Three-dimensional field-of-view-constrained guidance law against maneuvering target with intercept angle control

Abstract

Most existing three-dimensional (3D) impact angle guidance laws against maneuvering target focus on terminal-angle-constrained guidance without considering the field-of-view (FOV) limit. In this study, a 3D nonsingular FOV-constrained guidance strategy with the desired impact angles is proposed. The analytical expression between the desired impact angles and terminal light-of-sight angles is derived by integrating the transition matrix in the interception time with the collision triangle theory. A novel fixed-time sliding mode surface is presented and, based on it, guidance commands are generated. The radial basis function neural networks are combined with composite intelligent learning to improve the approximation precision of target maneuvering. Furthermore, a barrier Lyapunov function is used in the pitch plane to satisfy the FOV constraint. For the capturability analysis, the analytical achievable impact sets are calculated. Simulations are demonstrated to verify the effectiveness and robustness of the proposed guidance strategy.