Extended State Observer-Based Robust Model Predictive Velocity Control for Permanent Magnet Synchronous Motor
This article proposes an extended state observer based robust model predictive velocity control to decrease system prediction error under parameter uncertainties for permanent magnet synchronous motor (PMSM). We develop a new PMSM model that consists of velocity and acceleration to lump the system i...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10943138/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850211507302825984 |
|---|---|
| author | Eunji Lee Yonghao Gui Sesun You Jun Moon Wonhee Kim |
| author_facet | Eunji Lee Yonghao Gui Sesun You Jun Moon Wonhee Kim |
| author_sort | Eunji Lee |
| collection | DOAJ |
| description | This article proposes an extended state observer based robust model predictive velocity control to decrease system prediction error under parameter uncertainties for permanent magnet synchronous motor (PMSM). We develop a new PMSM model that consists of velocity and acceleration to lump the system information and an external disturbance into a disturbance. The extended state observer (ESO) is designed to estimate the velocity, acceleration, and disturbance. By estimating the state variables and disturbance using the ESO, the model predictive control (MPC) finds the optimal control input by predicting future system behavior. Additionally, the direct current controller is designed so that the direct current converges to zero. Because the proposed method is not designed based on the cascade structure from the viewpoint of velocity control, the optimization control for the velocity and currents can be defined. Thus, the proposed method is robust against external disturbances and parameter uncertainties owing to feedback linearization, state feedback, and ESO-based MPC using the acceleration PMSM model. The proposed control algorithm was experimentally verified and it showed improved velocity tracking performance compared with ESO-based MPC using the conventional PMSM model. |
| format | Article |
| id | doaj-art-1f263a21e9604a4694e579c3ff391603 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-1f263a21e9604a4694e579c3ff3916032025-08-20T02:09:32ZengIEEEIEEE Access2169-35362025-01-0113606026061210.1109/ACCESS.2025.355524510943138Extended State Observer-Based Robust Model Predictive Velocity Control for Permanent Magnet Synchronous MotorEunji Lee0https://orcid.org/0009-0007-9120-9422Yonghao Gui1https://orcid.org/0000-0002-5043-5534Sesun You2https://orcid.org/0000-0002-5446-9555Jun Moon3https://orcid.org/0000-0002-8877-9519Wonhee Kim4https://orcid.org/0000-0001-9893-6381Department of Energy Systems Engineering, Chung-Ang University, Seoul, South KoreaElectrification and Energy Infrastructures Division, Oak Ridge National Laboratory, Knoxville, TN, USADepartment of Electrical Engineering, Keimyung University, Daegu, South KoreaDepartment of Electrical Engineering, Hanyang University, Seoul, South KoreaSchool of Energy Systems Engineering, Chung-Ang University, Seoul, South KoreaThis article proposes an extended state observer based robust model predictive velocity control to decrease system prediction error under parameter uncertainties for permanent magnet synchronous motor (PMSM). We develop a new PMSM model that consists of velocity and acceleration to lump the system information and an external disturbance into a disturbance. The extended state observer (ESO) is designed to estimate the velocity, acceleration, and disturbance. By estimating the state variables and disturbance using the ESO, the model predictive control (MPC) finds the optimal control input by predicting future system behavior. Additionally, the direct current controller is designed so that the direct current converges to zero. Because the proposed method is not designed based on the cascade structure from the viewpoint of velocity control, the optimization control for the velocity and currents can be defined. Thus, the proposed method is robust against external disturbances and parameter uncertainties owing to feedback linearization, state feedback, and ESO-based MPC using the acceleration PMSM model. The proposed control algorithm was experimentally verified and it showed improved velocity tracking performance compared with ESO-based MPC using the conventional PMSM model.https://ieeexplore.ieee.org/document/10943138/Model predictive controlextended state observerfeedback linearizationpermanent magnet synchronous motorvelocity tracking |
| spellingShingle | Eunji Lee Yonghao Gui Sesun You Jun Moon Wonhee Kim Extended State Observer-Based Robust Model Predictive Velocity Control for Permanent Magnet Synchronous Motor IEEE Access Model predictive control extended state observer feedback linearization permanent magnet synchronous motor velocity tracking |
| title | Extended State Observer-Based Robust Model Predictive Velocity Control for Permanent Magnet Synchronous Motor |
| title_full | Extended State Observer-Based Robust Model Predictive Velocity Control for Permanent Magnet Synchronous Motor |
| title_fullStr | Extended State Observer-Based Robust Model Predictive Velocity Control for Permanent Magnet Synchronous Motor |
| title_full_unstemmed | Extended State Observer-Based Robust Model Predictive Velocity Control for Permanent Magnet Synchronous Motor |
| title_short | Extended State Observer-Based Robust Model Predictive Velocity Control for Permanent Magnet Synchronous Motor |
| title_sort | extended state observer based robust model predictive velocity control for permanent magnet synchronous motor |
| topic | Model predictive control extended state observer feedback linearization permanent magnet synchronous motor velocity tracking |
| url | https://ieeexplore.ieee.org/document/10943138/ |
| work_keys_str_mv | AT eunjilee extendedstateobserverbasedrobustmodelpredictivevelocitycontrolforpermanentmagnetsynchronousmotor AT yonghaogui extendedstateobserverbasedrobustmodelpredictivevelocitycontrolforpermanentmagnetsynchronousmotor AT sesunyou extendedstateobserverbasedrobustmodelpredictivevelocitycontrolforpermanentmagnetsynchronousmotor AT junmoon extendedstateobserverbasedrobustmodelpredictivevelocitycontrolforpermanentmagnetsynchronousmotor AT wonheekim extendedstateobserverbasedrobustmodelpredictivevelocitycontrolforpermanentmagnetsynchronousmotor |