| 基于改进的蚁群算法的亚轨道再入飞行器弹道优化 |
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| 引用本文： | 张斌,关世义,陈士橹.基于改进的蚁群算法的亚轨道再入飞行器弹道优化[J].宇航学报,2011,32(6). |
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| 作者姓名： | 张斌 关世义 陈士橹 |
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| 作者单位： | 1. 西北工业大学航天学院,西安,710068
2. 北京机电工程研究所,北京,100074 |
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| 摘 要： | 基于阻力与能量再入导引律,用改进的蚁群算法优化SLV再入阻力-能量关系剖面,其优化的性能指标为总吸热量最小,并采用LQR法跟踪参考弹道.仿真结果表明,优化方法简便易行,跟踪器性能良好.
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| 关 键 词： | 优化 蚁群算法 LQR 再入 |
Modified Ant Colony Algorithm-Based Reentry Trajectory Optimization for Suborbital Launch Vehicle |
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| ZHANG Bin,GUAN Shi-yi,CHEN Si-lu.Modified Ant Colony Algorithm-Based Reentry Trajectory Optimization for Suborbital Launch Vehicle[J].Journal of Astronautics,2011,32(6). |
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| Authors: | ZHANG Bin GUAN Shi-yi CHEN Si-lu |
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| Institution: | ZHANG Bin1,GUAN Shi-yi2,CHEN Si-lu1(1.College of Astronautics,Northwestern Polytechnical University,Xi'an 710068,China,2.Beijing Electro-Mechanical Engineering Institute,Beijing 100074,China) |
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| Abstract: | Based on the drag-energy guidance law, a modified ant colony optimization algorithm is used to optimize the drag-energy profile and its cost function is to minimize the total heat load for the SLV reentry trajectory. A LQR trajectory control law is used to track the reference trajectory. Flight simulation results demonstrate feasibility and effectiveness of the method. |
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| Keywords: | Optimization Ant colony optimization algorithm LQR Reentry |
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