某型飞艇外形多目标优化设计及其决策  

Multi-Objective Optimization Design of Envelope Shape of a Certain Airship with Deviations Considered

作　　者：安伟刚[1] 李为吉[1] 王海峰[1] 

机构地区：[1]西北工业大学航空学院,陕西西安710072

出　　处：《西北工业大学学报》2007年第6期789-793,共5页Journal of Northwestern Polytechnical University

基　　金：国家自然科学基金(10377015)资助

摘　　要：飞艇的外形设计直接影响了飞艇的飞行性能、气动特性以及结构重量。文中以飞艇的阻力最小以及结构重量最轻作为优化目标,采用多目标粒子群优化算法对某型飞艇的外形进行了多目标优化设计。实际工程设计中,存在的诸多扰动因素会影响设计方案的性能。由于飞艇体积庞大且气囊为柔性材料,扰动因素对于飞艇的性能影响尤为明显。为此,文中提出了一种"基于信噪比的多目标决策方法"。该决策方法以信噪比为准则,不仅可以方便地对多个设计方案进行评价和排序,而且考虑到了工程实际中误差的客观存在,具有较大的工程应用价值。采用基于信噪比的多目标决策方法,从飞艇外形多目标优化的非劣解集中选择出最稳健的设计作为该型飞艇外形的最终设计方案。Aim. To be practical in engineering, we must eliminate certain Pareto-set （possible） optimization solutions for violating constraint conditions when unavoidable deviations are considered. In the envelope shape design, we propose a method, which is a multi-objective decision-making method based on the SN （signal noise） concept, that can eliminate the Pareto-set solutions that are not practical. In the full paper, we explain in some detail the decision-making method and how the deviations are considered~ in this abstract, we just add some pertinent remarks to listing the three topics of explanation. The first topic is. multi-objective optimization model of the envelope shape of a certain airship. In this topic, in order to minimize the drag and structural weight of the airship, we optimize the airship envelope shape using the multi-objective particle swarm algorithm. The second topic is： multi-objective optimization design. In this topic, we select the parameters of the particle swarm algorithm and present the optimization results of a certain airship as shown in Fig. 2 in the full paper. The third topic is ： the decision-making on selecting the best design. In this topic, we discuss the following three advantages of multi-objective decision-making method： （1） the decision-maker can easily decide preference information; （2） the method takes into consideration unavoidable deviations; （3） it is highly adaptable to any multi-objective decision-making problems. Also in this topic, we select the best design out of a large number of the Pareto-set （possible） solutions for airship envelope shape. From Fig. 4 in the full paper, we reach the conclusion that it is essential to adopt the multi-objective decision-making method to carry out multi-objective optimization of the envelope shape of a certain airship. We also find that, out of 38 Pareto-set solutions, 24 designs violate constraint conditions due to unavoidable deviations and if these 24 designs are not eliminated, they may lead to danger

关 键 词：飞艇 优化设计 多目标粒子群优化算法 信噪比 

分 类 号：V274[航空宇航科学与技术—飞行器设计]