LAPSE:2023.14939
Published Article
LAPSE:2023.14939
Target Force Curve Searching Method for Axial Electromagnetic Dynamic Balance of Scroll Compressor
Xiao Qu, Yantao Shi, Jiongjiong Cai
March 2, 2023
Abstract
In order to explore the axial electromagnetic dynamic balance force curve of a scroll compressor under the action of thermal energy, radial clearance, mechanism friction, and other factors in actual working conditions, an axial force exploration method that can automatically approach sections is proposed in this paper. Considering the dynamic response ability of the electromagnetic balance system, an automatic optimization algorithm of the partition number was proposed to find the optimal partition number in order to achieve the optimal tracking effect. An experimental platform was built to test the effect of the segmented tracking method on calibrating the deviation between the theoretical axial force curve and the real curve. The results show that the curve construction method proposed in this paper has convergence. This method can automatically and accurately construct the axial balance force curve required by the electromagnetic dynamic balance. Through the automatic optimization algorithm, the standard error (RMSE) between the target curve and the theoretical curve was reduced from 290 to 22.6, and the number of partitions with the lowest standard error was 20. The results provide a useful reference for the accurate, automatic, and efficient exploration of the actual axial sealing force of the scroll compressor.
Keywords
axial sealing of scroll compressor, curves of the axial force, electromagnetic drive technology, the automatic method of establishing the target force
Suggested Citation
Qu X, Shi Y, Cai J. Target Force Curve Searching Method for Axial Electromagnetic Dynamic Balance of Scroll Compressor. (2023). LAPSE:2023.14939
Author Affiliations
Qu X: School of Automation and Electrical Engineer, Zhejiang University of Science and Technology, Hangzhou 310023, China
Shi Y: School of Automation and Electrical Engineer, Zhejiang University of Science and Technology, Hangzhou 310023, China
Cai J: School of Automation and Electrical Engineer, Zhejiang University of Science and Technology, Hangzhou 310023, China
Journal Name
Energies
Volume
15
Issue
5
First Page
1693
Year
2022
Publication Date
2022-02-24
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15051693, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.14939
This Record
External Link

https://doi.org/10.3390/en15051693
Publisher Version
Download
Files
Mar 2, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
186
Version History
[v1] (Original Submission)
Mar 2, 2023
 
Verified by curator on
Mar 2, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.14939
 
Record Owner
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version
(0.66 seconds) 0.09 + 0.05 + 0.32 + 0.11 + 0 + 0.04 + 0.01 + 0 + 0.01 + 0.02 + 0 + 0