| 基于改进粒子群算法的高超声速飞机爬升轨迹优化 |
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| 引用本文： | 罗 鸣,左林玄.基于改进粒子群算法的高超声速飞机爬升轨迹优化[J].飞机设计,2023,43(4):7-11. |
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| 作者姓名： | 罗 鸣 左林玄 |
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| 作者单位： | (沈阳飞机设计研究所，辽宁沈阳 110035) |
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| 摘 要： | 装备涡轮基组合动力发动机的高超声速飞机,其推力特性不同于传统的涡扇发动机,因此传统飞机的爬升策略不再适合这类高超声速飞行器。在分析了飞机爬升段数学模型的基础上,基于改进粒子群优化算法针对某高超声速飞机模型飞行剖面爬升段,以最小燃油消耗为目标进行轨迹优化设计。通过仿真计算,优化后的爬升段飞行轨迹能有效减少燃油消耗,证明了优化方法的可行性。
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| 关 键 词： | 高超声速飞机:爬升段轨迹优化:粒子群算法 |
| 收稿时间： | 2023/5/29 0:00:00 |
| 修稿时间： | 2023/6/29 0:00:00 |
Climb Trajectory Optimization of Hypersonic Aireraft Based onImproved Particle Swarm Optimization |
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| LUO Ming,ZUO Linxuan.Climb Trajectory Optimization of Hypersonic Aireraft Based onImproved Particle Swarm Optimization[J].Aircraft Design,2023,43(4):7-11. |
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| Authors: | LUO Ming ZUO Linxuan |
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| Institution: | (Shenyang Aircraft Design & Research Institute, Shenyang 110035, China) |
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| Abstract: | The thrust characteristics of a hypersonic aircraft equipped with a turbo-base combined en-gine are different from that of a conventional turbofan engine ,so the climb strategy of a conventionalaircraft is no longer suitable for such hypersonic vehicles. Based on the improved particle swarm optimization algorithm , the trajectory optimization of a hypersonic aircraft model is designed with mini.mum fuel consumption as the target. Simulation results show that the optimized flight trajectory canreduce fuel consumption effectively. The feasibility of the optimization method is proved. |
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| Keywords: | hypersonic aircraft climb trajectory optimization particle swarm algorithm |
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