Engagement-Zone-Aware Input-Constrained Guidance for Safe Target Interception in Contested Environments
Organizations: Unmanned Systems Lab, Department of Electrical Engineering, The University of Texas at San Antonio, San Antonio, TX, 78249 · Guidance, Autonomy, Learning, and Control for Intelligent Systems (GALACxIS) Lab, Department of Aerospace Engineering and Engineering Mechanics, University of Cincinnati, OH 45221, USA
Abstract
We address target interception in contested environments in the presence of multiple defenders whose interception capability is limited by finite ranges. Conventional methods typically impose conservative stand-off constraints based on maximum engagement distance and neglect the interceptors' actuator limitations. Instead, we formulate safety constraints using defender-induced engagement zones. To account for actuator limits, the vehicle model is augmented with input saturation dynamics. A time-varying safe-set tightening parameter is introduced to compensate for transient constraint violations induced by actuator dynamics. To ensure scalable safety enforcement in multi-defender scenarios, a smooth aggregate safety function is constructed using a log-sum-exp operator combining individual threat measures associated with each defender's capability. A smooth switching guidance strategy is then developed to coordinate interception and safety objectives. The attacker pursues the target when sufficiently distant from threat boundaries and progressively activates evasive motion as the EZ boundaries are approached. The resulting controller relies only on relative measurements and does not require knowledge of defender control inputs, thus facilitating a fully distributed and scalable implementation. Rigorous analysis provides sufficient conditions guaranteeing target interception, practical safety with respect to all defender engagement zones, and satisfaction of actuator bounds. An input-constrained guidance law based on conservative stand-off distance is also developed to quantify the conservatism of maximum-range-based safety formulations. Simulations with stationary and maneuvering defenders demonstrate that the proposed formulation yields shorter interception paths and reduced interception time compared with conventional methods while maintaining safety throughout the engagement.
Figures & tables
| Region | Mode | Condition on | Guidance Law | Interpretation |
|---|---|---|---|---|
| I | Pure target interception | The attacker is sufficiently far from all engagement zones; the guidance law focuses entirely on target interception. | ||
| II | Pure EZ avoidance | The attacker is near an engagement boundary; the safety component is fully activated to prevent entry into the engagement zone. | ||
| III | Blended mode | Both interception and safety terms contribute to the commanded acceleration. This region represents the transition between interception and safety dominance, where varies continuously due to its locally Lipschitz and nonincreasing properties. |
| Simulation Scenario | Proposed Method | Conservative safety constraint | Noramlized Savings ( ) |
|---|---|---|---|
| Static defenders ( ) | 15.52 s | 15.97 s | 2.82 |
| Moving defenders ( ) | 18.91 s | 22.08 s | 14.36 |
| Moving defenders ( ) | 21.42 s | 26.82 s | 20.13 |