摘要详情

ID / 提交时间

297 / 2021-11-09 15:19:14

标题

Routing Planning of Power Electronic Circuit Based on Q-learning

关键字

Power Electronics, Q-learning, Routing Planning, Electronic Design Automation(EDA)

主题及专题

AI-driven technology > Other related AI-driven techniques

状态

终稿

作者

Gui He / Huazhong University of Science and Technology

Yu Chen / Huazhong University of Science and Technology；The State Key Laboratory of Advanced Electromagnetic Engineering and Technology

Siyu Tong / Huazhong University of Science and Technology

Yi Shang / Huazhong University of Science and Technology

Yuanhao Mo / Huazhong University of Science and Technology

摘要

PCB design of the main power loop is very important to power electronic circuits. PCB design includes three steps of component layout, routing planning, and detailed routing. Component layout and detailed routing can be easily finished in EDA software, but routing planning must consider the influences of electromagnetic compatibility, parasitic inductance, high dV/dt and dI/dt. It requires much expert knowledge and experience to make the routing planning, which exceeds the capabilities of EDA software. In this paper, a Q-learning-based routing planning method for power electronic circuits is proposed, which set reward functions according to routing rules of circuits, so the routing planning result can meet the specifications of power electronic circuit. According to the routing planning result, technicians can quickly complete the follow-up PCB design work. We use this method to complete the routing planning of a Buck circuit, and the experimental result verifies the applicability of the proposed method.

重要日期

会议日期

07月11日

2023

至

08月18日

2023
11月10日 2021

初稿截稿日期
12月10日 2021

注册截止日期
12月11日 2021

报告提交截止日期

主办单位

IEEE IAS

承办单位

IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST