论文部分内容阅读
对闭环控制条件下的自主交会多目标最优轨迹设计方法进行了研究.基于相对动力学方程,建立了以仅测角为测量参数的相对导航模型;根据线性协方差分析方法,对追踪器在仅测角条件下的相对导航及相对运动轨迹控制偏差进行了分析,并以此为基础,建立了评价自主交会轨迹鲁棒性的指标.采用NSGA-II多目标遗传算法,对考虑燃料消耗和轨迹鲁棒性的多目标最优自主交会轨迹设计问题进行了求解.最后,通过MonteCarlo打靶仿真验证了协方差分析结果的正确性,并对Pareto可行解集中的相对位置鲁棒性最优解进行了仿真验证.
The method of designing the optimal trajectory for autonomous rendezvous under closed-loop control is studied.Based on the relative dynamics equations, a relative navigation model with only measured angle as measurement parameter is established. According to the linear covariance analysis method, Only the relative navigation under the condition of angular measurement and the control deviation of the relative motion trajectory are analyzed, and based on which, the indexes to evaluate the robustness of the autonomous intersection trajectory are established.Using the NSGA-II multi-objective genetic algorithm, Trajectory robustness is solved by Monte Carlo simulation.Finally, Monte Carlo simulation is used to verify the correctness of the results of covariance analysis and the optimal solution of the relative position robustness of Pareto feasible solutions Simulation verification.