Research On Distributed Diagnostic System Of UAVs Based On LXI Bus

With the three-dimensional war become a new trend of the military development,unmanned aerial vehicles in the intelligence access,precision strike and other activities play an important role.According to the principle of their combat,unmanned aerial vehicles position in a widely geographical distribution of scattered,and have critical damage rate,mang test items.To solve the problem of the recovery of combat effectiveness of unmanned aerial vehicles(UAVs)and the life guarantee of the whole vehicles group to maximize the success rate of tasks,this paper presents a design of distributed diagnostic system of UAVs based on LXI bus.Based on the original diagnostic system based on the serial bus,the LXI bus conversion circuit is used to obtain the LXI C class test system.The high speed networked distributed field test capability extend the application scope and workplace,and the support vector machine diagnosis model based on particle swarm optimization is established The model not only reduces the difficulty of the operator,but also improves the response speed and compatibility of the unknown outburst fault type.This paper firstly introduces the key part of the principle of the system,Secondly,the design scheme of LXI C class bus conversion circuit and instrument web server based on ARM 9 is given.After discussing the principle of UAV fault diagnosis and comparing several artificial intelligence algorithms,an intelligent optimization support vector machine(SVM)fault diagnosis model is established.And then gives the results of connection tests and diagnostic system simulation experiment on personal computers.To expand the scope of application in future,the paper finally explores the realization of LXI B class instruments have time synchronization function.The intelligent diagnostic system based on LXI bus can be used in a decentralized test network,with good compatibility and maintainability,which has been validated in simulation experiments.The diagnostic system improves the reliability of UAVs in field conditions while reducing the physical and technical requirements of the operating staffs.