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Genetic algorithm optimization based nonlinear ship maneuvering control
K. L. Vasudev,
Published in Elsevier Ltd
2018
Volume: 74
   
Pages: 142 - 153
Abstract
A procedure to automatically maneuver surface ships on a given target path has been outlined in this paper. The ship maneuvering model is nonlinear. The procedure hinges on a Target Path Iteration (TPI) controller integrated with genetic algorithm (GA). GA is used to obtain the optimum command rudder angle and length of target trajectory in a particular simulation time step with the objective to minimize the mean squared error of the actual path taken by the ship vis-à-vis the target trajectory. The proposed control algorithm has been implemented on a variety of straight line and curved trajectories and the results show that the method used is accurate and robust. © 2018 Elsevier Ltd
About the journal
JournalData powered by TypesetApplied Ocean Research
PublisherData powered by TypesetElsevier Ltd
Open AccessNo
Concepts (18)
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    Iterative methods
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    Mean square error
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    Optimization
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    Ships
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    Trajectories
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    CONTROLLER-INTEGRATED
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    GENETIC-ALGORITHM OPTIMIZATIONS
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    Maneuvering
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    Mean squared error
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    Non linear control
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    SHIP MANEUVERING
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    SIMULATION TIME
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    TARGET TRAJECTORY
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    Genetic algorithms
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    Computer simulation
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    Genetic algorithm
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    Nonlinearity
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    SHIP TECHNOLOGY