Research On The Key Technology Of Intelligent Fire Control System Of Unmanned Aerial Vehicle Based On Data Link

This thesis mainly works on some key Technology of Intelligent Fire Control System of Unmanned Aerial Vehicle Based on Data Link in the Network-centric warfare, including the construction of a simulation of Data link and the intelligent fire control system of UAV.Firstly, the definition and logical operations structure of network centric warfare is introduced. After analyzing the importance of the network data link system and UAV operational node in the network centric warfare, some key technologies of the construction of data link system is given, including the software, hardware and features.Secondly, the simulating platform of network data link system is set up.After the introduction of the functions of the necessary modules of the platform, such as the information management module and the data encryption module, the platform of data link system for UAV that can meet the requirements of multi-user simultaneous access is built by asp.net. Commander and staff are authorized to visit the database in different level, the safety of the database is highly proteceted. In order to prevent information being stolen by enemy,chief commander can format all the database at emergency.Thirdly, a new algorithm was proposed for intelligent fire control system of UAVs. And weighted grey target theory was utilized to estimate the threats in Multi Air Combat, based on analysis for effecting factors of UAV performance index in Air Combat. These estimate conclusions reveal that chaos ant colony optimization algorithm is an available selection in optimizing fire distribution for multiple planes. It combines the advantages of chaos algorithm and ant colony optimization algorithm. Chaos algorithm shows the information sensibility in beginning area. Ant colony optimization algorithm is expert in optimizing effect during ending area and is not confused by locally optimal solution. Simulation analysis shows chaos algorithm and ant colony optimization algorithm could shorten optimizing time, guarantee shooting efficiency, and satisfy indexes for time and optimizing efficiency. Meanwhile, position and maneuver problems which have significant influence effect in Air Combat are discussed in this investigation. Maneuver decision method is proposed for single plane based on fuzzy neural network.Finally, bases on the platform of Windows, the three dimension visual simulation of missile attack is studied by Multigen-Creator and vega,it shows the whole process vividly.