摘要
针对飞机总体优化设计中存在目标函数与变量之间没有显式关系式等问题,在建立包含推进、气动、性能及重量四个学科的飞机总体设计模型的基础上,采用遗传算法、模式搜索法和Powell法结合的多方法协作优化策略实现了飞机总体参数的优化;并对优化方案进行参数灵敏度分析,优化后飞机正常起飞总重较优化前降低11.6%,优化效果显著。分析结果表明了基于多方法协作优化算法的飞机总体优化设计的有效性。
As there is no apparent relation formula between the object functions and optimization variables of plane system design, a Multimethod Collaborative Optimization （MCO） algorithm combined with genetic algorithms, pattern search methods and Powell＇s methods is adopted while the model has been established which includes propulsion, aerodynamic, performance and weight subjects. And then the sensitivity of each variable based on the optimal scheme is analyzed. Compared with the initial scheme, the total weight reduces 11.6% after optimization. The results show that MCO is effective for plane system design.
出处
《航空计算技术》
2006年第6期1-4,共4页
Aeronautical Computing Technique
基金
国家自然科学基金资助项目(10302031)
国家863计划资助项目(2005AA721051)
关键词
飞机总体设计
多学科设计优化
多方法协作优化
plane system design
multidisciplinary design optimization
multimethod collaborative optimization
