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OPTIMIZING FUZZY CONTROLLER OF ENGINEERING SHIP WITH GENETIC ALGORITHM

机译:遗传算法优化工程船舶的模糊控制器

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摘要

Adjusting the length of anchor chain controls the course of engineering ship. It limits the moving scope of the ship and makes it not drift about wantonly. But while moving and mooring the ship, because wind, wave, flow and various kinds of random influence is difficult to be predicted, it is difficult to control of the course. So fuzzy controller is used to improve the performance of control in this thesis, and genetic algorithm is adopted to optimize the rule of fuzzy controller, which enables the controller to produce the better result in case of no priori knowledge. Finally, the mathematics model of the ship is set up and simulation is carried on to the system.
机译:调节锚链的长度可以控制工程船的航行路线。它限制了船的移动范围,并使其不会随心所欲地漂移。但是在移动和系泊船舶时,由于难以预测风,浪,流和各种随机影响,因此很难控制航向。因此本文采用模糊控制器来提高控制性能,并采用遗传算法对模糊控制器的规则进行优化,使得在没有先验知识的情况下,控制器能够产生更好的结果。最后,建立了船舶的数学模型,并对系统进行了仿真。

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