Smooth switching linear parameter-varying fault detection filter design for morphing aircraft with asynchronous switching

Abstract

This article deals with the problem of fault detection filters design for morphing aircraft with asynchronous switching. Considering time delay and intermittent measurements in the network environment, the morphing aircraft can be modeled as a switched linear parameter-varying (LPV) system. There always exists asynchronous switching phenomenon owing to time delay and data missing, which will lead to performance degradation. The parameter-dependent filters are established to generate the residual signal. In order to ensure the transient response of the morphing aircraft, the smooth switching LPV fault detection filters are designed by dividing the whole scheduling parameter set into subsets with overlaps. Meanwhile, the stability and prescribed performance of the system are guaranteed by combining multiple Lyapunov functional method and mode-dependent average dwell time method. The existing conditions and solution of filters are derived by linear matrix inequalities. Furthermore, an automatic partition method is proposed for the convenience of designing process. Simulation in the end demonstrates the superiority and effectiveness of the proposed method.