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Global Asymptotic Tracking for Marine Vehicles Using Adaptive Hybrid Feedback

Erlend A. Basso, Henrik M. Schmidt-Didlaukies, Kristin Y. Pettersen, Asgeir J. Sørensen

2022IEEE Transactions on Automatic Control15 citationsDOIOpen Access PDF

Abstract

This article presents an adaptive hybrid feedback control law for global asymptotic tracking of a hybrid reference system for marine vehicles in the presence of parametric modeling errors. The reference system is constructed from a parameterized loop and a speed assignment specifying the motion along the path, which decouples the geometry of the path from the motion along the path. During flows, the hybrid feedback consists of a proportional-derivative action and an adaptive feedforward term, while a hysteretic switching mechanism that is independent of the vehicle velocities determines jumps. The effectiveness of the proposed control law is demonstrated through experiments.

Topics & Concepts

Control theory (sociology)Feed forwardParameterized complexityParametric statisticsPath (computing)Tracking (education)Adaptive controlTrajectoryComputer scienceTerm (time)Feedback loopFeedback controlControl engineeringMathematicsEngineeringControl (management)PhysicsAlgorithmArtificial intelligenceAstronomyPsychologyQuantum mechanicsComputer securityStatisticsProgramming languagePedagogyAdaptive Control of Nonlinear SystemsControl and Dynamics of Mobile RobotsVehicle Dynamics and Control Systems