Feedback Linearization-based Guidance Law for Guaranteed Interception

dc.contributor.authorDorsey, Alexander
dc.contributor.authorGoel, Ankit
dc.date.accessioned2025-10-22T19:58:20Z
dc.date.issued2025-09-09
dc.description.abstractThis paper presents an input-output feedback linearization (IOL)-based guidance law to ensure interception in a pursuer-evader engagement scenario. A point-mass dynamic model for both the pursuer and the evader is considered. An IOL guidance law is derived using range and line-of-sight (LOS) rate measurements. It is found that the range-based IOL guidance law exhibits a singularity under certain conditions. To address this issue, a fuzzy logic system is employed to smoothly blend the IOL guidance with the classical proportional guidance law, thereby avoiding the singularity. In contrast, the LOS-based IOL guidance law is free of singularities but suffers from divergence issues due to angle-related complications. To resolve this, a simple correction function is introduced to ensure consistent interception behavior. Results from Monte Carlo simulations indicate that both modifications of the IOL guidance laws cause interception with control limits applied.
dc.description.sponsorshipThis research was supported by the Office of Naval Research grant N00014-23-1-2468.
dc.description.urihttp://arxiv.org/abs/2509.07843
dc.format.extent11 pages
dc.genrejournal articles
dc.genrepreprints
dc.identifierdoi:10.13016/m2zrzh-eoe1
dc.identifier.urihttps://doi.org/10.48550/arXiv.2509.07843
dc.identifier.urihttp://hdl.handle.net/11603/40571
dc.language.isoen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Mechanical Engineering Department
dc.relation.ispartofUMBC Faculty Collection
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectElectrical Engineering and Systems Science - Systems and Control
dc.subjectComputer Science - Systems and Control
dc.subjectUMBC Estimation, Control, and Learning Laboratory (ECLL)
dc.titleFeedback Linearization-based Guidance Law for Guaranteed Interception
dc.typeText
dcterms.creatorhttps://orcid.org/0009-0004-1948-724X
dcterms.creatorhttps://orcid.org/0000-0002-4146-6275

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