Optimal field-of-view and impact-angle constrained guidance against a maneuvering target

To address the challenge of target loss during directional interception by a low-cost interceptor with a limited field-of-view (FOV), this paper proposes an optimal guidance law that simultaneously satisfies both impact angle and FOV constraints for intercepting a maneuvering target. Within a relative coordinate framework, the guidance problem is formulated as an optimization task with a terminal impact angle requirement and state constraint, aiming to minimize generalized control energy. Based on the prediction-correction concept, an analytical optimal control law is derived, whose gain is obtained via the high-precision Sequential Quadratic Programming algorithm. Numerical simulations across multiple engagement scenarios validate the effectiveness of the proposed guidance law. By integrating optimal control theory with an efficient numerical algorithm, the developed strategy demonstrates improved convergence in terms of constraint error and acceleration command, while consuming less energy than existing methods.