A Fixed-Time Convergence Sliding Mode Observer Based Model-Free Predictive Current Control for PMSMs

Xinpo Lin; Yiang Luo; Yabin Gao; Jianxing Liu; Luca Peretti

doi:10.1109/IECON51785.2023.10311789

A Fixed-Time Convergence Sliding Mode Observer Based Model-Free Predictive Current Control for PMSMs

Xinpo Lin
, Yiang Luo
, Yabin Gao
, Jianxing Liu^*
, Luca Peretti

^*Corresponding author for this work

Harbin Institute of Technology
KTH Royal Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper presents a model-free predictive current controller for permanent magnet synchronous motors. The dynamic model of the motor currents is represented using an ultra-local model, where all system parameters, nonlinear terms, and other unmodeled dynamics are encapsulated into two lumped functions. These functions are estimated online using a second-order fixed-time sliding mode observer, allowing for system model estimation without requiring exact knowledge of the system parameters in advance. Subsequently, a predictive controller is designed by taking into consideration the inherent one-step delay. Simulation results are presented to showcase the effectiveness and efficacy of the proposed approach.

Original language	English
Title of host publication	IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
ISBN (Electronic)	9798350331820
DOIs	https://doi.org/10.1109/IECON51785.2023.10311789
State	Published - 2023
Event	49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, Singapore Duration: 16 Oct 2023 → 19 Oct 2023

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
ISSN (Print)	2162-4704
ISSN (Electronic)	2577-1647

Conference

Conference	49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
Country/Territory	Singapore
City	Singapore
Period	16/10/23 → 19/10/23

Keywords

PMSMs
fixed-time convergence observer
model-free predictive control
ultra-local model

Access to Document

10.1109/IECON51785.2023.10311789

Cite this

Lin, X., Luo, Y., Gao, Y., Liu, J., & Peretti, L. (2023). A Fixed-Time Convergence Sliding Mode Observer Based Model-Free Predictive Current Control for PMSMs. In IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society (IECON Proceedings (Industrial Electronics Conference)). IEEE Computer Society. https://doi.org/10.1109/IECON51785.2023.10311789

@inproceedings{580c6f14add7459d991667d4249c8eb9,

title = "A Fixed-Time Convergence Sliding Mode Observer Based Model-Free Predictive Current Control for PMSMs",

abstract = "This paper presents a model-free predictive current controller for permanent magnet synchronous motors. The dynamic model of the motor currents is represented using an ultra-local model, where all system parameters, nonlinear terms, and other unmodeled dynamics are encapsulated into two lumped functions. These functions are estimated online using a second-order fixed-time sliding mode observer, allowing for system model estimation without requiring exact knowledge of the system parameters in advance. Subsequently, a predictive controller is designed by taking into consideration the inherent one-step delay. Simulation results are presented to showcase the effectiveness and efficacy of the proposed approach.",

keywords = "PMSMs, fixed-time convergence observer, model-free predictive control, ultra-local model",

author = "Xinpo Lin and Yiang Luo and Yabin Gao and Jianxing Liu and Luca Peretti",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 ; Conference date: 16-10-2023 Through 19-10-2023",

year = "2023",

doi = "10.1109/IECON51785.2023.10311789",

language = "英语",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE Computer Society",

booktitle = "IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society",

address = "美国",

}

Lin, X, Luo, Y, Gao, Y , Liu, J & Peretti, L 2023, A Fixed-Time Convergence Sliding Mode Observer Based Model-Free Predictive Current Control for PMSMs. in IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), IEEE Computer Society, 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023, Singapore, Singapore, 16/10/23. https://doi.org/10.1109/IECON51785.2023.10311789

A Fixed-Time Convergence Sliding Mode Observer Based Model-Free Predictive Current Control for PMSMs. / Lin, Xinpo; Luo, Yiang; Gao, Yabin et al.
IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2023. (IECON Proceedings (Industrial Electronics Conference)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Fixed-Time Convergence Sliding Mode Observer Based Model-Free Predictive Current Control for PMSMs

AU - Lin, Xinpo

AU - Luo, Yiang

AU - Gao, Yabin

AU - Liu, Jianxing

AU - Peretti, Luca

PY - 2023

Y1 - 2023

N2 - This paper presents a model-free predictive current controller for permanent magnet synchronous motors. The dynamic model of the motor currents is represented using an ultra-local model, where all system parameters, nonlinear terms, and other unmodeled dynamics are encapsulated into two lumped functions. These functions are estimated online using a second-order fixed-time sliding mode observer, allowing for system model estimation without requiring exact knowledge of the system parameters in advance. Subsequently, a predictive controller is designed by taking into consideration the inherent one-step delay. Simulation results are presented to showcase the effectiveness and efficacy of the proposed approach.

AB - This paper presents a model-free predictive current controller for permanent magnet synchronous motors. The dynamic model of the motor currents is represented using an ultra-local model, where all system parameters, nonlinear terms, and other unmodeled dynamics are encapsulated into two lumped functions. These functions are estimated online using a second-order fixed-time sliding mode observer, allowing for system model estimation without requiring exact knowledge of the system parameters in advance. Subsequently, a predictive controller is designed by taking into consideration the inherent one-step delay. Simulation results are presented to showcase the effectiveness and efficacy of the proposed approach.

KW - PMSMs

KW - fixed-time convergence observer

KW - model-free predictive control

KW - ultra-local model

UR - https://www.scopus.com/pages/publications/85179512075

U2 - 10.1109/IECON51785.2023.10311789

DO - 10.1109/IECON51785.2023.10311789

M3 - 会议稿件

AN - SCOPUS:85179512075

T3 - IECON Proceedings (Industrial Electronics Conference)

BT - IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE Computer Society

T2 - 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

Y2 - 16 October 2023 through 19 October 2023

ER -

A Fixed-Time Convergence Sliding Mode Observer Based Model-Free Predictive Current Control for PMSMs

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