Capturability-Guaranteed Impact Angle Control Guidance Law Against Maneuvering Targets With Field-of-View Limit

Ruihao Cao, Raziye Tekin, Shaoming He*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a guidance strategy for intercepting maneuvering targets with a specified impact angle, considering the seeker's field-of-view limitations and nonlinear engagement kinematics. By introducing a relative reference frame attached to the maneuvering target, the nonlinear kinematics are reformulated within the range domain. The proposed guidance law is analytically derived from a relative lead angle shaping profile, which is constructed by combining the arc-tangent and polynomial functions. Leveraging this unique combination, the method offers notable practical advantages over existing FOV-constrained IACG laws. The coefficients of this guidance law are explicitly determined based on boundary conditions and desired terminal constraints, eliminating the need for manual trial-and-error or numerical iteration methods. Additionally, we demonstrate that the acceleration command generated by the proposed guidance law is inherently bounded by the target's maneuvering capability at the time of impact. Furthermore, the paper investigates the explicit achievable set of impact angles under the field-of-view constraint, providing a framework for designers to rationally select the terminal impact angle during practical implementation. The analytical results are corroborated through extensive numerical simulations.

Original languageEnglish
JournalIEEE Transactions on Aerospace and Electronic Systems
DOIs
Publication statusAccepted/In press - 2025
Externally publishedYes

Keywords

  • Capturability-guaranteed
  • field-of-view limit
  • guidance law
  • impact-angle control
  • maneuvering target

Fingerprint

Dive into the research topics of 'Capturability-Guaranteed Impact Angle Control Guidance Law Against Maneuvering Targets With Field-of-View Limit'. Together they form a unique fingerprint.

Cite this