Model Predictive Controller Design for Ship Dynamic Positioning System Based on State-space Equations
Model predictive control (MPC) algorithm based on state-space equations was applied to ship dynamic positioning control system. A state estimator was designed to solve the problem that not all the states used can be measured to improve the control accuracy of the system. Through simulation in MATLAB®, this paper analyzed and compared the model predictive controller with or without constraints and the state estimator. Simulation results on a supply ship verify the effectiveness of this proposed model predictive control algorithm based on state-space equations and show that the MPC controller with the state estimator can improve the control effect of dynamic positioning system of ships.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09484280
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Supplemental Notes:
- Copyright © 2017, JASNOE.
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Authors:
- Li, Wenhua
- Sun, Yuqing
- Chen, Haiquan
- Wang, Gang
- Publication Date: 2017-9
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 426-431
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Serial:
- Journal of Marine Science and Technology
- Volume: 22
- Issue Number: 3
- Publisher: Springer Japan
- ISSN: 0948-4280
- EISSN: 1437-8213
- Serial URL: http://link.springer.com/journal/773
Subject/Index Terms
- TRT Terms: Algorithms; Dynamic positioning; Ships; Simulation; Steady state; Vessel operations
- Identifier Terms: MATLAB (Computer program)
- Uncontrolled Terms: Model predictive control
- Subject Areas: Marine Transportation; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01644878
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 10 2017 9:53AM