Collision Avoidance Control Law for Aircraft under Uncertain Information

Abstract

This paper describes a collision avoidance problem for aircraft. In a conventional avoidance problem, it is assumed that the target information is certain. However, information may not be always certain, and handling of uncertain information has not been discussed. Therefore, a new control law is proposed to deal with uncertain information and to obtain correct information. The uncertainty depending on position, which is defined in the inertial or relative coordinate system, is dealt with in this paper. To cover each coordinate system, the proposed control law is applied to the ‘corner’ and ‘in-fog’ problems. Several elements are defined to express uncertainty of target information. Simulation results show that severe avoidance caused by conventional law is improved to obtain satisfactory performance by dealing with uncertain information.