Trajectory tracking control of Autonomous Marine Vessel using Neuro-Adaptive Sliding Mode Contro
This research paper presents the design of a control technique based on the combination of Linear Algebra (LABC) with Neuro Adaptive Sliding Mode Control (NN-SMC) applied to the control of a marine vessel. Where the linear Algebra technique controls the kinematics of the Vessel and the NN-SMC contro...
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| Veröffentlicht in: | Revista IEEE América Latina 2021-05, Vol.19 (5), p.763-771 |
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| creator | Rossomando, Francisco Serrano, Emanuel Scaglia, Gustavo |
| description | This research paper presents the design of a control technique based on the combination of Linear Algebra (LABC) with Neuro Adaptive Sliding Mode Control (NN-SMC) applied to the control of a marine vessel. Where the linear Algebra technique controls the kinematics of the Vessel and the NN-SMC controls its dynamics. Where the adaptive capacity of the neural networks learns the vessel dynamics, including the non modeled dynamics. The simulation results show satisfactory results especially when disturbances are acting on its dynamics. Finally, the convergence of the proposed technique was demonstrated using Lyapunovs theory. |
| doi_str_mv | 10.1109/TLA.2021.9448310 |
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Where the linear Algebra technique controls the kinematics of the Vessel and the NN-SMC controls its dynamics. Where the adaptive capacity of the neural networks learns the vessel dynamics, including the non modeled dynamics. The simulation results show satisfactory results especially when disturbances are acting on its dynamics. 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| subjects | Adaptation models Adaptive control Artificial Neural Networks Backstepping Dynamics IEEE transactions Kinematics Linear algebra marine vessel Neural networks Robots Scientific papers Sea vessels Sliding mode control Tracking control Trajectory control Trajectory tracking |
| title | Trajectory tracking control of Autonomous Marine Vessel using Neuro-Adaptive Sliding Mode Contro |
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