Paper
7 September 2023 Research on dynamic positioning PID controller of rake suction dredger based on improved particle swarm optimization algorithm
Lun Jiao, Meng Hong Yu, Meng Hou
Author Affiliations +
Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127903Q (2023) https://doi.org/10.1117/12.2689552
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China
Abstract
In order to improve the dynamic positioning control performance of the trailing suction dredger. In this paper, an improved particle swarm optimization PID control method is proposed for the dredging process of offshore operations. And the upper computer monitoring technology has been introduced to visually display the status of the suction dredger during offshore dredging. This paper designs the dynamic positioning controller based on the improved particle swarm optimization PID algorithm, and uses Labview to design the monitoring interface of the upper computer, which intuitively shows the reliability of Dynamic positioning.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lun Jiao, Meng Hong Yu, and Meng Hou "Research on dynamic positioning PID controller of rake suction dredger based on improved particle swarm optimization algorithm", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127903Q (7 September 2023); https://doi.org/10.1117/12.2689552
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KEYWORDS
Particle swarm optimization

Human-machine interfaces

LabVIEW

MATLAB

Device simulation

Computer simulations

Data processing

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