Nonlinear Cooperative Salvo Guidance with Seeker-Limited Interceptors
Gopikannan, Lohitvel, Kumar, Shashi Ranjan, Sinha, Abhinav
–arXiv.org Artificial Intelligence
Abstract--This paper presents a cooperative guidance strategy for the simultaneous interception of a constant-velocity, non-maneuvering target, addressing the realistic scenario where only a subset of interceptors are equipped with onboard seekers. T o overcome the resulting heterogeneity in target observability, a fixed-time distributed observer is employed, enabling seeker-less interceptors to estimate the target state using information from seeker-equipped agents and local neighbors over a directed communication topology. Departing from conventional strategies that approximate time-to-go via linearization or small-angle assumptions, the proposed approach leverages deviated pursuit guidance where the time-to-go expression is exact for such a target. Moreover, a higher-order sliding mode consensus protocol is utilized to establish time-to-go consensus within a finite time. The effectiveness of the proposed guidance and estimation architecture is demonstrated through simulations.
arXiv.org Artificial Intelligence
Sep-19-2025
- Country:
- Asia > India
- Maharashtra > Mumbai (0.04)
- North America > United States
- Ohio > Hamilton County > Cincinnati (0.04)
- Asia > India
- Genre:
- Research Report (0.40)
- Technology: