Explicit Model Predictive Control of Permanent Magnet Synchronous Motor with Kalman Filter

Mengle Wang; Jianyong Su; Ke Zhao

doi:10.1109/ICEMS.2019.8921968

Explicit Model Predictive Control of Permanent Magnet Synchronous Motor with Kalman Filter

Mengle Wang
, Jianyong Su
, Ke Zhao

School of Electrical Engineering and Automation

Harbin Institute of Technology

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

4 Scopus citations

Abstract

Model predictive control (MPC) is widely used in industrial control system because of its excellent performance, but due to the computational problem, MPC cannot be applied to fast systems including PMSM control system. The explicit model predictive control (EMPC) adopts the offline calculation method, which reduces the online calculation amount and provides a solution for the calculation amount problem. At the same time, in the actual permanent magnet synchronous motor control system, noise and load torque disturbances are inevitable. In order to improve the dynamic performance of the PMSM control system, this paper will show the combination of model predictive control and Kalman filter to obtain a model predictive control strategy against load disturbance.

Original language	English
Title of host publication	2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728133980
DOIs	https://doi.org/10.1109/ICEMS.2019.8921968
State	Published - Aug 2019
Event	22nd International Conference on Electrical Machines and Systems, ICEMS 2019 - Harbin, China Duration: 11 Aug 2019 → 14 Aug 2019

Publication series

Name	2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

Conference

Conference	22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Country/Territory	China
City	Harbin
Period	11/08/19 → 14/08/19

Keywords

EMPC
Kalman Filter
anti-load disturbance

Access to Document

10.1109/ICEMS.2019.8921968

Cite this

Wang, M., Su, J., & Zhao, K. (2019). Explicit Model Predictive Control of Permanent Magnet Synchronous Motor with Kalman Filter. In 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019 Article 8921968 (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEMS.2019.8921968

@inproceedings{2a27146103a440e7935b0f7f3634225a,

title = "Explicit Model Predictive Control of Permanent Magnet Synchronous Motor with Kalman Filter",

abstract = "Model predictive control (MPC) is widely used in industrial control system because of its excellent performance, but due to the computational problem, MPC cannot be applied to fast systems including PMSM control system. The explicit model predictive control (EMPC) adopts the offline calculation method, which reduces the online calculation amount and provides a solution for the calculation amount problem. At the same time, in the actual permanent magnet synchronous motor control system, noise and load torque disturbances are inevitable. In order to improve the dynamic performance of the PMSM control system, this paper will show the combination of model predictive control and Kalman filter to obtain a model predictive control strategy against load disturbance.",

keywords = "EMPC, Kalman Filter, anti-load disturbance",

author = "Mengle Wang and Jianyong Su and Ke Zhao",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 22nd International Conference on Electrical Machines and Systems, ICEMS 2019 ; Conference date: 11-08-2019 Through 14-08-2019",

year = "2019",

month = aug,

doi = "10.1109/ICEMS.2019.8921968",

language = "英语",

series = "2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019",

address = "美国",

}

Wang, M, Su, J & Zhao, K 2019, Explicit Model Predictive Control of Permanent Magnet Synchronous Motor with Kalman Filter. in 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019., 8921968, 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019, Institute of Electrical and Electronics Engineers Inc., 22nd International Conference on Electrical Machines and Systems, ICEMS 2019, Harbin, China, 11/08/19. https://doi.org/10.1109/ICEMS.2019.8921968

Explicit Model Predictive Control of Permanent Magnet Synchronous Motor with Kalman Filter. / Wang, Mengle; Su, Jianyong ; Zhao, Ke.
2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8921968 (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019).

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

TY - GEN

T1 - Explicit Model Predictive Control of Permanent Magnet Synchronous Motor with Kalman Filter

AU - Wang, Mengle

AU - Su, Jianyong

AU - Zhao, Ke

PY - 2019/8

Y1 - 2019/8

N2 - Model predictive control (MPC) is widely used in industrial control system because of its excellent performance, but due to the computational problem, MPC cannot be applied to fast systems including PMSM control system. The explicit model predictive control (EMPC) adopts the offline calculation method, which reduces the online calculation amount and provides a solution for the calculation amount problem. At the same time, in the actual permanent magnet synchronous motor control system, noise and load torque disturbances are inevitable. In order to improve the dynamic performance of the PMSM control system, this paper will show the combination of model predictive control and Kalman filter to obtain a model predictive control strategy against load disturbance.

AB - Model predictive control (MPC) is widely used in industrial control system because of its excellent performance, but due to the computational problem, MPC cannot be applied to fast systems including PMSM control system. The explicit model predictive control (EMPC) adopts the offline calculation method, which reduces the online calculation amount and provides a solution for the calculation amount problem. At the same time, in the actual permanent magnet synchronous motor control system, noise and load torque disturbances are inevitable. In order to improve the dynamic performance of the PMSM control system, this paper will show the combination of model predictive control and Kalman filter to obtain a model predictive control strategy against load disturbance.

KW - EMPC

KW - Kalman Filter

KW - anti-load disturbance

UR - https://www.scopus.com/pages/publications/85077113029

U2 - 10.1109/ICEMS.2019.8921968

DO - 10.1109/ICEMS.2019.8921968

M3 - 会议稿件

AN - SCOPUS:85077113029

T3 - 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

BT - 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

Y2 - 11 August 2019 through 14 August 2019

ER -

Wang M, Su J , Zhao K. Explicit Model Predictive Control of Permanent Magnet Synchronous Motor with Kalman Filter. In 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8921968. (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019). doi: 10.1109/ICEMS.2019.8921968

Explicit Model Predictive Control of Permanent Magnet Synchronous Motor with Kalman Filter

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this