Collision avoidance guidance and control scheme for vector propulsion unmanned surface vehicle with disturbance

Abstract

In this paper, a collision avoidance guidance and control (CAGC) scheme for fully autonomous unmanned surface vehicle (USV) according to the guidance, navigation and control (GNC) architecture is studied. The CAGC scheme is divided into guidance layer and control layer. To avoid the possibility of collision in tracking guidance, the proposed guidance layer needs remove the tracking guidance and realize the direct guidance to the control layer, which is designed according to the theory of finite control set model predictive control (FCS-MPC) with control ability. Next, to balance the contradiction between calculation and guidance accuracy, the methods of delay compensation and control set normal distribution are designed. In addition, in the control layer, the vector propulsion USV as the control object is non-minimum phase system because of its small size and significant sway thrust, so the virtual control point is used to solve this system, and the relationship between virtual control point and vessel speed is determined by zero-dynamics stability analysis. And the control layer adopts adaptive sliding mode control theory to resist the influence of strong disturbances. Finally, simulation results are provided to illustrate the efficacy of the CAGC scheme.