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Full Predictive Control of Permanent Magnet Synchronous Machine Based on Differential-Free Disturbance Position-Torque Observer and Online Parameter Identification
ID：114 View Protection：PUBLIC Updated Time：2023-06-12 16:01:56 Hits：1132 Poster Presentation

Start Time：2023-06-19 10:15（Asia/Shanghai）

Duration：0min

Session：E Poster Session » E3Poster Session 3

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Abstract
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。
Keywords
model predictive control (MPC);permanent magnet synchronous machine (PMSM);sensor-less control;online parameter identification (OPI).
Speaker
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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Important Date

  • Conference Date

    Jun 16

    2023

    to

    Jun 19

    2023

  • Jun 15 2023

    Contribution Submission Deadline

  • Jul 02 2023

    Registration deadline

Sponsored By
Huazhong University of Science and Technology, China
(IEEE PELS)
IEEE
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