设计指标最优分配的协同方法  

A New Method for Collaborative Allocation of Design Requirement Optimum Allocation

作　　者：张科施[1] 李为吉[1] 魏宏艳[1] 

机构地区：[1]西北工业大学航空学院,西安710072

出　　处：《机械科学与技术》2006年第7期797-801,共5页Mechanical Science and Technology for Aerospace Engineering

基　　金：国家自然科学基金项目(10377015)资助

摘　　要：设计指标最优分配是飞机顶层设计中的一个关键问题。本文借鉴协同优化思想,发展了一种新的设计指标最优分配方法———协同分配法(collaborative allocation),用于处理飞机顶层设计中的大规模设计指标最优分配问题。给出了协同分配法的分配思想并建立了该方法的数学模型。用一个可靠度指标最优分配算例说明了协同分配法的数学模型建立及求解过程,初步验证了该方法对设计指标最优分配的有效性。Optimum allocation of design requirements （reliability, weight, cost, etc. ） has been and is a key problem in aircraft conceptual design. A good allocation of design requirements can shorten design cycle, improve performance and reduce cost. In this paper, a new method of collaborative allocation （CA） was proposed to solve large-scale optimum allocation and mathematical model were established. According problems in aircraft conceptual design. Its principle to allocation relationship, an initial optimum allocation problem is partitioned into one main optimization problem and several sub-optimization problems. A group of design requirements of subsystems is provided by the main system separately, and the subsystems execute their own optimizations or further provide detailed design requirements to bottom components of aircrafts, such as spares, ribs and skins, etc. The subsystems minimize the discrepancy among their own local variables, computed state variablcs and thc main system target. The main optimization is pefformed to reallocate design requirements for improving system performance and progress toward compatibility among sub-systems. A reliability optimum allocation instance was used to describe the mathematical model and solutions of CA and to preliminarily validate its correctness and effectiveness. It is concluded that CA is a relatively general flame for optimum allocation ; it is easily extended to resolve various types of optimum allocation problems.

关 键 词：飞机顶层设计 设计指标最优分配 协同分配法 可靠度 

分 类 号：V22[航空宇航科学与技术—飞行器设计]