为控制在太空中自由浮动的航天器 ,通过建立多个小推进器作用下自由浮动球体的运动模型 ,使用遗传算法(GA)控制球体运动过程中姿态和路径 ,为实际的航天器控制提供了一种新的控制方式。根据多个小推进器不同分布所产生的作用 ,在不同的运动阶段使用 GA搜寻最好的推进器组合方式以便得到最优的路径和位置控制。将控制目标作为GA的适应函数 ,使用 GA控制器得到的推进器组合方式移动球体到达目标的位置和状态。与传统的航天器所采用最优控制方法相比 ,这种实现方式简单 ,不需要复杂的算法分析 ,却能够得到更有效的控制结果 In order to control the free-floating spacecraft in space, the motion model of the free-floating sphere under the action of a plurality of small propellers is established. The genetic algorithm (GA) is used to control the attitude and the path during the movement of the sphere. This provides the actual spacecraft control A new way of control. According to the effect of different distribution of multiple small thrusters, GA uses GA to search the best combination of thrusters in different stages of motion in order to obtain optimal path and position control. Use the control target as the GA’s adaptation function and use the thruster combination obtained by the GA controller to move the sphere to the target’s position and state. Compared with the optimal control method adopted by the traditional spacecraft, this method is simple and does not require complex algorithm analysis, but can achieve more effective control results