Nonlinear cloud model control for ship steering based on genetic algorithms

Nonlinear cloud model control for ship steering based on genetic algorithms

A cloud model controller for ship steering is developed with nonlinear behavior and uncertain problems of ship motion. The fast Elitist non-dominating sorting genetic algorithm II (NSGA-II) is employed to optimize the parameters of the controller. Analysis and simulation results show the design of t...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Daoqi Xing, Liangxin Zhang, Xiaolin Wang, Rengang Ma
Format: Tagungsbericht
Sprache:eng
Schlagworte:
cloud model
Generators
Genetic algorithms
Marine vehicles
Mathematical model
nonlinear
NSGA-II
Pragmatics
ship course control
Simulation
Tuning
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Beschreibung
Zusammenfassung:A cloud model controller for ship steering is developed with nonlinear behavior and uncertain problems of ship motion. The fast Elitist non-dominating sorting genetic algorithm II (NSGA-II) is employed to optimize the parameters of the controller. Analysis and simulation results show the design of the cloud model controller based on multi-objective optimization of genetic algorithm is effective and the controller has good control performance and strong robustness.
DOI:10.1109/CECNET.2011.5768901