This paper proposes a cooperative guidance method based on a three-dimensional coverage strategy for intercepting highly maneuverable targets using multiple interceptors with relatively low maneuvering capabilities. First, a three-dimensional cooperative nonlinear guidance model is established and decoupled into two mutually perpendicular two-dimensional planes. Based on biased proportional guidance with zero-effort-miss (ZEM), the three-dimensional single-interceptor interception domain is proven to satisfy the elliptical standard equation. Subsequently, the cooperative interception formation is constructed by adjusting the decoupling direction of each interceptor, and the single target’s maneuvering domain is cooperatively covered with multiple planar intercept domains by solving the bias terms to shift the interception domains of multiple interceptors in a coordinated manner. Finally, numerical simulations demonstrate the effectiveness of the proposed algorithm.

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Three-Dimensional Cooperative Guidance Strategy for Highly Maneuvering Target

  • Bingjie Liu,
  • Tao Song,
  • Hong Tao,
  • Xuwei Quan

摘要

This paper proposes a cooperative guidance method based on a three-dimensional coverage strategy for intercepting highly maneuverable targets using multiple interceptors with relatively low maneuvering capabilities. First, a three-dimensional cooperative nonlinear guidance model is established and decoupled into two mutually perpendicular two-dimensional planes. Based on biased proportional guidance with zero-effort-miss (ZEM), the three-dimensional single-interceptor interception domain is proven to satisfy the elliptical standard equation. Subsequently, the cooperative interception formation is constructed by adjusting the decoupling direction of each interceptor, and the single target’s maneuvering domain is cooperatively covered with multiple planar intercept domains by solving the bias terms to shift the interception domains of multiple interceptors in a coordinated manner. Finally, numerical simulations demonstrate the effectiveness of the proposed algorithm.