Nonlinear-Observer-Based Design Approach for Adaptive Event-Driven Tracking of Uncertain Underactuated Underwater Vehiclesopen access
- Authors
- Kim, Jin Hoe; Yoo, Sung Jin
- Issue Date
- May-2021
- Publisher
- MDPI
- Keywords
- adaptive neural network observer; event-driven three-dimensional tracking; output-feedback; guaranteed performance; underactuated underwater vehicles (UUVs)
- Citation
- MATHEMATICS, v.9, no.10
- Journal Title
- MATHEMATICS
- Volume
- 9
- Number
- 10
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/47756
- DOI
- 10.3390/math9101144
- ISSN
- 2227-7390
2227-7390
- Abstract
- A nonlinear-observer-based design methodology is proposed for an adaptive event-driven output-feedback tracking problem with guaranteed performance of uncertain underactuated underwater vehicles (UUVs) in six-degrees-of-freedom (6-DOF). A nonlinear observer using adaptive neural networks is presented to estimate the velocity information in the presence of unknown nonlinearities in the dynamics of 6-DOF UUVs where a state transformation approach using a time-varying scaling factor is introduced. Then, an output-feedback tracker using a nonlinear error function and estimated states is recursively designed to overcome the underactuated problem of the system dynamics and to guarantee preselected control performance in three-dimensional space. It is shown that the tracking error of the nonlinear-observer-based output-feedback control system exponentially converges a small neighbourhood around the zero. Efficiency of the resulting output-feedback strategy is verified through a simulation.
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