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| RBCC-RKT两级入轨飞行器飞行轨迹优化方法 | |
| 引用本文： | 阮建刚,何国强,吕翔. RBCC-RKT两级入轨飞行器飞行轨迹优化方法[J]. 航空学报, 2014, 35(5): 1284-1291. DOI: 10.7527/S1000-6893.2013.0389 |
| 作者姓名： | 阮建刚 何国强 吕翔 |
| 作者单位： | 西北工业大学 燃烧、流动和热结构国家级重点实验室, 陕西 西安 710072 |
| 摘 要： | 针对火箭基组合循环（RBCC）发动机比冲和推进剂质量流量随飞行条件改变而不断变化的特点，提出了通过增广拉格朗日遗传算法优化飞行器飞行轨迹的方法，在飞行器气动参数和发动机比冲已知、最大飞行动压给定等条件下，进行了火箭基组合循环发动机-液体火箭（RKT）发动机推进的水平起飞两级入轨（TSTO）飞行器飞行轨迹优化计算。研究结果表明：在飞行俯仰角和发动机推进剂质量流量变化范围已知的情况下，利用该方法能够在较好满足给定约束条件的情况下，优化得到飞行俯仰角和发动机流量随时间的变化关系，为飞行轨迹初步设计提供参考。 |
| 关 键 词： | 两级入轨 水平起飞 火箭基组合循环 发动机 轨迹优化 增广拉格朗日遗传算法 |
| 收稿时间： | 2013-07-12 |
| 修稿时间： | 2013-09-13 |
Trajectory Optimization Method in Two-stage-to-orbit RBCC-RKT Launch Vehicle |
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| RUAN Jian'gang,HE Guoqiang,LYU Xiang. Trajectory Optimization Method in Two-stage-to-orbit RBCC-RKT Launch Vehicle[J]. Acta Aeronautica et Astronautica Sinica, 2014, 35(5): 1284-1291. DOI: 10.7527/S1000-6893.2013.0389 | |
| Authors: | RUAN Jian'gang HE Guoqiang LYU Xiang |
| Affiliation: | National Key Laboratory of Combustion, Flow and Thermo-structures, Northwestern Polytechnical University, Xi'an 710072, China |
| Abstract: | In view of the fact that the specific impulse and propellant mass flow rate of a rocket based combined cycle (RBCC) engine change constantly with flight conditions, a method based on augmented Lagrangian genetic algorithm for optimizing the trajectory of a RBCC-RKT two-stage-to-orbit (TSTO) horizontal takeoff launch vehicle is established when the aircraft aerodynamic parameters, the engine specific impulse and the maximum flying dynamic pressure are the constant values. The result shows that employed the method and given the range of flight program angle and propellant mass flow rate between a min and a max, the constraints can be satisfied and the history of flight program angle and propellant mass flow rate are optimized to provide a reference for the scheme demonstration and preliminary concept design of the vehicle. |
| Keywords: | two-stage-to-orbit horizontal takeoff rocket based combined cycle engine trajectory optimization augmented Lagrangian genetic algorithm |
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