Analysis of Dynamic Characteristics and Power Losses of High Speed on/off Valve with Pre-Existing Control Algorithm
Qi Zhong,
Xiele Wang,
Geng Xie,
Huayong Yang,
Cheng Yu,
Enguang Xu and
Yanbiao Li
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Qi Zhong: College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Xiele Wang: College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Geng Xie: College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Huayong Yang: The State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
Cheng Yu: College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Enguang Xu: College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Yanbiao Li: College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Energies, 2021, vol. 14, issue 16, 1-12
Abstract:
A high-speed on/off valve (HSV) is generally the core component of a digital hydraulic transmission system. Therefore, its dynamic characteristics often restrict the overall performance of the digital hydraulic system. Most of the current studies focus on the optimization on the dynamic characteristics or the energy characteristics, few studies have comprehensively considered the two characteristics of the valve together. In this paper, a pre-existing control algorithm (PECA) is proposed to improve the dynamic characteristics of the HSV, and simultaneously optimize the power losses of the HSV to improve its energy conversion efficiency. The results show that, compared with the traditional single-voltage driven strategy, the opening time of the PECA decreases by 29.4%, the closing time decreases by 59.6%, and the energy conversion rate increases by 7.9%.
Keywords: power loss; solenoid valve; dynamic response; temperature rising; multiphysics methodology (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: 2021
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