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Full Predictive Control of Permanent Magnet Synchronous Machine Based on Differential-Free Disturbance Position-Torque Observer and Online Parameter Identification
编号：114 访问权限：公开 更新：2023-06-12 16:01:56 浏览：874次 张贴报告

报告开始：2023年06月19日 10:15（Asia/Shanghai）

报告时间：0min

所在会场：[E] Poster Session [E3] Poster Session 3

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摘要
该文提出一种采用在线参数识别和无位置传感器技术的永磁同步电机（PMSM）全预测控制（FPC）。FPC包括一个速度外环和一个电流内环。使用递归最小二乘法（RLS-OPI）进行在线参数识别，以获得PMSM的电阻、磁联和电感。使用无衍生无干扰观测器（DFDO）进行无位置传感器，以获得速度和扭矩。仿真和实验结果表明，所提控制算法在不同温度下具有更快的响应和更好的动态性能。
关键词
model predictive control (MPC);permanent magnet synchronous machine (PMSM);sensor-less control;online parameter identification (OPI).
报告人
Jin Ping
Hohai University

Ping Jin (Member, IEEE) was born in Jiangsu, China, in 1981. He received the B.S. degree from the School of Automation, Nanjing University of Technology, Nanjing, China, in 2004, and the Ph.D. degree in electrical engineering from the Southeast University, Nanjing, China, in 2012. He is currently an Associate Professor with the School of Energy and Electrical Engineering, Hohai University, Nanjing, China. His research interests include magnetically coupled radio power transmission technology and energy management of base station energy storage battery.
 

Weiyuan Wang
Hohai University

Weiyuan Wang （Student Member, IEEE）received the B.S. degree in college of Automation and Electrical Engineering, the University of Jinan, Jinan, China, in 2021. He is currently working toward the M.Sc. degree in power electronics with the School of Energy and Electrical Engineering, Hohai University, Nanjing, China. His research focuses on sensor-less control of permanent magnet motor.
 

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重要日期

  • 会议日期

    06月16日

    2023

    至

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    2023

  • 06月15日 2023

    报告提交截止日期

  • 07月02日 2023

    注册截止日期

主办单位
Huazhong University of Science and Technology, China
(IEEE PELS)
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