大型无人机电源系统故障诊断专家系统

张秦岭; 郭宏; 姜旭

大型无人机电源系统故障诊断专家系统

北京航空航天大学无人驾驶飞行器设计研究所, 北京 100191

基金项目: 北京市优秀人才培养资助计划(2011D009002000003)

详细信息

中图分类号: TP182
计量
- 文章访问数: 1777
- HTML全文浏览量: 237
- PDF下载量: 628
- 被引次数: 0
出版历程
- 收稿日期: 2012-09-06
- 修回日期: 2013-03-04
- 网络出版日期: 2013-08-30

Fault diagnosis expert system for electric power system of large-scale UAVs

Research Institute of Unmanned Aerial Vehicle, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 在以PXI总线和虚拟仪器技术为核心的测试系统平台基础上,针对大型无人机机载电源系统及典型配电结构,通过故障模式分析和故障树设计等手段,设计了适用于大型无人机机载电源系统的故障诊断专家系统来推理故障原因、定位故障位置和提出解决措施.在该系统中,建立了基于规则的正向推理专家知识库并引入置信度因子来解决故障的非精确推理问题.通过某型无人机电源系统的试验验证,本系统可有效提高测试的智能化程度,满足无人机机载系统的维修性、保障性要求.
- 无人机 /
- 电源系统 /
- 专家系统 /
- 故障诊断
Abstract: A fault diagnosis expert system of onboard power system and typical power distribution structure was designed for large-scale unmanned aerial vehicles (UAV), based on the test platform built with PXI bus and virtual instrument technology. By means of failure mode analysis and fault tree design, it is able to infer the cause of malfunction, locate fault location and propose solutions.In the system, a forward reasoning expert knowledge base on rule is built, in which a certainty factor was introduced to solve the non-exactinference in complex systems.Experiments of a UAV power supply system show that the proposed system can effectively improve the degree of intelligence of the test platform and meet the requirements of maintainability and supportability in the airborne system.
- unmanned aerial vehicles(UAV) /
- electric power system /
- expert system /
- fault diagnosis

HTML全文

参考文献(1)

[1] Zhang Qinling,Xu Jinquan,Guo Hong.The study of an intelligent tri-redundancy electrical load management center based on DSP and FPGA[C]//Electrical Machines and Systems (ICEMS),2010 International Conference on.Incheon:IEEE,2010:1907-1911 [2] Frank P M.Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and somenew results[J].Automatica,1990,26(3):459-474 [3] Gazzana D S,Oliveira M O,Bretas A S,et al.An expert system for substation fault detection in thermoelectric generation plants[C]//Modern Electric Power Systems (MEPS),2010 Proceedings of the International Symposium.Wroclaw,Poland:IEEE,2010:1-6 [4] 蔡自兴,Durkin J,龚涛.高级专家系统:原理、设计及应用[M].北京:科学出版社,2005:153-179 Cai Zixing,Durkin J,Gong Tao.Advanced expert systems:principles,design and applications[M].Beijing:Science Press,2005:153-179(in Chinese) [5] 李博.基于虚拟仪器技术的故障诊断专家系统的实现[J].计算机测量与控制,2009,17(7):1258-1260 Li Bo.Realization of expert systems for failure diagnoses based on VI technology[J].Computer Measurement & Control,2009,17(7):1258-1260(in Chinese) [6] 牛星岩,沈颂华,董世良.基于模糊推理的飞机电源系统故障诊断专家系统[J].电子测量技术,2007,30(12):59-62 Niu Xingyan,Shen Songhua,Dong Shiliang.Fuzzy fault diagnosis expert system in aircraft power system[J].Electronic Measurement Technology,2007,30(12):59-62(in Chinese) [7] 杜江,任滢.故障智能诊断专家系统模型研究[J].光电技术应用,2009,24(4):73-76 Du Jiang,Ren Ying.An expert systems model of malfunction intelligent diagnose[J].Electro-optic Technology Application,2008,24(4):73-76(in Chinese) [8] 余瑞.无人机飞行控制系统故障智能诊断专家系统的设计[D].成都:电子科技大学航空航天学院,2011 Yu Rui.Design of fault diagnosis expert systemfor UAV flight control system[D].Chengdu:Institute of Astronautics & Aeronautic,University of Electronic Science and Technology,2011(in Chinese)

施引文献

资源附件(0)

访问统计