Optimal Design of High-Voltage Disconnecting Switch Drive System Based on ADAMS and Particle Swarm Optimization Algorithm

Benxue Liu, Peng Yuan, Mengjian Wang, Cheng Bi, Chong Liu and Xia Li
Additional contact information
Benxue Liu: School of mechanical and power engineering, Zhengzhou University, Zhengzhou 450001, China
Peng Yuan: School of mechanical and power engineering, Zhengzhou University, Zhengzhou 450001, China
Mengjian Wang: School of mechanical and power engineering, Zhengzhou University, Zhengzhou 450001, China
Cheng Bi: School of mechanical and power engineering, Zhengzhou University, Zhengzhou 450001, China
Chong Liu: School of mechanical and power engineering, Zhengzhou University, Zhengzhou 450001, China
Xia Li: School of mechanical and power engineering, Zhengzhou University, Zhengzhou 450001, China

Mathematics, 2021, vol. 9, issue 9, 1-20

Abstract: This paper focuses on the analysis of the stability of the GW17 high-voltage disconnecting switch drive system. Firstly, the optimization model of the disconnector is established, and the simulation analysis is carried out by ADAMS (Automatic Dynamic Analysis of Mechanical Systems) and the simulation results are verified by experiments. Afterwards, ADAMS optimization design and particle swarm optimization algorithm (PSO) are used to optimize the drive system of the disconnector, and the results are verified on the experimental platform. After optimization, the space rod is reduced by 15 mm, the minimum corner angle of the lower conductive rod is reduced by 71.0%, the minimum folding arm angle is reduced by 88.7% and the maximum force of the ball pair is reduced by 35.7%, which realizes the lightweight of the rod, reduces the wear of the ball pair, and improves the stability of the equipment operation.

Keywords: high-voltage disconnecting switch; drive system; ADAMS; PSO; optimal design (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/9/9/1049/pdf (application/pdf)
https://www.mdpi.com/2227-7390/9/9/1049/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:9:y:2021:i:9:p:1049-:d:549578

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().