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基于586-Driver的无人机飞控计算机智能检测系统研制
引用本文:高艳辉,肖莉萍,李强,李志宇.基于586-Driver的无人机飞控计算机智能检测系统研制[J].应用声学,2017,25(10):4-6, 18.
作者姓名:高艳辉  肖莉萍  李强  李志宇
作者单位:南京航空航天大学 中小型无人机先进技术工信部重点实验室,南京航空航天大学 中小型无人机先进技术工信部重点实验室,南京航空航天大学 自动化学院,南京航空航天大学 中小型无人机先进技术工信部重点实验室
基金项目:中国人民解放军装备部预研(51325010601)。
摘    要:传统飞控计算机检测方法以人工操作为主,存在一定的主观性且效率低下的缺点。采用信号门限检测技术,设计了飞控计算机一键式全功能检测方案。以586-Driver板卡为核心,设计了智能检测系统,实现了在全程无人干预情况下对飞控计算机按预设时序逻辑的自动检测。通过系统测试表明:满足某型飞控计算机的检测需求,提高了飞控计算机检测效率,具有实际工程应用价值。

关 键 词:飞控计算机  586-Driver  自动检测
收稿时间:2017/2/14 0:00:00
修稿时间:2017/3/10 0:00:00

Development of UAV Flight Control Computer Automatic Detection System Based on 586-Driver
Gao Yanhui,Xiao Liping,Li Qiang and Li Zhiyu.Development of UAV Flight Control Computer Automatic Detection System Based on 586-Driver[J].Applied Acoustics,2017,25(10):4-6, 18.
Authors:Gao Yanhui  Xiao Liping  Li Qiang and Li Zhiyu
Institution:Key Laboratory of Unmanned Aerial Vehicle Technology Nanjing University of Aeronautics and Astronautics ,Ministry of Industry and Information Technology,Key Laboratory of Unmanned Aerial Vehicle Technology Nanjing University of Aeronautics and Astronautics ,Ministry of Industry and Information Technology,Department of Automation,Nanjing University of Aeronautics and Astronautics,Key Laboratory of Unmanned Aerial Vehicle Technology Nanjing University of Aeronautics and Astronautics ,Ministry of Industry and Information Technology
Abstract:The most traditional detection of flight control computer is manual operation with a certain subjectivity and low efficiency. Signal threshold detection technology are adopted, and a set of fully functional testing solution of flight control computer on one-click is developed. A smart system of automatic detection is designed with 586-Driver board as the core, which realizes the sequential testing of the flight control computer without manual operation. The test result shows: the system meets the requirement of detection, the efficiency of detection of UAV flight control computer is improved.
Keywords:flight control computer  586-Driver  automatic detection
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