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.

• Record URL:
  https://doi.org/10.1007/s00773-016-0425-7
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09484280
• Supplemental Notes:
  • Copyright © 2017, JASNOE.
• 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
• 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