Military UAV Family Configuration Decision Based on Combining Expert System with Low Fidelity MDO

摘要：

Considering the share components induce the penalty of performance in aircraft family design, this paper studies the aircraft family configuration decision by expert system and MDO. As the design analysis of aircraft family is very complex, expert system bases on modified multidimensional game theory, which more refines the components decompose and increases the mission dimension. In order to achieving simultaneous design of each aircraft in family to reduce the compute cost, a low fidelity Collaborative Optimization (CO) is applied. Lastly, military UAV family is analyzed to validate above method. The mission requirements include mainly high altitude reconnaissance, middle altitude reconnaissance, short range attack and long distance attack. The performances (such as takeoff weight) comparison has be shown in analysis result According to the result, the aircraft costs could be reduced under restricted performance penalty through certain common components analysis.

关键词： military aircraft family decision-making game theory collaborative optimizations expert system common components

作者: Peng Runyan Wang Heping Lin Yu Shan Ning

作者单位: School of Aeronautics.Northwestern Polytechnical University, Xian 710072, China Engineering College of CAPF, Xian 710086, China

会议类型: 国际会议

会议名称: 2010 Asia-Pacific International Symposium on Aerospace Technology(2010 亚太航空航天技术研讨会 APISAT 2010)

会议地点: 西安

会议语种:英文

页码: 66-69

在线出版日期: 2010-09-01（万方平台首次上网日期，不代表论文的发表时间）