摘要
对航天器姿态机动进行路径规划以规避姿态禁区,能有效保障航天器安全运行,提高在轨寿命。文章研究了多约束条件下的航天器姿态机动路径规划问题,将工程约束表达成明确的函数,提出了基于比例微分控制的编码方法,设计了一种以机动时间最短为目标的评价函数,将路径规划问题转换为最优化问题,采用粒子群优化算法进行最优解搜索,在可接受的代价范围内得到了满足约束的机动路径。仿真结果表明,该方法对于禁区规避问题是有效的。
The path planning for attitude slew of a spacecraft to make forbidden celestial avoidance could enhance the safety and increase the durability of an on-orbit spacecraft.The path planning for the attitude slew under a number of celestial and dynamic constraints is studied in this paper.Engineering constraints are described as simple functions.A way of encoding based on proportional-differential control is presented.An evaluationt function which aims at the shortest time for slew is designed.Therefore,the path planning is transformed into an optimization process.A feasible path can be found at an acceptable cost by using aparticle swarm optimization algorithm.The simulation result shows the validity of the method in the use of forbidden celestial avoidance.
出处
《航天器工程》
北大核心
2015年第4期33-37,共5页
Spacecraft Engineering
基金
国家重大航天工程
关键词
姿态机动
禁区规避
路径规划
编码
粒子群算法
attitude slew
forbidden celestial avoidance
path planning
encoding
particle swarm optimization algorithm
