Fault diagnosis of aircraft servo mechanism based on multi-model UKF

In the nonlinear time-varying system fault diagnosis, aiming at the shortcomings of the traditional multi model adaptive estimation method, this paper proposes a fault diagnosis method based on UKF and multi model adaptive estimation for fault diagnosis of missile servo mechanism, and simulates typical faults for simulation verification. The simulation results show that when a single servo mechanism fails, the method can judge which one is faulty in time, and estimate the servo swing angle accurately. It can get rid of the application limitation of too many filters required by traditional methods, and solve the problem of inaccurate estimation of non-zero position jamming. It provides a certain reference value for quickly and accurately diagnosing missile servo mechanism failures and improving flight reliability.