CASIA OpenIR  > 毕业生  > 硕士学位论文
Thesis Advisor常红星
Degree Grantor中国科学院研究生院
Place of Conferral北京
Keyword态势估计 战术决策 机动决策 D-s Cpn Tools
       空战过程难以用特定的数学模型表达,本文针对一架有人机和一架无人机的情况,基于大量的文献介绍,总结了巡航、接敌、进攻和撤退四个主要空战阶段的战术规则,并利用第三方软件CPN Tools实现了基于Petri网的战术决策推理过程。CNP Tools的可视化建模方式使得系统设计和推理过程更为直观,支持子图的功能降低了系统不同模块之间的耦合性,从而一定程度上保证了战术规则库的维护性和扩展性。
Other AbstractCooperative combat of multi-aircrafts formation raises worldwide concern, it gains solid theory foundation provided by advanced artificial and weapon support provided by the development of air to air missiles. Related researches of the cooperative combat among the manned aircrafts and the unmanned aircrafts are treated as the primary research direction of air combat form in the future by many countries.
       Many existing algorithms of cooperative combat of multi-aircrafts formation focus on areas such as data fusion, situation assessment, target assignment, firepower assignment, route planning, suppression of enemy air defense and maintaining formation all collaboratively, rarely involve real time tactics and maneuvering decision for multi-aircrafts. In view of this situation, herein an architecture is proposed based on tactics architecture of one-to-one air combat, the primary research work mainly includes three parts: situation assessment, tactics decision and maneuvering decision.
       In the existing situation assessment methods, the Bayes network model is mostly used, yet this method has to meet the additivity condition as well as constructing many conditional tables, which reduces the extensibility of the method. Besides, with the increasing of nodes, it is difficult to ensure a real-time system. To solve these problems, herein a situation model in multi-level based on D-S theory, which is free from additivity condition, is proposed. In order to reduce the influence of man-made evidences on system robustness, fuzzy functions are used to calculate the initial uncertainty of evidences. In addition, the use of clustering to cut evidences ensures the real-time system. Experiment results shows that this situation model is able to maintain real-time ability and effectiveness at the same time.
Combat process is hard to be modeled mathematically, for the case of cooperation between one manned aircraft and one unmanned aircraft, herein rules of four phases in air combat are summarized, including cruising, approaching, attacking and retreating, and a third party software, CPN Tools, ensures the reasoning process of rules designed on Petri net. At the same time, the abilities of visualizing design and supporting sub graphs reduce the coupling among various parts and in some extent improves the extensibility and maintainability of the rules data base.
Combat situation is complex and changeable, UAVS will meet pop-up threats at any time. When the leader is unable to deal with the emergencies, UAV is easy to be attacked and crash. To avoid this situation, herein a mathematical model of pilots’ training experiences is proposed, which ensures the automatic maneuvering decision of the unmanned wingmen. The experiment results show that in the combat with human handled simulation aircraft, the UAV wins more than 90% of the game, which indicates that this model is in accord with the requirements of air combat.
Base on the existed research work, a multi quadcopters platform is used to test the effectivity and rationality of the cooperation formation air combat tactics decision system of multi aircrafts. The results show that, in the barrier free environment and slow speed, the platform is able to make reasonable tactics decision, indicating the reasonability and effectivity of the decision system.
Document Type学位论文
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
贺雪梅. 协同编队自主空战战术决策方法研究[D]. 北京. 中国科学院研究生院,2016.
Files in This Item:
File Name/Size DocType Version Access License
协同编队自主空战战术决策方法研究.pdf(3985KB)学位论文 暂不开放CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[贺雪梅]'s Articles
Baidu academic
Similar articles in Baidu academic
[贺雪梅]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[贺雪梅]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.