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Throttled explicit guidance for pinpoint landing under bounded thrust acceleration

机译:限定脉冲加速下的针点降落的节约明确指导

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Onboard computation of a fuel-optimal trajectory is an indispensable technology for future lunar and planetary missions with pinpoint landings. This paper proposes a throttled explicit guidance (TEG) scheme under bounded constant thrust acceleration. TEG is capable of achieving fuel-optimal large diversions with good accuracy and can find optimal solutions. Thus far, the TEG algorithm is unique as it offers an explicit and simultaneous search method for the fuel-optimal thrust direction and thrust magnitude switching in predictor-corrector iterations. Fast numerical search is realized with a straightforward computation of seven final states (position, velocity, and the Hamiltonian) from seven unknowns (six adjoint variables for position and velocity and one final time). In addition, global convergence capability is enhanced by implementing the damped Newton's method. A number of simulations of large diversions show the excellent convergence of the TEG algorithm within at most 15 iterations from a cold start. The experimental results of the runtime measurement of the TEG algorithm support its real-time feasibility on a flight processor. These features of the TEG are suitable for onboard guidance of pinpoint landings.
机译:燃料最佳轨迹的船上计算是一个不可或缺的工地,用于未来的月球和行星任务,有针脚着陆。本文提出了狭窄的恒定推力加速下的节流明确指导(TEG)方案。 TEG能够以良好的准确度实现燃料最佳的大型分流,可以找到最佳解决方案。到目前为止,TEG算法是唯一的,因为它提供了用于预测器校正器迭代中的燃料最佳推力方向和推力幅度切换的显式和同时搜索方法。快速数值搜索是从七个未知的七个最终状态(位置,速度,汉密尔顿人)的直接计算(六个伴随的位置和速度和最后一次)的最终状态(位置,速度和Hamiltonian)。此外,通过实施阻尼牛顿的方法,增强了全局收敛能力。大型流动的许多模拟显示了在冷启动中最多15个迭代内的TEG算法的优异收敛性。 TEG算法运行时测量的实验结果支持其在飞行处理器上的实时可行性。 TEG的这些特征适用于固定落地的板载指导。

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