Improved Model - Free Sliding Mode Control Of PMSM Based On Finite-Time Generalized Proportional Integral Observer

被引：1

作者：

Wang, Dongdong ^{[1
,3
]}

Liu, Shuguang ^{[2
]}

Liu, Xudong ^{[1
,3
]}

Zhang, Zhixin ^{[1
,3
]}

Chen, Yongzhi ^{[1
,3
]}

机构：

[1] Qingdao Univ, Sch Automat, Qingdao 266071, Peoples R China

[2] Shandong Luruan Digital Technol Co LTD, Jinan 250000, Peoples R China

[3] Shandong Key Lab Ind Control Technol, Qingdao 266071, Peoples R China

来源：

2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS | 2023年

关键词：

Model-free control; PMSM; sliding mode control; finite-time generalized proportional integral observer;

D O I：

10.1109/DDCLS58216.2023.10166026

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Aiming at the problems of poor control performance and poor anti-interference performance of PMSM control system due to external load disturbance, model and parameter uncertainty, a composite control method of PMSM based on improved model-free sliding mode control is proposed. Firstly, the ultra-local model of PMSM system without considering motor parameters is established. Then, a model-free single-loop sliding mode speed controller is designed according to the ultra-local model of the system. Furthermore, for the total disturbance of the system, a finite-time generalized proportional integral observer (FT-GPIO) is established, which can estimate the total disturbance of the system more accurately and stably, and perform feedforward compensation to update the control information in real time. Finally, compared with the traditional control method, the simulation results show that the proposed control method has good dynamic performance, anti-interference ability and steady-state control accuracy.

引用

页码：501 / 505

页数：5

共 10 条

[1] Robust Composite Finite-Time Convergent Speed Control of Induction Machine Based on Multiple Sources Disturbance Estimation Technology Generalized Proportional Integral Observer [J].

Bai, Cong ;

Yin, Zhonggang ;

Luo, Jiawei ;

Luo, Peien ;

Liu, Jing .

IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS, 2022, 10 (05) :6160-6170

[2] Querying Similar Process Models Based on the Hungarian Algorithm [J].

Cao, Bin ;

Wang, Jiaxing ;

Fan, Jing ;

Yin, Jianwei ;

Dong, Tianyang .

IEEE TRANSACTIONS ON SERVICES COMPUTING, 2017, 10 (01) :121-135

[3] Adaptive Model-Free Control Based on an Ultra-Local Model With Model-Free Parameter Estimations for a Generic SISO System [J].

Safaei, Ali ;

Mahyuddin, Muhammad Nasiruddin .

IEEE ACCESS, 2018, 6 :4266-4275

[4]

Shi XJ., 2016, Small Spec Electr Mach, V44, P58

[5] A New Reaching Law for Antidisturbance Sliding-Mode Control of PMSM Speed Regulation System [J].

Wang, Yaoqiang ;

Feng, Yutao ;

Zhang, Xiaoguang ;

Liang, Jun .

IEEE TRANSACTIONS ON POWER ELECTRONICS, 2020, 35 (04) :4117-4126

[6] Robust Speed Regulation for PMSM Servo System With Multiple Sources of Disturbances via an Augmented Disturbance Observer [J].

Yan, Yunda ;

Yang, Jun ;

Sun, Zhenxing ;

Zhang, Chuanlin ;

Li, Shihua ;

Yu, Haoyong .

IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2018, 23 (02) :769-780

[7] Terminal Sliding Mode Control An Overview [J].

Yu, Xinghuo ;

Feng, Yong ;

Man, Zhihong .

IEEE OPEN JOURNAL OF THE INDUSTRIAL ELECTRONICS SOCIETY, 2021, 2 :36-52

[8] High-Precision Servo Control of Industry Robot Driven by PMSM-DTC Utilizing Composite Active Vectors [J].

Yuan, Tianqing ;

Wang, Dazhi ;

Wang, Xinghua ;

Wang, Xingyu ;

Sun, Zhenao .

IEEE ACCESS, 2019, 7 :7577-7587

[9] Robust Model-Free Nonsingular Terminal Sliding Mode Control for PMSM Demagnetization Fault [J].

Zhao, Kaihui ;

Yin, Tonghuan ;

Zhang, Changfan ;

He, Jing ;

Li, Xiangfei ;

Chen, Yue ;

Zhou, Ruirui ;

Leng, Aojie .

IEEE ACCESS, 2019, 7 :15737-15748

[10]

Zhou YA, 2016, PROCEEDINGS 2016 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), P175, DOI 10.1109/ICIT.2016.7474746

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