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

Model predictive controller design for ship dynamic positioning system based on state-space... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Marine Science and Technology Springer Journals

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

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Publisher
Springer Japan
Copyright
Copyright © 2016 by JASNAOE
Subject
Engineering; Automotive Engineering; Engineering Fluid Dynamics; Engineering Design; Offshore Engineering; Mechanical Engineering
ISSN
0948-4280
eISSN
1437-8213
D.O.I.
10.1007/s00773-016-0425-7
Publisher site
See Article on Publisher Site

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