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首页> 外文期刊>International journal of aerospace engineering >Multidisciplinary Design Optimization and Analysis of Hydrazine Monopropellant Propulsion System
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Multidisciplinary Design Optimization and Analysis of Hydrazine Monopropellant Propulsion System

机译:肼单推进剂推进系统的多学科设计优化与分析

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摘要

Monopropellant propulsion systems are widely used especially for low cost attitude control or orbit correction (orbit maintenance). To optimize the total propulsion system, subsystems should be optimized. Chemical decomposition, aerothermodynamics, and structure disciplines demand different optimum condition such as tank pressure, catalyst bed length and diameter, catalyst bed pressure, and nozzle geometry. Subsystem conflicts can be solved by multidisciplinary design optimization (MDO) technique with simultaneous optimization of all subsystems with respect to any criteria and limitations. In this paper, monopropellant propulsion system design algorithm is presented and the results of the proposed algorithm are validated. Then, multidisciplinary design optimization of hydrazine propulsion system is proposed. The goal of optimization can be selected as minimizing the total mass (including propellant), minimizing the propellant mass (maximizing the Isp), or minimizing the dry mass. Minimum total mass, minimum propellant mass, and minimum dry mass are derived using MDO technique. It is shown that minimum total mass, minimum dry mass, and minimum propellant mass take place in different conditions. The optimum parameters include bedloading, inlet pressure, mass flow, nozzle geometry, catalyst bed length and diameter, propellant tank mass, specific impulse (Isp), and feeding mass which are derived using genetic algorithm (GA).
机译:单推进剂推进系统被广泛使用,尤其是用于低成本姿态控制或轨道校正(轨道维护)。为了优化整个推进系统,应该优化子系统。化学分解,空气热力学和结构学科要求不同的最佳条件,例如罐压力,催化剂床长和直径,催化剂床压力和喷嘴几何形状。子系统冲突可以通过多学科设计优化(MDO)技术解决,同时针对任何标准和限制对所有子系统进行同步优化。提出了单推进系统的设计算法,并验证了该算法的结果。然后,提出了肼推进系统的多学科设计优化。可以选择最优化的目标,例如使总质量(包括推进剂)最小化,使推进剂质量最小化(使Isp最大化)或使干燥质量最小化。使用MDO技术得出最小总质量,最小推进剂质量和最小干质量。结果表明,最小总质量,最小干质量和最小推进剂质量在不同条件下发生。最佳参数包括床载量,入口压力,质量流量,喷嘴几何形状,催化剂床层长度和直径,推进剂罐质量,比冲量(Isp)和进料质量,这是使用遗传算法(GA)得出的。

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