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Journal of Marine Science and Technology

, Volume 22, Issue 3, pp 426–431 | Cite as

Model predictive controller design for ship dynamic positioning system based on state-space equations

  • Wenhua Li
  • Yuqing Sun
  • Haiquan Chen
  • Gang Wang
Original article

Abstract

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.

Keywords

Ship Dynamic positioning system Model predictive control algorithm State-space equations The state estimator 

Notes

Acknowledgements

This work was supported by the Fundamental Research Funds for the Central Universities (3132014332, 3132015025) and Natural Science Foundation of Liaoning Province (2015020132).

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Copyright information

© JASNAOE 2016

Authors and Affiliations

  • Wenhua Li
    • 1
  • Yuqing Sun
    • 1
  • Haiquan Chen
    • 1
  • Gang Wang
    • 1
  1. 1.Department of Marine EngineeringDalian Maritime UniversityDalianChina

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