of Electric Drive Techniques: Power Enhancement and Drive Intelligence

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門（英文）

発行日: 2024/01/01

タイトル(英語): Review of Electric Drive Techniques: Power Enhancement and Drive Intelligence

著者名: Gyu Cheol Lim (The Department of Electrical and Computer Engineering, Seoul National University), Jaehoon Shim (The Department of Electrical and Computer Engineering, Seoul National University), Jung-Ik Ha (The Department of Electrical and Computer Engine

著者名(英語): Gyu Cheol Lim (The Department of Electrical and Computer Engineering, Seoul National University), Jaehoon Shim (The Department of Electrical and Computer Engineering, Seoul National University), Jung-Ik Ha (The Department of Electrical and Computer Engineering, Seoul National University)

キーワード: power enhancement，drive intelligence，parameter mapping，machine learning

要約(英語): As various industrial fields electrified, the demands for high power capability and high-performance techniques for electric drive systems continue to increase. Several topologies of drive systems with state-of-the-art processors have been introduced and researched. In this context, this paper presents a comprehensive review on emerging techniques of power enhancement methods and intelligent drive techniques. In the conventional drive system fed by a voltage source inverter, the maximum output power of the motor drive systems is limited by the dc-link voltage. Primarily, the dc-link voltage has been increased either with voltage boosting or higher voltage batteries. However, topologies that enable higher voltage to be generated on the machine with the same dc-link voltage, such as a resonant or dual-inverter drive, have been introduced. This paper categorizes and reviews the power capability characteristics of different topologies. In the field of drive intelligence, many studies are being conducted through the improvement of digital signal processors (DSPs) and tools for data-driven modeling. These studies include intelligent control methods to improve real-time control performance and intelligent monitoring methods to ensure system stability. In more detail, the review section on drive intelligence covers i) the parameter mapping-based control method, ii) the machine learning-based control method, and iii) the data-driven system monitoring method.

本誌: IEEJ Journal of Industry Applications Vol.13 No.1 （2024）

本誌掲載ページ: 1-7 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejjia/13/1/13_23003141/_article/-char/ja/