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Multi-Objective, Multidisciplinary Design Optimization of TSTO Space Planes with RBCC Engines

机译:多目标,多学科设计优化TSTO空间与RBCC发动机

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A fully-reusable two-stage-to-orbit (TSTO) launch vehicle with ethanol-fueled rocket-based combined cycle (RBCC) engines is a promising option for future space transportation that is currently studied in Japan. In this paper, a conceptual design study is conducted for such a vehicle using a multi-objective, multidisciplinary design optimization (MDO) technique. An MDO framework considering the coupling between vehicle geometry, propulsion system, aerodynamics, and flight trajectory is constructed, and they are optimized simultaneously with the aim of maximizing the payload mass, minimizing the gross mass of the combined vehicle (booster and orbiter), and minimizing the horizontal takeoff velocity. This multi-objective optimization enables a more comprehensive and exploratory design study compared with the gross-mass minimization problem subject to a predetermined mission plan and a fixed takeoff-velocity constraint. The optimization is executed via a novel algorithm, and a set of Pareto optimal solutions with a good spread is obtained. In addition to discussing some representative solutions, knowledge is extracted by applying sensitivity analysis to the solutions. The results provide some insight into the underlying features and trends of the design problem of TSTO space planes with RBCC engines.
机译:一种完全可重复使用的两级到轨道(TSTO)发射车辆,具有基于乙醇燃料的火箭的组合循环(RBCC)发动机是目前在日本研究的未来空间运输的有希望的选择。本文使用多目标,多学科设计优化(MDO)技术为这种车辆进行了概念设计研究。考虑到车辆几何,推进系统,空气动力学和飞行轨迹之间的耦合的MDO框架是构造的,并且它们同时优化,目的是最大化有效载荷质量,最大限度地减少组合车辆(增压器和轨道器)的总质量,以及最小化水平起飞速度。与预定的任务计划(固定的起飞速度约束)相比,这种多目标优化使得能够更全面和更普遍的设计研究。优化通过新颖算法执行,获得具有良好扩展的一组Pareto最佳解决方案。除了讨论一些代表性解决方案之外,通过对解决方案应用灵敏度分析来提取知识。结果对TSTO空间平面与RBCC发动机的设计问题的潜在特征和趋势提供了一些洞察力。

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