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Genetic algorithm optimisation of a supply ship propulsion and navigation systems

机译:供应船舶推进系统的遗传算法优化

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Two different control configurations have been designed for the navigation and propulsion systems of CyberShip I, a scale model of an oil platform supply ship. The first configuration consists of two classical linear PID controllers (one for the navigation system and the other for the propulsion). In the second configuration, a nonlinear sliding mode controller provides the navigation control and a PI control regulates the propulsion. Both control methodologies have parameters that need to be tuned to improve their performance. These parameters have been optimised using genetic algorithms. The performance of these two control methods has been compared and their robustness has been evaluated through the simulation of environmental disturbances. This investigation has been carried out through computer-generated simulations based on a non-linear hydrodynamic model of CyberShip I.
机译:设计了两种不同的控制配置,用于导航和推进系统I,是石油平台供应船的规模模型。第一配置包括两个经典的线性PID控制器(一个用于导航系统,另一个用于推进)。在第二配置中,非线性滑模控制器提供导航控制,并且PI控制调节推进。两个控制方法都具有需要调整以提高其性能的参数。这些参数使用遗传算法进行了优化。已经比较了这两种控制方法的性能,并且通过对环境扰动的模拟来评估其鲁棒性。通过基于Conemerify I的非线性流体动力学模型,通过计算机生成的模拟进行了该研究。

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