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Ship Dynamic Positioning Based on Nonlinear Model Predictive Control

Abstract

The presented work explores the simulation test results of using nonlinear model predictive control algorithm for ship dynamic positioning. In the optimization task, a goal function with a penalty was proposed with a variable prediction step. The results of the proposed control algorithm were compared with backstepping and PID. The effect of estimation accuracy on the control quality with the implemented algorithms was investigated. The proposed version of the MPC-NO controller was shown to have better dynamic and static properties. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Details

Category:
Monographic publication
Type:
rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Language:
English
Publication year:
2023
Bibliographic description:
Jaroś K., Śmierzchalski R., Witkowska A.: Ship Dynamic Positioning Based on Nonlinear Model Predictive Control// Advanced, Contemporary Control.XXI Polish Control Conference. Vol.2/ : Springer, 2023, s.350-359
DOI:
Digital Object Identifier (open in new tab) 10.1007/978-3-031-35173-0_33
Sources of funding:
  • Statutory activity/subsidy
Verified by:
Gdańsk University of Technology

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