Fault detection for switched linear parameter-varying systems: an average dwell-time approach

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.