TY - JOUR
T1 - Fault Detection and Diagnosis of the Homogenous Quadcopter Team in the Presence of Wind Disturbance
AU - Hepeng, Zhang
AU - Zhiyao, Zhao
AU - Quan, Quan
N1 - Publisher Copyright:
© 2018
PY - 2018
Y1 - 2018
N2 - In order to ensure the normal operation and increase the safety, reliability and mission dependability of quadcopters, the fault detection and diagnosis is very important. In this paper, the problem of fault detection and diagnosis is investigated for the homogenous quadcopter team subject to non-negligible wind disturbance. However, it is difficult to accurately diagnose the fault, because it is coupled with the wind disturbance, whose effect is difficult to eliminate. For this problem, first, the observability is analyzed for the sum effect of the fault and the wind disturbance of one quadcopter, for the fault of one quadcopter, and for the fault of the homogenous quadcopter team, respectively. By analysis, the fault in the situation of the homogenous quadcopter team is observable under some reasonable assumptions. Based on this, a procedure is further proposed to detect and diagnose the fault for the homogenous quadcopter team, eliminating the effect of the wind disturbance. Finally, the simulation demonstrates the effectiveness of the proposed procedure.
AB - In order to ensure the normal operation and increase the safety, reliability and mission dependability of quadcopters, the fault detection and diagnosis is very important. In this paper, the problem of fault detection and diagnosis is investigated for the homogenous quadcopter team subject to non-negligible wind disturbance. However, it is difficult to accurately diagnose the fault, because it is coupled with the wind disturbance, whose effect is difficult to eliminate. For this problem, first, the observability is analyzed for the sum effect of the fault and the wind disturbance of one quadcopter, for the fault of one quadcopter, and for the fault of the homogenous quadcopter team, respectively. By analysis, the fault in the situation of the homogenous quadcopter team is observable under some reasonable assumptions. Based on this, a procedure is further proposed to detect and diagnose the fault for the homogenous quadcopter team, eliminating the effect of the wind disturbance. Finally, the simulation demonstrates the effectiveness of the proposed procedure.
KW - diagnosis
KW - extended Kalman filter
KW - Fault detection
KW - homogenous quadcopter team
KW - observability
UR - http://www.scopus.com/inward/record.url?scp=85054574978&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2018.09.531
DO - 10.1016/j.ifacol.2018.09.531
M3 - 文章
AN - SCOPUS:85054574978
SN - 2405-8963
VL - 51
SP - 74
EP - 81
JO - 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2018: Warsaw, Poland, 29-31 August 2018
JF - 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2018: Warsaw, Poland, 29-31 August 2018
IS - 24
ER -