In order to improve the efficiency and viability of micro⁃satellite,especially the low observability of the micro⁃satellite,a dynamic⁃environment attitude planning algorithm based on the PSO algorithm and chaos algorithm was designed. The RCS value of the radar which threaten the micro⁃satellite can be reduced,and the low observability of the micro⁃satellite can be im⁃proved by real⁃time adjustment of the pitching angle and the azimuth angle of micro⁃satellite. The PSO algorithm can reduce the cal⁃culation complexity and improve the efficiency of real⁃time planning,and when the chaos movement is added into it,the accuracy of the algorithm can be improved. The simulation result of work frequency threatened in VHF wave band from radars shows that the low observability of the micro⁃satellite is obviously improved and the algorithm can meet the demands of flying attitude planning.%为了提高微小卫星的使用效率和生存能力，关键是提高微小卫星的低可观测特性，设计了一种以混沌算法和粒子群算法为基础的微小卫星低可观测飞行姿态动环境规划算法。通过对微小卫星飞行中的俯仰角和方位角等姿态角进行实时调整，可以有效降低微小卫星在威胁雷达方向上的RCS值，提高微小卫星的低可观测特性。粒子群优化（PSO）算法可以降低计算复杂度以提高规划的实时特性，加入混沌（chaos）运动可以提高算法的精确程度。通过对工作频率在VHF 波段的威胁雷达对微小卫星的威胁性进行仿真，结果显示规划后微小卫星的低可观测性能明显改善，满足飞行姿态规划的需求。
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