Robust PI speed tracking control for PMSM system based on convex optimization algorithm

Xiaokang Sun; Yang Yi; Wei Xing Zheng; Tianping Zhang

doi:10.1109/ChiCC.2014.6895659

Robust PI speed tracking control for PMSM system based on convex optimization algorithm

Xiaokang Sun, Yang Yi, Wei Xing Zheng, Tianping Zhang

School of Computer, Data & Mathematical Sciences

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

11 Citations (Scopus)

Abstract

In order to optimize the speed-control performance of the permanent magnet synchronous motor (PMSM) driver system, a novel proportional-integral (PI) speed tracking control algorithm with convex optimization techniques is developed in this paper. Instead of debugging repeatedly or depending on experience to obtain PI control gains, an LMI-based PI control algorithm is proposed to ensure the PMSM system stability and convergence of the tracking error of angular velocity to zero. Moreover, the load torque disturbance attenuation performance with L1 optimization index can also be guaranteed simultaneously. It is noted that rigorous stability and performance analysis for the speed-control of PMSM system can be provided by the designed optimization algorithm. Finally, simulation studies and results demonstrate that the proposed method obtains good robust tracking performance.

Original language	English
Title of host publication	Proceedings of 2014 33rd Chinese Control Conference (CCC 2014), Nanjing, China, 28-30 July 2014
Publisher	IEEE
Pages	4294-4299
Number of pages	6
ISBN (Print)	9789881563842
DOIs	https://doi.org/10.1109/ChiCC.2014.6895659
Publication status	Published - 2014
Event	Chinese Control Conference - Duration: 28 Jul 2014 → …

Publication series

Name
ISSN (Print)	1934-1768

Conference

Conference	Chinese Control Conference
Period	28/07/14 → …

Keywords

control theory
matrix inequalities
permanent magnet synchronous otor

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ChiCC.2014.6895659

Cite this

@inproceedings{ff5d3bc3668f447c8e1187a1cbe4568a,

title = "Robust PI speed tracking control for PMSM system based on convex optimization algorithm",

abstract = "In order to optimize the speed-control performance of the permanent magnet synchronous motor (PMSM) driver system, a novel proportional-integral (PI) speed tracking control algorithm with convex optimization techniques is developed in this paper. Instead of debugging repeatedly or depending on experience to obtain PI control gains, an LMI-based PI control algorithm is proposed to ensure the PMSM system stability and convergence of the tracking error of angular velocity to zero. Moreover, the load torque disturbance attenuation performance with L1 optimization index can also be guaranteed simultaneously. It is noted that rigorous stability and performance analysis for the speed-control of PMSM system can be provided by the designed optimization algorithm. Finally, simulation studies and results demonstrate that the proposed method obtains good robust tracking performance.",

keywords = "control theory, matrix inequalities, permanent magnet synchronous otor",

author = "Xiaokang Sun and Yang Yi and Zheng, {Wei Xing} and Tianping Zhang",

year = "2014",

doi = "10.1109/ChiCC.2014.6895659",

language = "English",

isbn = "9789881563842",

publisher = "IEEE",

pages = "4294--4299",

booktitle = "Proceedings of 2014 33rd Chinese Control Conference (CCC 2014), Nanjing, China, 28-30 July 2014",

note = "Chinese Control Conference ; Conference date: 28-07-2014",

}

TY - GEN

T1 - Robust PI speed tracking control for PMSM system based on convex optimization algorithm

AU - Sun, Xiaokang

AU - Yi, Yang

AU - Zheng, Wei Xing

AU - Zhang, Tianping

PY - 2014

Y1 - 2014

N2 - In order to optimize the speed-control performance of the permanent magnet synchronous motor (PMSM) driver system, a novel proportional-integral (PI) speed tracking control algorithm with convex optimization techniques is developed in this paper. Instead of debugging repeatedly or depending on experience to obtain PI control gains, an LMI-based PI control algorithm is proposed to ensure the PMSM system stability and convergence of the tracking error of angular velocity to zero. Moreover, the load torque disturbance attenuation performance with L1 optimization index can also be guaranteed simultaneously. It is noted that rigorous stability and performance analysis for the speed-control of PMSM system can be provided by the designed optimization algorithm. Finally, simulation studies and results demonstrate that the proposed method obtains good robust tracking performance.

AB - In order to optimize the speed-control performance of the permanent magnet synchronous motor (PMSM) driver system, a novel proportional-integral (PI) speed tracking control algorithm with convex optimization techniques is developed in this paper. Instead of debugging repeatedly or depending on experience to obtain PI control gains, an LMI-based PI control algorithm is proposed to ensure the PMSM system stability and convergence of the tracking error of angular velocity to zero. Moreover, the load torque disturbance attenuation performance with L1 optimization index can also be guaranteed simultaneously. It is noted that rigorous stability and performance analysis for the speed-control of PMSM system can be provided by the designed optimization algorithm. Finally, simulation studies and results demonstrate that the proposed method obtains good robust tracking performance.

KW - control theory

KW - matrix inequalities

KW - permanent magnet synchronous otor

UR - http://handle.uws.edu.au:8081/1959.7/uws:29095

UR - http://ccc.amss.ac.cn/2014/

U2 - 10.1109/ChiCC.2014.6895659

DO - 10.1109/ChiCC.2014.6895659

M3 - Conference Paper

SN - 9789881563842

SP - 4294

EP - 4299

BT - Proceedings of 2014 33rd Chinese Control Conference (CCC 2014), Nanjing, China, 28-30 July 2014

PB - IEEE

T2 - Chinese Control Conference

Y2 - 28 July 2014

ER -

Robust PI speed tracking control for PMSM system based on convex optimization algorithm

Abstract

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Keywords

UN SDGs

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