Response Characteristics Analysis and Optimization Design of Load Sensing Variable Pump

Response Characteristics Analysis and Optimization Design of Load Sensing Variable Pump

This paper aimed to decrease damping coefficient and enhance dynamic performance of the load sensing variable pump. Firstly, the working mechanism of the pump was analyzed and the dynamic model was built; hence it was concluded that the method to improve the system performance is to increase corner...

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Main Authors: Hong-Xin Cui, Ke Feng, Huan-Liang Li, Jin-Hua Han
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2016/6379121
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spelling doaj-738ff2b00f484857bad0e06fa272b2122020-11-24T23:29:00ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472016-01-01201610.1155/2016/63791216379121Response Characteristics Analysis and Optimization Design of Load Sensing Variable PumpHong-Xin Cui0Ke Feng1Huan-Liang Li2Jin-Hua Han3College of Field Engineering, PLA University of Science and Technology, Nanjing 210007, ChinaCollege of Field Engineering, PLA University of Science and Technology, Nanjing 210007, ChinaCollege of Field Engineering, PLA University of Science and Technology, Nanjing 210007, ChinaCollege of Field Engineering, PLA University of Science and Technology, Nanjing 210007, ChinaThis paper aimed to decrease damping coefficient and enhance dynamic performance of the load sensing variable pump. Firstly, the working mechanism of the pump was analyzed and the dynamic model was built; hence it was concluded that the method to improve the system performance is to increase corner frequency of the first-order inertia elements. Then the simulation test rig of the load sensing variable pump was built with SimHydraulics software and was verified by simulation and experiments; the influence rules of main parameters on the system performance were studied by dynamic simulations. Finally, a structure optimization scheme was proposed; simulation results show that the response time of optimized system is 33.42% reduced and flow overshoot has fallen down from 8.9% to 1.6% compared with the original system.http://dx.doi.org/10.1155/2016/6379121
collection DOAJ
language English
format Article
sources DOAJ
author Hong-Xin Cui
Ke Feng
Huan-Liang Li
Jin-Hua Han
spellingShingle Hong-Xin Cui
Ke Feng
Huan-Liang Li
Jin-Hua Han
Response Characteristics Analysis and Optimization Design of Load Sensing Variable Pump
Mathematical Problems in Engineering
author_facet Hong-Xin Cui
Ke Feng
Huan-Liang Li
Jin-Hua Han
author_sort Hong-Xin Cui
title Response Characteristics Analysis and Optimization Design of Load Sensing Variable Pump
title_short Response Characteristics Analysis and Optimization Design of Load Sensing Variable Pump
title_full Response Characteristics Analysis and Optimization Design of Load Sensing Variable Pump
title_fullStr Response Characteristics Analysis and Optimization Design of Load Sensing Variable Pump
title_full_unstemmed Response Characteristics Analysis and Optimization Design of Load Sensing Variable Pump
title_sort response characteristics analysis and optimization design of load sensing variable pump
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2016-01-01
description This paper aimed to decrease damping coefficient and enhance dynamic performance of the load sensing variable pump. Firstly, the working mechanism of the pump was analyzed and the dynamic model was built; hence it was concluded that the method to improve the system performance is to increase corner frequency of the first-order inertia elements. Then the simulation test rig of the load sensing variable pump was built with SimHydraulics software and was verified by simulation and experiments; the influence rules of main parameters on the system performance were studied by dynamic simulations. Finally, a structure optimization scheme was proposed; simulation results show that the response time of optimized system is 33.42% reduced and flow overshoot has fallen down from 8.9% to 1.6% compared with the original system.
url http://dx.doi.org/10.1155/2016/6379121
work_keys_str_mv AT hongxincui responsecharacteristicsanalysisandoptimizationdesignofloadsensingvariablepump
AT kefeng responsecharacteristicsanalysisandoptimizationdesignofloadsensingvariablepump
AT huanliangli responsecharacteristicsanalysisandoptimizationdesignofloadsensingvariablepump
AT jinhuahan responsecharacteristicsanalysisandoptimizationdesignofloadsensingvariablepump
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