Online fault detection of networked control systems for flight vehicles

An online fault detection algorithm for the networked control system of flight vehicle was proposed considering the network-induced delay and the short sampling period. The fault detection model was established for the impact of the unknown time-delay. Based on the model, the residual generator was constructed and the fault detection of networked control systems was converted to the minimum optimization problem. Furthermore, the solution of the problem was given in the form of Moore-Penrose Inverse of matrix, and the fault detection algorithm was optimized in every sampling period. The numerical example shows that the proposed fault detection method is sensitive to the fault, and it is also robust to the unknown disturbance caused by the unknown delay.