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基于性能可靠性约束的智能液压泵节能优化
引用本文:黄伯超,王少萍,孟奕璇,石健.基于性能可靠性约束的智能液压泵节能优化[J].北京航空航天大学学报,2013,39(4):559-563.
作者姓名:黄伯超  王少萍  孟奕璇  石健
作者单位:北京航空航天大学自动化科学与电气工程学院,北京,100191;北京航空航天大学自动化科学与电气工程学院,北京,100191;北京航空航天大学自动化科学与电气工程学院,北京,100191;北京航空航天大学自动化科学与电气工程学院,北京,100191
基金项目:国家自然科学基金资助项目(51175014);教育部外专局111计划资助项目
摘    要:考虑飞机飞行剖面的多变性,针对智能液压泵变压力变流量的特点,提出一种多模性能可靠性分析方法.推导2类工作模式的传递函数模型,分析智能泵性能的主要影响因素,基于累积损伤理论构建多阶段任务可靠性模型.以系统工作效率为目标函数,性能可靠性指标为约束条件,对智能泵作优化设计.最后用优化所得参数求系统在各阶段的性能可靠度,并与机载液压系统常用的恒压泵作节能对比.结果表明:提出的基于节能的智能泵性能可靠性分析方法符合系统实际工况要求,相比传统恒压泵系统,智能泵系统的平均效率可提高15.8%.

关 键 词:变压力  性能可靠性  多阶段任务系统  节能
收稿时间:2012-05-04

Energy-saving optimization for intelligent pumps based on performance reliability restriction
Huang Bochao Wang Shaoping Meng Yixuan Shi Jian.Energy-saving optimization for intelligent pumps based on performance reliability restriction[J].Journal of Beijing University of Aeronautics and Astronautics,2013,39(4):559-563.
Authors:Huang Bochao Wang Shaoping Meng Yixuan Shi Jian
Institution:School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
Abstract:Considering the variable flight profile of aircrafts and variable pressure variable displacement characteristics of intelligent pumps, a method for multiple model performance reliability analysis was developed. The transfer function models of two types operating modes were derived, the primary influencing factors were analyzed, and the phased mission reliability models were built based on the cumulative damage theory. A parameters optimization process was applied to the design of intelligent pumps, using the operating efficiency model as objective function and performance reliability index as constraint. The performance reliability of the individual operating phases was obtained for the optimized pumps, and its operating efficiency was compared with that of the constant pressure pumps, which are widely equipped in aircraft hydraulic systems. The results demonstrate that the method described tallies with the actual system operating conditions, and the high energy-saving performance of the intelligent pumps is considerable for its 15.8% more rising of average efficiency in contrast with the traditional constant pressure pumps.
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