Research on Variable Speed Variable Displacement Power Unit with High Efficiency and High Dynamic Optimized Matching

Mingkun Yang, Xianhang Liu, Guishan Yan (), Chao Ai and Cong Yu
Additional contact information
Mingkun Yang: School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China
Xianhang Liu: School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China
Guishan Yan: School of Intelligent Systems Engineering, Sun Yat-Sen University, Guangzhou 510275, China
Chao Ai: School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China
Cong Yu: School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China

Energies, 2024, vol. 17, issue 13, 1-22

Abstract: For the variable speed variable displacement power unit (VSVDPU), achieving power matching between the permanent magnet synchronous motor (PMSM) and the variable displacement plunger pump (VDPP) is the key to reducing system energy consumption. The control method of adjusting the speed of the PMSM and the displacement of the VDPP is the mainstay of current research and application of the VSVDPU. However, the dynamic properties of the PMSM and VDPP have not been balanced, which affects the control effect of the VSVDPU. This paper proposes a control method of variable speed and variable displacement with low energy consumption and high dynamics. The main idea is based on the efficiency model and dynamic response model of the PMSM and VDPP, and the factors that affect the efficiency and dynamic characteristics of the VSVDPU are analyzed. Guided by the multi-objective optimization algorithm, the optimal combination of speed and displacement under specific working conditions is derived. Simulation and experiment results show that the proposed control method is feasible to improve the efficiency and dynamic characteristics of the VSVDPU.

Keywords: variable speed variable displacement power unit (VSVDPU); permanent magnet synchronous motor (PMSM); variable displacement plunger pump (VDPP); high efficiency; high dynamic; multi-objective optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/13/3322/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/13/3322/ (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:jeners:v:17:y:2024:i:13:p:3322-:d:1430195

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

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