A new guidance law for trajectory tracking of an underactuated unmanned surface vehicle with parameter perturbations
This paper proposes a novel trajectory tracking controller for an underactuated unmanned surface vessel (USV) with multiple uncertainties and input constraints. Unlike previous dynamic surface control (DSC) methods that utilize a first-order filter to obtain derivatives and avoid “explosion of complexity”, the authors introduce nonlinear tracking differentiators (NTDs) that achieve satisfactory differential performance and fast tracking response and control the vessel to converge to the pseudo-yaw angle and surge. First, a new guidance law for yaw angle and surge is constructed. Second, inner and outer disturbances caused by uncertainties can be observed by reduced-order extended state observers. With the new guidance law, the design process of the controller is simplified and easy to implement. The simulation results show the trajectory tracking error can be stabilized to a certain extent under the parameter perturbations and other uncertainties, which verified the effectiveness of the proposed algorithm.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00298018
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Supplemental Notes:
- © 2019 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Huang, Haibin
- Gong, Mian
- Zhuang, Yufei
- Sharma, Sanjay
- Xu, Dianguo
- Publication Date: 2019-3-1
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References;
- Pagination: pp 217-222
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Serial:
- Ocean Engineering
- Volume: 175
- Issue Number: 0
- Publisher: Pergamon
- ISSN: 0029-8018
- EISSN: 1873-5258
- Serial URL: http://www.sciencedirect.com/science/journal/00298018
Subject/Index Terms
- TRT Terms: Control systems; Robotics; Trajectory control
- Uncontrolled Terms: Unmanned surface vehicles
- Subject Areas: Marine Transportation; Vehicles and Equipment;
Filing Info
- Accession Number: 01699352
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 22 2019 4:15PM