LAPSE:2023.33119
Published Article
LAPSE:2023.33119
Robust Predictive Power Control of N*3-Phase PMSM for Flywheel Energy Storage Systems Application
Wenjuan Zhang, Yu Li, Gongping Wu, Zhimeng Rao, Jian Gao, Derong Luo
April 20, 2023
In this study, a robust predictive power control (R-PPC) method for an N*3-phase permanent magnet synchronous motor (PMSM) is developed in the field of flywheel energy storage systems application, which can effectively improve robustness against inductance parameter mismatch and compensate for the one-beat delay. Firstly, the mathematical model of the N*3-phase PMSM is illustrated, and the topological structure of the N*3-phase PMSM is established. The R-PPC method of the N*3-phase PMSM is then proposed by using the d−q axis current robust predictive control theory. Robustness factors are adopted to modify the current response values in the proposed robust predictive power controller, which can obtain excellent current control performance under the inductance parameter mismatch. Moreover, the next current predicted value is used to replace the current sampled value in the proposed R-PPC method to eliminate the one-beat delay. Finally, comparative simulation and experimental results verify that the proposed R-PPC method can achieve excellent current track performance and smaller torque ripple under both the charge state and discharge state.
Keywords
inductance parameter mismatch, N*3-phase permanent magnet synchronous motor (PMSM), robust predictive power control
Subject
Suggested Citation
Zhang W, Li Y, Wu G, Rao Z, Gao J, Luo D. Robust Predictive Power Control of N*3-Phase PMSM for Flywheel Energy Storage Systems Application. (2023). LAPSE:2023.33119
Author Affiliations
Zhang W: College of Electrical and Information Engineering, Changsha University, Changsha 410082, China; College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Li Y: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Wu G: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Rao Z: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Gao J: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Luo D: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Journal Name
Energies
Volume
14
Issue
12
First Page
3684
Year
2021
Publication Date
2021-06-21
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14123684, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.33119
This Record
External Link

doi:10.3390/en14123684
Publisher Version
Download
Files
[Download 1v1.pdf] (6.6 MB)
Apr 20, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
62
Version History
[v1] (Original Submission)
Apr 20, 2023
 
Verified by curator on
Apr 20, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.33119
 
Original Submitter
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version