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Research on Thrust Allocation Optimization with Main Propeller-rudder Based on Improved Genetic Algorithm

机译:基于改进遗传算法的主螺旋桨推力分配优化研究

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In order to solve the problem of thrust allocation of main propeller-rudder of engineering ship, a new thrust allocation method based on improved genetic algorithm is proposed in this paper. This paper presents a method to deal with the non-convex thrust region of main propeller-rudder, which is divided into several non-convex regions. The fuel consumption and the wear of propeller are fully considered when establishing the objective function. In order to overcome the shortcomings of genetic algorithm(GA) such as large amount of computation, premature and strong randomness, an improved genetic algorithm is proposed in this paper. In this paper, the optimal solution obtained from the last sampling time will be inherited to the next sampling time. This method can effectively solve the problem of fluctuation of the results of genetic algorithm in continuous time. Finally, through simulation experiments, it is concluded that the combined thrust model and improved genetic algorithm of rudder and propeller has less computation and strong robustness, which can solve the problem of thrust allocation well, and have good application prospects in engineering ships with main propeller-rudder.
机译:为了解决工程船主螺旋桨推力分配问题,提出了一种基于改进遗传算法的推力分配新方法。本文提出了一种主螺旋桨非凸推力区域的处理方法,该方法将主螺旋桨的非凸推力区域划分为多个非凸区域。建立目标函数时,应充分考虑燃油消耗和螺旋桨的磨损。为了克服遗传算法(GA)计算量大,过早和随机性强的缺点,提出了一种改进的遗传算法。在本文中,将从上次采样时间获得的最优解将继承到下一个采样时间。该方法可以有效解决遗传算法结果连续时间波动的问题。最后,通过仿真实验得出结论,舵和螺旋桨组合推力模型和改进的遗传算法计算量小,鲁棒性强,可以很好地解决推力分配问题,在主桨工程船上具有良好的应用前景。 -舵。

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