Stabilizing model predictive control for torque control of permanent magnet synchronous motor

Seok Kyoon Kim; Hyo Sung Park; Jung Ho Han; Young Il Lee

doi:10.1109/ChiCC.2014.6896297

Stabilizing model predictive control for torque control of permanent magnet synchronous motor

Seok Kyoon Kim
, Hyo Sung Park
, Jung Ho Han
, Young Il Lee

Dept. of Electrical and Information Engineering

Seoul National University of Science and Technology (SNUST)

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

5 Scopus citations

Abstract

In this paper, we propose a simple model predictive controller (MPC) combined with a disturbance observer (DOB) for regulating the torque of a permanent magnet synchronous motor (PMSM) without steady state error. Specifically, a DOB is devised for estimating the unknown disturbance caused by a plant-model mismatch using a Luenberger observer. The proposed MPC minimizes a cost function at each time step in the receding horizon manner. It is possible to obtain the online optimal solutions without relying on a numeric algorithm using the specific property of the input matrix of PMSM. Thereafter, it is proven that the proposed MPC scheme ensures global asymptotic stability of the closed-loop system in the presence of input constraints and that the integrator in the DOB eliminates any offset error. Through the experiments, it is shown that the proposed MPC scheme provides satisfactory torque control performance.

Original language	English
Title of host publication	Proceedings of the 33rd Chinese Control Conference, CCC 2014
Editors	Shengyuan Xu, Qianchuan Zhao
Publisher	IEEE Computer Society
Pages	7772-7777
Number of pages	6
ISBN (Electronic)	9789881563842
DOIs	https://doi.org/10.1109/ChiCC.2014.6896297
State	Published - 11 Sep 2014
Event	Proceedings of the 33rd Chinese Control Conference, CCC 2014 - Nanjing, China Duration: 28 Jul 2014 → 30 Jul 2014

Publication series

Name	Proceedings of the 33rd Chinese Control Conference, CCC 2014
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	Proceedings of the 33rd Chinese Control Conference, CCC 2014
Country/Territory	China
City	Nanjing
Period	28/07/14 → 30/07/14

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Disturbance observer
Input constraint
MPC
PMSM
Torque control

Access to Document

10.1109/ChiCC.2014.6896297

Cite this

Kim, S. K., Park, H. S., Han, J. H., & Lee, Y. I. (2014). Stabilizing model predictive control for torque control of permanent magnet synchronous motor. In S. Xu, & Q. Zhao (Eds.), Proceedings of the 33rd Chinese Control Conference, CCC 2014 (pp. 7772-7777). Article 6896297 (Proceedings of the 33rd Chinese Control Conference, CCC 2014). IEEE Computer Society. https://doi.org/10.1109/ChiCC.2014.6896297

@inproceedings{c0b31a70438043f4829c350036736b2b,

title = "Stabilizing model predictive control for torque control of permanent magnet synchronous motor",

abstract = "In this paper, we propose a simple model predictive controller (MPC) combined with a disturbance observer (DOB) for regulating the torque of a permanent magnet synchronous motor (PMSM) without steady state error. Specifically, a DOB is devised for estimating the unknown disturbance caused by a plant-model mismatch using a Luenberger observer. The proposed MPC minimizes a cost function at each time step in the receding horizon manner. It is possible to obtain the online optimal solutions without relying on a numeric algorithm using the specific property of the input matrix of PMSM. Thereafter, it is proven that the proposed MPC scheme ensures global asymptotic stability of the closed-loop system in the presence of input constraints and that the integrator in the DOB eliminates any offset error. Through the experiments, it is shown that the proposed MPC scheme provides satisfactory torque control performance.",

keywords = "Disturbance observer, Input constraint, MPC, PMSM, Torque control",

author = "Kim, \{Seok Kyoon\} and Park, \{Hyo Sung\} and Han, \{Jung Ho\} and Lee, \{Young Il\}",

note = "Publisher Copyright: {\textcopyright} 2014 TCCT, CAA.; Proceedings of the 33rd Chinese Control Conference, CCC 2014 ; Conference date: 28-07-2014 Through 30-07-2014",

year = "2014",

month = sep,

day = "11",

doi = "10.1109/ChiCC.2014.6896297",

language = "English",

series = "Proceedings of the 33rd Chinese Control Conference, CCC 2014",

publisher = "IEEE Computer Society",

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booktitle = "Proceedings of the 33rd Chinese Control Conference, CCC 2014",

}

Kim, SK, Park, HS, Han, JH & Lee, YI 2014, Stabilizing model predictive control for torque control of permanent magnet synchronous motor. in S Xu & Q Zhao (eds), Proceedings of the 33rd Chinese Control Conference, CCC 2014., 6896297, Proceedings of the 33rd Chinese Control Conference, CCC 2014, IEEE Computer Society, pp. 7772-7777, Proceedings of the 33rd Chinese Control Conference, CCC 2014, Nanjing, China, 28/07/14. https://doi.org/10.1109/ChiCC.2014.6896297

Stabilizing model predictive control for torque control of permanent magnet synchronous motor. / Kim, Seok Kyoon; Park, Hyo Sung; Han, Jung Ho et al.
Proceedings of the 33rd Chinese Control Conference, CCC 2014. ed. / Shengyuan Xu; Qianchuan Zhao. IEEE Computer Society, 2014. p. 7772-7777 6896297 (Proceedings of the 33rd Chinese Control Conference, CCC 2014).

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

TY - GEN

T1 - Stabilizing model predictive control for torque control of permanent magnet synchronous motor

AU - Kim, Seok Kyoon

AU - Park, Hyo Sung

AU - Han, Jung Ho

AU - Lee, Young Il

PY - 2014/9/11

Y1 - 2014/9/11

N2 - In this paper, we propose a simple model predictive controller (MPC) combined with a disturbance observer (DOB) for regulating the torque of a permanent magnet synchronous motor (PMSM) without steady state error. Specifically, a DOB is devised for estimating the unknown disturbance caused by a plant-model mismatch using a Luenberger observer. The proposed MPC minimizes a cost function at each time step in the receding horizon manner. It is possible to obtain the online optimal solutions without relying on a numeric algorithm using the specific property of the input matrix of PMSM. Thereafter, it is proven that the proposed MPC scheme ensures global asymptotic stability of the closed-loop system in the presence of input constraints and that the integrator in the DOB eliminates any offset error. Through the experiments, it is shown that the proposed MPC scheme provides satisfactory torque control performance.

AB - In this paper, we propose a simple model predictive controller (MPC) combined with a disturbance observer (DOB) for regulating the torque of a permanent magnet synchronous motor (PMSM) without steady state error. Specifically, a DOB is devised for estimating the unknown disturbance caused by a plant-model mismatch using a Luenberger observer. The proposed MPC minimizes a cost function at each time step in the receding horizon manner. It is possible to obtain the online optimal solutions without relying on a numeric algorithm using the specific property of the input matrix of PMSM. Thereafter, it is proven that the proposed MPC scheme ensures global asymptotic stability of the closed-loop system in the presence of input constraints and that the integrator in the DOB eliminates any offset error. Through the experiments, it is shown that the proposed MPC scheme provides satisfactory torque control performance.

KW - Disturbance observer

KW - Input constraint

KW - MPC

KW - PMSM

KW - Torque control

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DO - 10.1109/ChiCC.2014.6896297

M3 - Conference contribution

AN - SCOPUS:84907938599

T3 - Proceedings of the 33rd Chinese Control Conference, CCC 2014

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BT - Proceedings of the 33rd Chinese Control Conference, CCC 2014

A2 - Xu, Shengyuan

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PB - IEEE Computer Society

T2 - Proceedings of the 33rd Chinese Control Conference, CCC 2014

Y2 - 28 July 2014 through 30 July 2014

ER -

Stabilizing model predictive control for torque control of permanent magnet synchronous motor

Abstract

Publication series

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UN SDGs

Keywords

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