Design ride control system using two stern flaps based 3 DOF motion modeling for wave piercing catamarans with beam seas

A ride control system (RCS) based linear quadratic regulator (LQR) and genetic algorithm (GA) design is presented, to reduce the heave, roll and pitch motion (three degrees of freedom motion (3 DOF motion)) of the wave piercing catamarans (WPC) in beam waves. A detailed 3 DOF ride control model whic...

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Bibliographic Details
Published in:PloS one 2019-03, Vol.14 (3), p.e0214400-e0214400
Main Authors: Liang, Lihua, Yuan, Jia, Zhang, Songtao, Shi, Hongyu, Liu, Yanwen, Zhao, Peng
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Automation
Catamarans
Computer and Information Sciences
Computer Simulation
Control systems
Control systems design
Control theory
Controllers
Decoupling
Degrees of freedom
Degrees of freedom (Mechanics)
Design
Engineering and Technology
Feasibility studies
Flapping
Flaps (control surfaces)
Genetic algorithms
High speed
Humans
Hydrodynamic coefficients
Linear quadratic regulator
Models, Theoretical
Motion
Motion sickness
Ocean engineering
Oceans
Oceans and Seas
Optimization theory
Passenger comfort
Physical Sciences
Pitch (inclination)
Researchers
Rolling motion
Ships
Ships - instrumentation
Wave-piercing hulls
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Summary:A ride control system (RCS) based linear quadratic regulator (LQR) and genetic algorithm (GA) design is presented, to reduce the heave, roll and pitch motion (three degrees of freedom motion (3 DOF motion)) of the wave piercing catamarans (WPC) in beam waves. A detailed 3 DOF ride control model which consists of the coupling and decoupling relationships between longitudinal and transverse motion is proposed for the WPC vessel. And the complex hydrodynamic coefficients and disturbances induced by beam waves are analyzed. Moreover, two stern flaps are designed for the system in the way of alternate flapping. In the controller design, the LQR method based on GA method is adopted to reduce the 3 DOF motion of the ship. Depending on the robust search mechanism and global optimum of GA, weighting parameters can be obtained to calculate the desired gain. Finally, the motion reduction and motion sickness incidence (MSI) results demonstrate the feasibility and effectiveness of the proposed controller, and the comfort of passengers and crews can also be improved.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0214400