A survey of numerical algorithms for trajectory optimization of flight vehicles

作者：Huang GuoQiang^*; Lu YuPing; Nan Ying

来源：Science in China - Series E: Technological Sciences , 2012, 55(9): 2538-2560.

DOI：10.1007/s11431-012-4946-y

• computational flight dynamics
• flight trajectory optimization
• numerical algorithms
• survey
• global optimization

As one of the important components of computational flight mechanics and control, numerical algorithms of trajectory optimization for flight vehicles are currently studied by many researchers in aerospace engineering to completely solve these difficult problems, but few papers on the survey of this research field have been published recently. Based on the investigation of more than one hundred literatures, considering the application perspectives of computational flight mechanics and recent developments of trajectory optimization, the numerical algorithms of trajectory optimizations for aerospace vehicles are summarized and systematically analyzed. This paper summarized the basic principle, characteristics and application for all kinds of current trajectory optimization algorithms; and introduced some new methods and theories appearing in recent years. Finally, collaborative trajectory optimization for many flight vehicles, and hypersonic vehicle trajectory optimization were mainly reviewed in this paper. In the conclusion of this paper, the future research properties are presented regarding to numerical algorithms of trajectory optimization and control for flight vehicles as follows: collaboration and antagonization for many flight vehicles and multiple targets, global, real-time online, high accuracy of 7-D trajectory, considering all kinds of unknown random disturbances in trajectory optimization, and so on.

• 出版日期2012-9
• 单位南京航空航天大学