Open AccessFault detection for switched linear parameter‐varying systems: an average dwell‐time approach
Author(s) -
Li Jian,
Yang GuangHong
Publication year - 2013
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2012.0832
Subject(s) - control theory (sociology) , dwell time , fault detection and isolation , residual , lyapunov function , filter (signal processing) , linear matrix inequality , envelope (radar) , fault (geology) , mathematics , linear system , convex optimization , computer science , regular polygon , mathematical optimization , algorithm , nonlinear system , actuator , artificial intelligence , mathematical analysis , control (management) , medicine , clinical psychology , telecommunications , geometry , quantum mechanics , computer vision , radar , physics , seismology , geology
This study is concerned with the fault detection (FD) problem for a switched linear parameter‐varying system, which is modelled by some different operating points of flight envelope. FD filters are designed such that the estimation errors between the residual signals and the faults are minimised for disturbances, faults and time‐varying parameters. By the aid of the parameter‐dependent multiple Lyapunov functions method, sufficient conditions for the solvability of this problem are formulated by linear matrix inequalities, furthermore, the filter gains are characterised in terms of a convex optimisation problem. A simulation on the longitudinal motion of Highly Maneuverable Aircraft Technology vehicle is given to demonstrate the effectiveness of the proposed methods.