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首页> 外文期刊>Journal of Spacecraft and Rockets >Calculating Launch-Vehicle Flight Performance Reserve
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Calculating Launch-Vehicle Flight Performance Reserve

机译：计算发射飞行飞行性能储备

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摘要

This paper analyzes different methods for determining the amount of extra propellant (flight performance reserve) 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 flight performance reserve 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 flight performance reserve. The paper analyzes these different procedures and then develops in detail the final chosen solution. This method involves determining distributions for the pertinent outputs and running a separate Monte Carlo simulation to obtain a best estimate of the required flight performance reserve. This approach is significantly higher in fidelity than the other potential methods. Its result differs from the results obtained using the other methods sufficiently that the higher fidelity is warranted.
机译：本文分析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）量的不同方法。假设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。确定飞行性能储备的一种方法涉及假设各种影响参数是独立的，并且结果表现为高斯型。可替代地，高保真，闭环蒙特卡罗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飞行性能储备。本文分析了这些不同的过程，然后详细开发了最终选择的解决方案。该方法涉及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飞行性能储备的最佳估计。这种方法的保真度明显高于其他潜在方法。其结果与使用其他方法获得的结果有很大的不同，以确保更高的保真度。

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