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Algorithmic Approach for Algebraic Derivation of Time and Distance to Speed during Variable Acceleration

机译:变量加速期间的时间和速度的代数衍生算法方法

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The take-off of a departing aircraft is subjected to varying forces, the largest of which are function of the speed of the aircraft itself: the thrust of a jet engine, the aerodynamic drag of the airframe are essentially polynomial function of the airspeed. First principle field performance determination has relied for the last half century on stepwise integration, a brute force approach that requires properly tuned integration steps, which has the benefit of being fairly reliable but with relatively low computational efficiency. An alternate, mathematically more formal approach would be to algebraically integrate an accelerative function combining all the forces in presence. While comparatively complex, the derivation of the solution equations permits fast and accurate integration between boundary conditions, which could be orders of magnitude more efficient than stepwise integration, even with relatively high degree of polynomial force functions, while being essentially free of any round-off error which may accumulate at each step of a linearized stepwise integration as the result would instead be derived strictly from the value at the integration limits; the speed advantage remains for most practical models, up to a 6th degree acceleration to speed polynomial function. Moreover, the integrated equations could be used for several airspeed evaluations, leveraging the computational efficiency higher still.
机译:离开飞机的起飞遭受不同的力,其中最大的是飞机本身的速度:喷射发动机的推力,机身的空气动力学阻力基本上是空速的多项式函数。第一个原则场业绩确定在过去的半个世纪依靠逐步集成依赖,一种严格的力量方法,需要适当调整的集成步骤,这有利于相当可靠但具有相对较低的计算效率。替代,数学上更正式的方法是代数集成在存在中组合所有力的加速函数。而比较复杂,溶液方程的推导允许边界条件之间的快速和精确的整合,这可能是数量级比逐步融合更有效率,甚至具有相对高程度的多项式力功能,而基本上无任何舍入可能在线性化逐步集成的每个步骤中累积时出错,而是将严格地从集成限制的值严格导出;速度优势仍为大多数实用模型,直到速度多项式函数的6度加速度。此外,集成方程可用于若干空速评估,利用更高的计算效率。

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