Cooperative guidance for simultaneous attack: a fully distributed, adaptive, and optimal approach

Abstract

This paper provides a fully distributed, adaptive, and optimal approach to address the problem of simultaneous attack against a maneuvering target with multiple missiles. For the case that the target acceleration is bounded, the relative distances and velocities between missiles and target are used as consensus variables. The communication graph and missile-target dynamics are decoupled by using neighborhood information and adaptive coupling gain coefficients. Without knowing the global information, the simultaneous hitting of the maneuvering target can be achieved by the designed fully distributed adaptive guidance law. On that basis, a cooperative guidance law with optimal performance is designed, which achieves simultaneous attack and ensures minimum attack error with minimum control and communication cost. The fully distributed adaptive and optimal cooperative guidance law can be combined to apply to a variety of attack scenarios. Numerical examples are provided to validate the effectiveness of the proposed control methods.