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论文:2016,Vol:34,Issue(1):159-165 |
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引用本文： |
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董康生, 黄长强, 黄汉桥, 曹林平, 唐传林. 基于混合策略的UCAV攻击轨迹在线规划方法[J]. 西北工业大学学报 |
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Dong Kangsheng, Huang Changqiang, Huang Hanqiao, Cao Linping, Tang Chuanlin. Online Planning Method for UCAV Attack Trajectory Using Multi-Strategies[J]. Northwestern polytechnical university |
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| 基于混合策略的UCAV攻击轨迹在线规划方法 |
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| 董康生, 黄长强, 黄汉桥, 曹林平, 唐传林 |
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| 空军工程大学 航空航天工程学院, 陕西 西安 710038 |
| 摘要: |
| 针对无人作战飞机(unmanned combat aerial vehicle,UCAV)在线轨迹规划问题,提出了一种基于混合策略的方法。首先,针对动态不确定环境,设计了基于事件触发的轨迹滚动规划方案;其次,基于UCAV飞行性能约束对数字地形进行平滑处理,生成安全可飞行曲面;再次,提出了利用函数表征重规划段轨迹的方法,分析了轨迹函数特性和端点约束处理方法,进而将轨迹规划问题转化为轨迹函数寻优问题,减少了轨迹寻优参数数量;最后,引入平均速度和FUCH混沌映射对粒子群算法进行改进,并利用其对轨迹函数进行寻优。数字仿真结果表明,利用该方法完成一次轨迹在线重规划只需0.2 s,表明了该方法具有较好的实时性,能满足轨迹在线规划要求。 |
| 关键词:
UCAV
轨迹在线规划
滚动优化
轨迹函数寻优
混沌粒子群算法
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| Online Planning Method for UCAV Attack Trajectory Using Multi-Strategies |
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| Dong Kangsheng, Huang Changqiang, Huang Hanqiao, Cao Linping, Tang Chuanlin |
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| Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an 710038, China |
| Abstract: |
| A trajectory online planning method using multi-strategies is proposed for UCAV. Firstly, to copy with dynamic and changeable environment, we design an event triggered trajectory rolling planning program. Secondly, according to UCAV flying bounds, a safe and flyable curve generating method is designed by smoothing on digital geographical map. Thirdly, make use of function to replace with re-planning trajectory, analyze trajectory function speciality and terminal point handling methods, translating trajectory planning problem to trajectory function optimal problem; this reduces the number of optimal parameters. Lastly, we improve particle swarm optimization on its inertia weight and stagnant particles by introducing average speed and FUCH chaos mapping; this improves its convergence and global optimality; then we make use of the improved method to search for optimal trajectory function. Results of simulation show that the method proposed by us accomplishes an online trajectory re-planning in only 0.2s; clearly our method meets the requirements of trajectory online re-planning with its good real-time ability. |
| Key words:
UCAV
trajectory online planning
rolling planning
trajectory function optimization
chaotic PSO
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| 收稿日期: 2015-04-24
修回日期:
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| DOI: |
| 基金项目: 国家自然科学基金(71501184)资助 |
| 通讯作者:
Email： |
| 作者简介: 董康生(1988-),空军工程大学博士研究生,主要从事无人作战飞机自主空战、轨迹优化的研究。
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