A Method for Comprehensive Diagnosis of Sensors of Flight Control System Using Analytical Redundancy

To restrain the difficulty of model uncertainties, computational complexity and non-robustness in traditional method, A method for real-time diagnosis and accommodation of one single-redundant sensor of flight control system is presented, which is based on analytical redundancy. The analytical models of sensors are set up by using several kinematic and dynamic relationships between the given sensors. A improved sequential probability ratio test (SPRT) is proposed to promise the robustness and rapidity of residual analysis. After isolation of a sensor, the analytical relation is used in signal reconfiguration of faulty sensor. The scheme is illustrated through simulations applying to an aircraft. Results show the effectiveness, robustness and rapidity of the method in fault diagnosis of sensors of flight control system.