MULTI-OBJECTIVE HYBRID OPTIMAL CONTROL FOR MULTIPLE-FLYBY INTERPLANETARY MISSION DESIGN USING CHEMICAL PROPULSION

被引:0
作者
Englander, Jacob A. [1 ]
Vavrina, Matthew A. [2 ]
Hinckley, David, Jr. [3 ]
机构
[1] NASA, Goddard Space Flight Ctr, Nav & Mission Design Branch, Greenbelt, MD 20771 USA
[2] Ai Solut Inc, 10001 Derekwood Lane,Suite 215, Lanham, MD 20706 USA
[3] Univ Vermont, Dept Mech Engn, Burlington, VT 05405 USA
来源
ASTRODYNAMICS 2015 | 2016年 / 156卷
关键词
GRAVITY-ASSIST TRAJECTORIES; GENETIC ALGORITHM; GLOBAL OPTIMIZATION;
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Preliminary design of high-thrust interplanetary missions is a highly complex process. The mission designer must choose discrete parameters such as the number of flybys and the bodies at which those flybys are performed. For some missions, such as surveys of small bodies, the mission designer also contributes to target selection. In addition, real-valued decision variables, such as launch epoch, flight times, maneuver and flyby epochs, and flyby altitudes must be chosen. There are often many thousands of possible trajectories to be evaluated. The customer who commissions a trajectory design is not usually interested in a point solution, but rather the exploration of the trade space of trajectories between several different objective functions. This can be a very expensive process in terms of the number of human analyst hours required. An automated approach is therefore very desirable. This work presents such an approach by posing the impulsive mission design problem as a multi-objective hybrid optimal control problem. The method is demonstrated on several real-world problems.
引用
收藏
页码:2333 / 2352
页数:20
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