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Improved Time-Varying Controller Based on Parameter Optimization for Libration-Point Orbit Maintenance

机译：改进的基于参数优化的时变控制器用于动点轨道维护

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An improved time-varying optimal controller based on parameter optimization is proposed for the stabilization of spacecraft missions on nominal libration-point orbits of the Sun-Earth system. Because of the importance of the weighting matrices in the design of the time-varying controller, based on a genetic algorithm and the sequential quadratic programming method, two optimization models (for time-invariant and piecewise-constant weighting matrices) are used to determine the weighting matrices to improve the performance of the time-varying optimal controller. Practical missions are presented for a spacecraft moving steadily on a reference orbit. Numerical simulations of these missions demonstrate that the parameter-optimization methods provide a smaller overshoot and faster convergence time than when trial-and-error or Bryson's rule are used to select the weighting matrices. Piecewise-constant weighting matrices calculated for the time-varying controller using the parameter-optimization method provide better control performance than time-invariant weighting matrices. Additionally, for both optimization models, the genetic algorithm combined with sequential quadratic programming produces a shorter injection period and lower fuel consumption than the other optimization methods that are compared in this paper. (C) 2015 American Society of Civil Engineers.
机译：提出了一种基于参数优化的改进时变最优控制器，用于稳定航天飞机在太阳地球系统标称解放点轨道上的飞行任务。由于加权矩阵在时变控制器的设计中非常重要，因此基于遗传算法和顺序二次规划方法，使用两个优化模型（针对时间不变和分段常数加权矩阵）来确定时变控制器。对矩阵加权，以提高时变最优控制器的性能。提出了航天器在参考轨道上稳定移动的实际任务。这些任务的数值模拟表明，与使用试错法或布赖森法则选择加权矩阵时相比，参数优化方法可提供较小的过冲和更快的收敛时间。与使用时不变加权矩阵相比，使用参数优化方法为时变控制器计算的分段常数加权矩阵可提供更好的控制性能。此外，对于这两种优化模型，遗传算法与顺序二次规划相结合，与本文所比较的其他优化方法相比，可产生更短的喷射周期和更低的燃油消耗。 （C）2015年美国土木工程师学会。

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