An enhanced UAV safety control scheme against attacks on desired trajectory

The detection and compensation of attacks are crucial for UAV safety. This paper focuses on the case where the desired trajectory sent by ground control station (GCS) is attacked. Based on the analysis of the attack transmission mechanism, an integrated scheme of attack detection and compensation is presented. The attack detection mechanism is established based on the trajectory tracking error and state estimation error. In addition, the proposed scheme can not only detect attacks but also distinguish attacks from unknown abrupt disturbances. In the proposed scheme, attack observer (AO) and learning observer (LO) are developed to address the coupling problem of additive and multiplicative attacks. Finally, the effectiveness of the proposed scheme is validated by both simulation and experimental tests.