Fault Detection and Diagnosis of a Certain UAV Based on Dual Unscented Kalman Filter

摘要：

　　This paper presents an applicable procedure of integrated fault detection and diagnosis for an unmanned aerial vehicle aircraft model.The implementation of a Fault detection and diagnosis (FDD) scheme in handling partial control effector fault cases based on a dual unscented Kalman filter (DUKF) and a Baysian rule for detection and isolation decision making.Simulation results show satisfactory results for detecting and diagnosing the control effectors failures.

关键词： Dual unscented Kalman filter (DUKF) Fault detection and diagnosis (FDD) Fault tolerant control system (FTCS)

作者: Li Li Hua-min Zhang

作者单位: Department of Aerial Instrument and Electric Engineering, The First Aeronautical Institute of PLA Ai Department of Aerial Ammunition Engineering, The First Aeronautical Institute of PLA Air Force, Xiny

会议类型: 国际会议

会议名称: 2013西安国际航空维修与管理学术会议

会议地点: 西安

会议语种:英文

页码: 295-301

在线出版日期: 2013-11-25（万方平台首次上网日期，不代表论文的发表时间）