Non-linear tanker control system parameter optimisation using genetic algorithms

E. McGookin, D. Murray-Smith, Yun Li, T. Fossen
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引用次数: 4

Abstract

The optimisation of a nonlinear control problem by genetic algorithm (GA) is studied in this paper. It involves the performance of a control system for course changing manoeuvres of an oil tanker. Sliding mode (SM) control theory is used to define the structure of this controller and the GA is used to optimise key control parameters so that satisfactory performance is obtained.
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基于遗传算法的非线性油轮控制系统参数优化
本文研究了一类非线性控制问题的遗传算法优化问题。它涉及到油船航向改变操纵控制系统的性能。利用滑模控制理论定义了该控制器的结构,并利用遗传算法对关键控制参数进行优化,使其获得满意的控制性能。
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