TY - JOUR
T1 - Application of non-parametric methods for integrity monitoring of flight control systems
AU - Merkl, Christian
AU - Holzapfel, Florian
N1 - Publisher Copyright:
© 2018
PY - 2018/1/1
Y1 - 2018/1/1
N2 - A method to monitor the integrity of flight control systems was developed and demonstrated. It is based on frequency response function estimates that are computed online with the transient local polynomial method. Confidence regions are derived and related to robust stability criteria to assess the probability of stability. Different from previous non-parametric approaches, the algorithm accounts for non-zero initial- and final conditions, colored noise and can be applied to open- and closed loop systems; when compared to parametric approaches, it is simpler, as no parametric model is required. The validity of the confidence regions is verified with Monte Carlo simulations. The usability to monitor changes of the plant dynamics is demonstrated by an example with changing dynamics.
AB - A method to monitor the integrity of flight control systems was developed and demonstrated. It is based on frequency response function estimates that are computed online with the transient local polynomial method. Confidence regions are derived and related to robust stability criteria to assess the probability of stability. Different from previous non-parametric approaches, the algorithm accounts for non-zero initial- and final conditions, colored noise and can be applied to open- and closed loop systems; when compared to parametric approaches, it is simpler, as no parametric model is required. The validity of the confidence regions is verified with Monte Carlo simulations. The usability to monitor changes of the plant dynamics is demonstrated by an example with changing dynamics.
KW - aircraft control
KW - frequency responses
KW - integrity monitoring
KW - non-parametric identification
KW - robust stability
KW - system identification
UR - http://www.scopus.com/inward/record.url?scp=85054357696&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2018.09.067
DO - 10.1016/j.ifacol.2018.09.067
M3 - Article
AN - SCOPUS:85054357696
SN - 2405-8963
VL - 51
SP - 975
EP - 980
JO - 18th IFAC Symposium on System Identification SYSID 2018: Stockholm, Sweden, 9-11 July 2018
JF - 18th IFAC Symposium on System Identification SYSID 2018: Stockholm, Sweden, 9-11 July 2018
IS - 15
ER -