Nonlinear model predictive control for sinusoidal gait tracking for an underwater snake robot
Orucevic, Amer; Foseid, Eirik Lothe; Lysø, Mads Erlend Bøe; Pettersen, Kristin Ytterstad; Gravdahl, Jan Tommy
Journal article, Peer reviewed
Published version
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https://hdl.handle.net/11250/3173068Utgivelsesdato
2024Metadata
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Sammendrag
Energy efficiency is crucial for the operational time and reach of autonomous underwater vehicles (AUVs). A new class of AUVs, underwater snake robots (USRs), has an articulated body that may be utilized to enhance propulsion efficiency and achieve energy autonomy. This paper applies nonlinear model predictive control (NMPC) to achieve sinusoidal gait tracking for underwater snake robots (USRs). We present a comprehensive simulation study that incorporates high-fidelity modeling of fluid-structure interaction, which validates the control design. Additionally, we showcase the potential for significant energy savings by fine-tuning the cost function, leading to reduced actuator power consumption.