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Genetic Algorithm’s Application for Optimization of PID Parameters in Dynamic Positioning Vessel

ye Liu gai, Yuan-bin Hou, yan Luo and 1 more

MATEC Web of Conferences · 2017

doi:10.1051/matecconf/201713900153 (opens in a new tab)

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Abstract

Genetic algorithm as intelligent optimization, There are important applications in many field, The genetic algorithm is applied to the tuning of PID parameters in the dynamic positioning of ship, First, In this paper, a model of three degree of freedom model of ship motion and the ocean environment disturbance model of wind, wave and current are established, Secondly, PID control in dynamic positioning system is, Difficulties in debugging PID parameters, This paper focuses on the use of genetic algorithm to optimize the PID parameters, To achieve the purpose of optimizing the PID, Last, The optimization algorithm is simulated, Through the analysis of simulation results, Come to conclusion, In ship dynamic positioning, When using PID controller, The genetic algorithm can be used to find the optimized PID parameter group.

Abstract licence: CC BY

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