基于APSO的微纳卫星编队轨迹规划方法

APSO-based Trajectory Planning Method for Micro-nano Satellite Formation

针对微纳卫星编队在指定时间内由初始构型到指定构型的路径规划问题,提出了一种基于自适应惯性权重粒子群优化(adaptive-inertial-weightedparticleswarmoptimization,APSO)算法的轨迹规划方法。首先,通过Radau伪谱法将轨迹规划的连续最优控制问题离散化为参数优化的非线性规划(nonlinear programming, NLP)问题;其次,采用APSO算法对NLP问题求解,避免了复杂梯度求解困难的问题,同时降低了计算量;最后,通过仿真实验表明,所提方法可在更短时间内求得满足约束条件的最优轨迹,以完成在线轨迹规划任务。

To deal with the path planning problem of micro nano satellite formation from initial configuration to specified configuration in a specified time,a trajectory planning method based on adaptive inertial weighted particle swarm optimization(APSO)is proposed.Firstly,the continuous optimal trajectory planning problem is transformed into the NLP problem of parameter optimization by using Radau pseudospectral method.Secondly,the APSO algorithm is used to solve the NLP problem,the gradient solution is avoided and the cost of computation is reduced.Finally,the simulation indicates that this method can get the optimal trajectory,which takes less time and meets the needs of online trajectory planning.