Fault detection for networked flight vehicle based on asynchronously switched polytopic system approach

The fault detection problem is investigated for the full-envelope networked flight vehicle with time-varying short delay and stochastic packet loss. First, the flight dynamics is modeled as a switched polytopic system, and a locally overlapped region partition method is presented to reduce the design conservatism. Then, the delay and packet loss can be transformed as polytopic system parameters by introducing Bernoulli distributing and Taylor series expansion, and the switched parameter-dependent fault detection filters are established. Also, considering the updating lags of the filter switching signals and weight parameters of the polytopic subsystems, we analyze the system stability and l₂ performance under asynchronous switching by combing the switched parameter-dependent Lyapunov function and the average dwell time method, and the sufficient existing conditions of filters are derived in the form of LMIs. Finally, numerical examples based on the HiMAT (highly maneuverable technology) vehicle are given to demonstrate the effectiveness of the proposed method.