基于多目标振动遗传算法的混合火箭发动机设计

Mehmet Burak Ozbilgin, H. Telli, O. Ozkan
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引用次数: 0

摘要

本文采用多目标振动遗传算法(MOVGA)对低空探测火箭单级混合火箭发动机进行了概念设计。设计了一种单圆口等截面燃料颗粒掺加氧化剂的混合火箭发动机。混合火箭发动机以端羟基聚丁二烯(HTPB)为燃料,氧为氧化剂。这可能是第一个将MOVGA用于混合火箭发动机设计问题的研究。振动遗传算法作为一种综合突变技术用于混合动力火箭发动机设计问题中,提供了种群的多样性,以便快速探索和找到全局最优解。对于高效混合动力火箭,设计问题是在发动机尺寸(长径比)约束下,以最小的总质量获得最大的飞行高度。该算法对混合动力火箭发动机进行优化设计,包括推力、尺寸和飞行高度的计算。在合理的CPU时间内,利用MOVGA算法完成了可制造和可测试的混合动力火箭发动机的机械设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid rocket engine design with multi-objective vibrational genetic algorithm
In this study, the conceptual design of a single-stage hybrid rocket engine of a low-altitude sounding rocket is developed using the Multi-Objective Vibrational Genetic Algorithm (MOVGA). A hybrid rocket engine design having single circular port fuel grain with constant cross-section doped with oxidizer is done. Hybrid rocket engine is fueled by Hydroxyl-Terminated Polybutadiene (HTPB) with oxygen as the oxidizer. This is probably the first study in which the MOVGA is used for a hybrid rocket engine design problem. Vibrational genetic algorithm used in the hybrid rocket engine design problem as a comprehensive mutation technique provides diversity in the population in order to explore and find the global optimum quickly. For a high efficient hybrid rocket, the design problem is formulated as maximization of the flight altitude with minimum total mass with engine size (length to diameter ratio) constraint. The algorithm estimates the optimum hybrid rocket engine design including thrust, sizing and flight altitude calculations. Consequently, a mechanical design of a manufacturable and testable hybrid rocket engine is accomplished by means of the MOVGA in reasonable CPU times.
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