Torque Ripple Suppression of PMSM Speed Regulation System Using Neural Network

被引：3

作者：

Zhao, Chenhao ^{[1
]}

Zuo, Yuefei ^{[1
]}

Wang, Huanzhi ^{[1
]}

Hou, Qiankang ^{[2
]}

Zhu, Shengdao ^{[1
]}

Lee, Christopher H. T. ^{[1
]}

机构：

[1] Nanyang Technol Univ, Singapore, Singapore

[2] Jiangsu Univ, Zhenjiang, Jiangsu, Peoples R China

来源：

2022 IEEE 7TH SOUTHERN POWER ELECTRONICS CONFERENCE, SPEC | 2022年

关键词：

Torque ripple; ADRC; Neural Network;

D O I：

10.1109/SPEC55080.2022.10058287

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper, a neural network (NN) based torque compensator is combined with a third order extended state observer (ESO) in active disturbance rejection control (ADRC) system to suppress the torque ripple for PMSM low speed drives. The ESO can observe and reject low frequency disturbance, while the torque harmonics caused by cogging torque and inverter nonlinearity, etc. contain certain high frequency component. Therefore, a two layers NN compensator is proposed to further suppress the torque harmonics. After training, the NN can output a feedforward torque compensation to further reduce the torque ripple. Experiment results validate the effectiveness of the proposed method.

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页数：6

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