论文部分内容阅读
快速交会远程导引段轨道机动过程中,交会时间受限、考虑测控约束的最小燃料消耗脉冲交会属于多变量优化问题,需要建立一种混合的优化算法对问题求解。建立了基于Lambert双脉冲的多脉冲快速变轨策略模型,给出一种三步串行的混合智能优化算法对模型进行求解。首先利用粒子群算法搜到全局最优解的近似解;然后以全局最优解的近似解作为二体模型的初解,用序列二次规划算法对全局最优解的近似解进行局部优化,所得解为精度较高的精确解;最后以二体模型下所得的解为初值,用最小二乘法解非线性摄动约束的快速交会问题。使用三步串行的混合优化算法对基于轨道要素的变轨策略进行仿真验证与分析。仿真结果表明,该算法能够规划出椭圆轨道到圆轨道共面、两椭圆轨道异面以及考虑测控约束情况下的快速交会轨道机动策略。
In the process of rapid rendezvous and long-range guided segment orbit maneuver, the rendezvous time is limited, and the minimum fuel consumption pulse rendezvous considering the constraints of control is a multivariate optimization problem. A hybrid optimization algorithm needs to be established to solve the problem. A multi-pulse rapid transit orbit strategy model based on Lambert dual-pulse is established. A three-step serial hybrid intelligent optimization algorithm is given to solve the model. Firstly, the particle swarm optimization algorithm is used to search the approximate solution of the global optimal solution. Secondly, the approximate solution of the global optimal solution is used as the initial solution of the two-body model. The sequence quadratic programming algorithm is used to optimize the approximate solution of the global optimal solution, The solution is the exact solution with high precision. Finally, the solution obtained by the two-body model is used as the initial value, and the least-squares method is used to solve the fast rendezvous problem with nonlinear perturbation constraints. A three-step serial hybrid optimization algorithm is used to simulate and analyze the orbital element-based orbit change strategy. Simulation results show that this algorithm can be used to plan the tactics of the rapid intersection orbit maneuver under elliptic orbit-circular orbit-coplanar and elliptic orbitals, and considering the constraints of measurement and control.