Knowledge Commons of Institute of Automation,CAS
Air-to-Air Combat Tactical Decision Method based on SIRMs Fuzzy Logic and Improved Genetic Algorithm | |
Yangming,Kang1,2; Zhiqiang,Pu1; Zhen.Liu1 | |
2020-04 | |
会议名称 | The 2020 International Conference on Guidance, Navigation and Control |
会议日期 | 2020-10 |
会议地点 | 中国,天津 |
摘要 | Multiple UCAVs air-to-air combat poses great challenges such as a vast number of input variables, complex confrontation rules that are difficult to be obtained, etc. A tactical decision method based on single input rule modules (SIRMs) dynamically connected fuzzy inference model and an improved adaptive genetic algorithm (IAGA) for multiple UCAVs air-to-air combat is proposed in this paper. Considering the “dimension disaster” problem in traditional fuzzy rules design due to increasing input variables, SIRMs dynamically connected fuzzy inference model is used to make tactical decision, where all input variables are decoupled by SIRMs and the number of rules is greatly reduced. The model output is merged by adding the results of all decoupled rules with dynamic importance degrees. As accurate confrontation rules are difficult to be obtained in practice, the IAGA is designed to optimize the consequent part of the rules, which can produce detailed rules using only a simple rule skeleton. Two representative 2 vs 1 cases are simulated. The results show the validity, universality, and expansibility of the tactical decision method proposed in this paper. It also can be easily extended to n vs n cases in different combat situations. |
关键词 | Multiple UCAVs SIRMs Adaptive genetic algorithm Air-to-air combat Tactical decision |
收录类别 | EI |
七大方向——子方向分类 | 机器博弈 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/41455 |
专题 | 复杂系统认知与决策实验室_飞行器智能技术 |
通讯作者 | Zhiqiang,Pu |
作者单位 | 1.中科院自动化研究所 2.中国科学院大学 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yangming,Kang,Zhiqiang,Pu,Zhen.Liu. Air-to-Air Combat Tactical Decision Method based on SIRMs Fuzzy Logic and Improved Genetic Algorithm[C],2020. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Air-to-Air Combat Ta(282KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
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