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基于知识工程的液压系统配置设计
引用本文:李泽蓉,曾富洪,周兰花.基于知识工程的液压系统配置设计[J].现代制造工程,2012(7):126-133.
作者姓名:李泽蓉  曾富洪  周兰花
作者单位:1. 攀枝花学院机电工程学院,攀枝花,617000
2. 攀枝花学院材料工程学院,攀枝花,617000
摘    要:为了提高液压系统的设计质量和效率,以知识工程理念为基础,提出了液压原型单元和液压配置单元的概念,给出了它们的知识表达,并建立了相应的IDEF1x信息模型;进而设计了液压系统两阶段配置求解算法:第一阶段根据设计要求和主要参数计算结果,为液压系统原理图中的每个液压原型单元选配出配置单元;第二阶段以价值系数、质量水平和可靠度为优化目标,建立基于遗传算法的液压系统配置求解体系并进行求解。该算法收敛性好,实用性强,能有效地解决液压系统配置组合爆炸问题。最后,以折弯机液压系统配置设计为实例,验证了所述方法的可行性和有效性。

关 键 词:知识工程  遗传算法  液压系统  液压原型单元  液压配置单元

Hydraulic system configuration design based on knowledge engineering
Li Zerong , Zeng Fuhong , Zhou Lanhua.Hydraulic system configuration design based on knowledge engineering[J].Modern Manufacturing Engineering,2012(7):126-133.
Authors:Li Zerong  Zeng Fuhong  Zhou Lanhua
Affiliation:1 Department of Mechanical and Electronic Engineering,Panzhihua University,Panzhihua 617000,Sichuan,China; 2 Department of Material Engineering,Panzhihua University,Panzhihua 617000,Sichuan,China)
Abstract:To improve the quality and efficiency of hydraulic system configuration design,the concepts for Hydraulic Prototype Unit(HPU) and Hydraulic Configuration Unit(HCU)were proposed,their knowledge expression were given,the IDEF1x information model for hydraulic system design was constructed based on Knowledge Engineering(KE).Then two-phase solving algorithm for hydraulic system configuration was designed,in the first phase,the HCUs which met the configuration requirement were selected for each HPU according to design demands and result of parameter calculation,in the second phase,the complete solution system for hydraulic system configuration was established based on Genetic Algorithm(GA)with value coefficient,quality level and reliability as three optimal objectives,which was used to solve optimization problem of hydraulic system configuration design.This new algorithm with good convergence and practicality could solve the combinatorial explosion problem of hydraulic system configuration.Finally,a configurable hydraulic system for press brake case was presented to verify the effectiveness and feasibility of the presented approach.
Keywords:Knowledge Engineering(KE)  Genetic Algorithm(GA)  hydraulic system  Hydraulic Prototype Unit(HPU)  Hydraulic Configuration Unit(HCU)
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