A constrained cooperative guidance algorithm based on gray wolf optimization against highly maneuvering target

Abstract

This paper investigates the problem of cooperative guidance of two pursuers against an evader equipped with higher maneuverability. The goal is that the distance between the Evader and at least one of the pursuers becomes less than a predetermined threshold at the end of flight time. To achieve this goal, firstly, the roles of pursuers are divided into two units, which include (1) pursuing the Evader and (2) Observing the Evader’s escape space. Secondly, a new cooperative guidance algorithm based on the separation of roles of the pursuers is proposed and formulated into a constrained nonlinear model predictive control problem. An objective function with time-variant weighting factors is presented to evaluate the constrained guidance commands. The proposed guidance algorithm uses a gray wolf-based optimization algorithm to calculate the guidance commands.