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Calculating Launch Vehicle Flight Performance Reserve

机译:计算运载火箭飞行性能储备

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This paper addresses different methods for determining the amount of extra propellant (flight performance reserve or FPR) that is necessary for a launch vehicle to reach orbit with a high probability of success. Vehicle and environmental uncertainty models are assumed to be available for a launch day goo go decision that in part evaluates whether sufficient propellant is available. One approach for determining FPR involves assuming that the various influential parameters are independent and that the result behaves as a Gaussian. Alternatively, high-fidelity closed-loop Monte Carlo simulation determines the amount of propellant used with each random combination of parameters that are still unknown at the time of launch. Using the results of the Monte Carlo simulation, several methods may be used to calculate the FPR. The final chosen solution involves determining distributions for the pertinent outputs and running a separate Monte Carlo simulation to obtain a best estimate of the required FPR. This result differs from the results obtained using the other methods sufficiently that the higher fidelity is warranted.
机译:本文讨论了用于确定运载火箭以高成功概率到达轨道所必需的额外推进剂(飞行性能储备或FPR)量的不同方法。假定车辆和环境不确定性模型可用于发射日通过/不通过决策,该决策部分评估是否有足够的推进剂。确定FPR的一种方法涉及假设各种有影响力的参数是独立的,并且结果表现为高斯型。可替代地,高保真闭环蒙特卡洛模拟确定发射时每种未知参数的随机组合使用的推进剂数量。使用蒙特卡洛模拟的结果,可以使用几种方法来计算FPR。最终选择的解决方案包括确定相关输出的分布,并运行单独的蒙特卡洛模拟以获得所需FPR的最佳估计。该结果与使用其他方法获得的结果有很大的不同,从而可以保证更高的保真度。

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