Trajectory Prediction under Sensor Bias Fault in a Tactical Aerial Vehicle

This work presents a bias estimation and trajectory prediction scheme under the effect of sensor bias faults occurring in the inertial measurement units (IMUs) of a tactical aerial vehicle meant for target engagement The complete arrangement consists of the flight vehicle, the telemetry and a ground station. In the proposed scheme, the ground station has a model which is a virtual replica of the flight dynamics and is used for prediction of trajectory under fault The ground model is initially driven by actuation signals received via telemetry during which sensor bias is estimated, followed by the prediction step where the estimated bias is introduced into ground plant model for accurate prediction. The proposed scheme is validated with the help of simulations which show accurate trajectory prediction under sensor bias faults.