Fault detection in flight control systems based on the generalized variance of the Kalman filter innovation sequence

For multidimensional dynamic systems a sensor fault detection algorithm based on the confidence interval of the generalized variance of the Kalman filter innovation sequence, is presented. The longitudinal dynamics of an aircraft control system, as an example, is considered, and detection of the fault in the air velocity sensor affecting the covariance matrix of the Kalman filter is examined.