Cooperative interception guidance for multiple vehicles: A receding horizon optimization approach

Abstract

In the traditional terminal guidance, the state estimator and guidance law are design independently by assuming the validity of the separation principle and the certainty equivalence principle, which are only valid for linear systems with Gaussian noise. This paper considers the nonlinear terminal guidance system for a target interception problem by multiple vehicles. Firstly, the probability density function of target position at the intercept time instant is predicted based on estimates of the current state considering special environment and possible complex maneuver of the target; Secondly, the cost function related to probability density function of target position is determined, and the multi-vehicle against one target cooperative guidance method is proposed based on receding horizon optimization. Finally, simulation results show the validity of the proposed cooperative guidance approach.

Cooperative Guidance Considering Detection Configuration Against Target With a Decoy

“…On comparing the performance of optimal guidance law based on HPI and predictive guidance law, the results show that the former offers better performance and stronger adaptability for the purpose of intercepting multiple targets. While designing a manyto-many cooperative guidance law, [21] also used this idea to select a new performance index and verified the feasibility of this method through simulations.…”