基于行为的太阳帆群编队方法

文章提出了一种基于行为的太阳帆群编队路径规划方法。通过行为控制技术,在有限的感知信息条件下,便可获得自动的分布式控制律,将同质的各太阳帆导引至目标构型。导引过程中,各帆期望速度均为所设置三个行为速度(聚集、排斥、驻留)的矢量和,而各行为参数则利用目标构型的对称性进行设置。特别地,为了降低控制成本,聚集行为在仿真中利用了太阳引力、光压实际环境下形成的太阳帆轨道性质进行改造。通过日心悬浮轨道上的太阳帆群编队数值仿真,验证了文中方法的有效性和优越性。仿真结果表明,仅通过设置三个简单的行为,便可在日心悬浮轨道上得到许多有价值的太阳帆群构型。此外,通过修改其中的聚集行为,该方法可以很容易地移植到太阳帆行星悬浮轨道以及椭圆型三体问题中的太阳帆轨道编队应用上来。

A Better Formation Planning Algorithm of Solar Sail Swarm Based on Behavior

Aim.The introduction of the full paper discusses relevant matters and then proposes the formation planning algorithm mentioned in the title,which we believe is better than previous ones and which is explained in section 1.Its core consists of:"We present a solar sail formation planning technique able to make a set of identical sails acquire a given configuration.The technique exploits a behavior-based approach to achieve an autonomous and distributed control over the relative geometry,making use of limited sensorial information.A desired velocity is defined for each sail respectively as a sum of different contributions coming from three high-level behaviors,and parameters of behaviors are set based on the symmetry of target configuration.In particular,the’gathered’ behavior is reconstructed by using the nature of the solar sail orbit formed in the actual environment in order to reduce control costs." The simulation results,presented in Figs.2 through 5,and their analysis show preliminarily that:(1) considering only three different kinds of behavior it is possible to acquire a number of interesting formations;(2) by changing the setting of attractive behavior this technique can be easily used for formation flying around planetary displaced orbits and orbits in the elliptic three-body problem etc.