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论文:2014,Vol:32,Issue(2):315-322 |
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引用本文： |
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姚从潮, 王新民, 陈晓, 尹海韬. 基于改进多目标遗传算法的再入飞行控制分配研究[J]. 西北工业大学 |
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Yao Congchao, Wang Xinmin, Chen Xiao, Yin Haitao. Reentry Flight Control Allocation Research Based on Improved Multi-Objective Genetic Algorithm[J]. Northwestern polytechnical university |
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| 基于改进多目标遗传算法的再入飞行控制分配研究 |
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| 姚从潮1,2, 王新民2, 陈晓2, 尹海韬2 |
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1. 中国电子科技集团第 38 研究所, 安徽 合肥 230031;
2. 西北工业大学 自动化学院, 陕西 西安 710072 |
| 摘要: |
| 高超声速飞行器再入飞行段需要反推力器进行辅助姿态控制,控制力矩向气动舵面和反推力器的合理分配是再入飞行控制的一个关键问题。文章考虑燃料消耗、舵面偏转状态和误差三要素,将控制分配视为一个多目标优化的问题,提出了一种改进的多目标遗传算法。引入一种改进的模拟退火算法提高局部搜索能力;为保证种群的多样性,提出了一种改进的小生境技术,将距离参数设置为动态的函数,并引入种群的繁殖代数。分别设计燃料消耗、舵面偏转和误差的代价系数、约束条件等,获得多目标Pareto解集,并基于模糊逻辑,在最优解集中寻获最优解。通过仿真验证了方法的有效性。 |
| 关键词:
高超声速飞行器
再入
遗传算法
多目标优化
控制分配
Pareto最优解
模糊控制
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| Reentry Flight Control Allocation Research Based on Improved Multi-Objective Genetic Algorithm |
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| Yao Congchao1,2, Wang Xinmin2, Chen Xiao2, Yin Haitao2 |
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1. No. 38 Research Institute of China Electronics Technology Group Corporation, Hefei 230031, China;
2. Department of Automatic Control, Northwestern Polytechnical University, Xi'an 710072, China |
| Abstract: |
| The reentry of the hypersonic vehicle requires reaction thruster to assist attitude control. How to allocate the control moment to aerodynamic surfaces and reaction thruster properly is a key problem. The fuel consumption, the surface deflection and the error are considered in this paper. An improved multi-objective optimization genetic algorithm is proposed when regarding control allocation as a multi-objective optimization problem. A modified simu-lated annealing algorithm is introduced. An improved niche selection technology is put forward to maintain the popu-lation diversity. The distance parameter is set as a dynamic function and generation quantity of the population is in-troduced at the same time. The cost coefficient and constraint are designed respectively to obtain Pareto optimal so-lutions set. On the basis of fuzzy logic, the optimal solution is selected. Finally effectiveness is verified by simula-tion. |
| Key words:
hypersonic vehicles
reentry
genetic algorithms
multiobjective optimization
control allocation
pareto-optimal solutions
fuzzy logic
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| 收稿日期: 2013-09-10
修回日期:
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| DOI: |
| 基金项目: 青年科学基金(51377134)资助 |
| 通讯作者:
Email： |
| 作者简介: 姚从潮(1986-),西北工业大学博士研究生,主要从事飞行控制方法的研究。
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