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Electric sail displaced orbit control with solar wind uncertainties

机译:具有太阳风不确定性的电动风帆移位轨道控制

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摘要

The working principle of the Electric Solar Wind Sail, an innovative propellantless propulsion system proposed in 2004, is based on the electrostatic interaction between a spinning grid of tethers, kept at a high positive potential, and the incoming ions from the solar wind. Similar to the well-known solar sail concept, the E-sail could simplify the feasibility of advanced (deep space) missions which would otherwise require a significative amount of propellant, if enabled by conventional thrusters. However, the intrinsic variability of the solar wind properties makes accurate trajectory tracking a difficult task, since the perturbations of the solar wind dynamic pressure have the same order of magnitude as their mean value. To circumvent such a problem, in a recent study the plasma dynamic pressure was modelled as a random variable with a gamma probability density function and the sail grid voltage was suggested to be varied as a function of the instantaneous value of the solar wind properties. The aim of this paper is to improve those results, by discussing a more accurate statistical model of the solar wind dynamic pressure, which is used in the numerical simulations to estimate the actual impact of the solar wind uncertainties on the spacecraft heliocentric trajectory. In particular, the paper proposes a control law that is able to accurately track a nominal, non-Keplerian orbit.
机译:电动太阳风帆是2004年提出的一种创新的无推进剂推进系统,其工作原理是基于保持高正电势的系绳旋转网格与太阳风传入的离子之间的静电相互作用。与众所周知的太阳帆概念类似,电子风帆可以简化先进(深空)飞行任务的可行性,否则,如果使用常规推进器,则将需要大量推进剂。然而,由于太阳风动压的扰动与其平均值具有相同数量级,因此太阳风属性的固有变化使精确的轨迹跟踪成为一项艰巨的任务。为了解决这个问题,在最近的一项研究中,将等离子体动态压力建模为具有伽马概率密度函数的随机变量,并建议将帆栅电压随太阳风特性的瞬时值而变化。本文的目的是通过讨论太阳风动压的更准确的统计模型来改善这些结果,该模型将用于数值模拟中以估计太阳风不确定性对航天器日心线轨迹的实际影响。特别是,本文提出了一种控制定律,该定律能够准确跟踪名义上的非基普勒轨道。

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