Because the magnitude of each order of oscillation signals in the yaw and roll channels of missile control systems varies with various influences, it is impossible to diagnose faults in the sensors of these channels using model-based fault diagnosis. Based on the characteristics of the systems, a method of fault diagnosis with adjacent wavelet coefficient algorithm is given. Further, based on the difference between the characteristics of the Mallat wavelet coefficients and that of Coilflets wavelet, different algorithms are given. Then, thresholds can be properly selected and abrupt faults diagnosed. A method to diagnose disconnection or short circuit faults is also proposed according to the zone of the current and the zone of voltage when the fault occurs gradually. The combination of these two methods effectively solves fault diagnosis problems of sensors in missile control systems.
To improve the reliability of missile control systems and to prevent self-destruction caused by faulty inertia sensors, a novel approach of fault-tolerant control with signal reconfiguration is proposed. The rigid body angle signals and the different-order elastic oscillation-caused angle signals are first separated from output signals of the inertia sensors with signal processing. Then, the relationship between the elastic oscillation of the missile body and the attitude angles and the relationship among the output signals of the sensors are analysed. Finally, the normal signal of a faulty sensor is reconfigured with the output signals of other normally working sensors via analytical redundancy. Some examples are provided to illustrate the main results.
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