A New Maneuvering and Evading Strategy for Space Vehicle
Aiming at the collision rendezvous scene between the space vehicle and the potentially threatening object,a maneuvering and evading strategy of the space vehicle is proposed,which is based on genetic algo-rithm optimization and BP neural network prediction.By presenting the difference against the traditional maneuver strategy in the last phase of collision rendezvous,the evading strategy is selected after the warning and detection by the proposed strategy algorithm that expands the scope of time and space and takes the po-sition and speed at both sides as input parameters,the time,direction and duration of maneuver as output parameters,miss distance and fuel consumption as performance indexes.The numerical simulation shows that the proposed strategy effectively reduces fuel consumption,increases miss distance and improving the possibility of successful evading,which is compared with the instantaneous maneuver strategy and provides a new idea of safety protection technology for space vehicle under security threat.
Space vehicleCollision rendezvousManeuvering and evadingGenetic algorithmNeural network
NETL
NSTL
万方数据
