<p>During the homing process, the field-of-view (FOV) constraint is critical for maintaining target lock-on. Unlike conventional field-of-view (CFOV) constraint, which is modeled as inequality constraints with constant upper and lower bounds, this paper introduces a more realistic generalized field-of-view (GFOV) constraint, where the constraint boundaries vary dynamically with time and state variables. To the best of the authors’ knowledge, such a GFOV constraint has not been previously considered in guidance law design. To address this problem, this paper proposes an augmented guidance law that extends existing advanced guidance laws to satisfy the additional GFOV constraint. The core idea is to augment existing advanced guidance laws with additional biased terms. A specific structure of the biased terms is designed so that these biased terms are activated only when the lead angle approaches the constraint boundary. This ensures that the desirable properties of the original advanced guidance law, such as impact angle control or impact time control, are preserved in the proposed guidance law. Theoretical analysis confirms that the proposed guidance law not only guarantees satisfaction of the GFOV, but also exhibits strong robustness against external disturbances and autopilot delays. Additionally, the proposed guidance law generates smooth control commands without abrupt changes and features a simple structure, making it well-suited for practical implementations. Two special cases of the GFOV constraint are presented as illustrative examples. Finally, numerical simulations and comparative studies in both two-dimensional and three-dimensional scenarios are conducted to demonstrate the effectiveness and the superiority of the proposed guidance law.</p>

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An Augmented Homing Guidance Law with Generalized Field-of-View Constraint

  • Chuangxin Wang,
  • Ziteng Geng,
  • Zheng Chen

摘要

During the homing process, the field-of-view (FOV) constraint is critical for maintaining target lock-on. Unlike conventional field-of-view (CFOV) constraint, which is modeled as inequality constraints with constant upper and lower bounds, this paper introduces a more realistic generalized field-of-view (GFOV) constraint, where the constraint boundaries vary dynamically with time and state variables. To the best of the authors’ knowledge, such a GFOV constraint has not been previously considered in guidance law design. To address this problem, this paper proposes an augmented guidance law that extends existing advanced guidance laws to satisfy the additional GFOV constraint. The core idea is to augment existing advanced guidance laws with additional biased terms. A specific structure of the biased terms is designed so that these biased terms are activated only when the lead angle approaches the constraint boundary. This ensures that the desirable properties of the original advanced guidance law, such as impact angle control or impact time control, are preserved in the proposed guidance law. Theoretical analysis confirms that the proposed guidance law not only guarantees satisfaction of the GFOV, but also exhibits strong robustness against external disturbances and autopilot delays. Additionally, the proposed guidance law generates smooth control commands without abrupt changes and features a simple structure, making it well-suited for practical implementations. Two special cases of the GFOV constraint are presented as illustrative examples. Finally, numerical simulations and comparative studies in both two-dimensional and three-dimensional scenarios are conducted to demonstrate the effectiveness and the superiority of the proposed guidance law.