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Ship Dynamic Positioning Control Research Using the Improved SAM Based on ACA

机译:使用基于ACA的改进的SAM运输动态定位控制研究

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In fuzzy system, the selection of fuzzy rules is difficult. For the whole system, the merits of the rules seriously influence the final result. This paper uses the ant colony algorithm (ACA) to optimize the weights of the rules in the standard additive fuzzy system. At present, the ship dynamic positioning system has caused wide public concern. In the paper, a ship dynamic positioning controller based on the ACA and the standard additive model is proposed. Through the new controller is applied to control the dynamic positioning ship in the complex sea conditions, the results show that the proposed controller is effective.
机译:在模糊系统中,难以选择模糊规则。对于整个系统,规则的优点严重影响了最终结果。本文使用蚁群算法(ACA)来优化标准添加剂模糊系统中规则的权重。目前,船舶动态定位系统引起了广泛的公众关注。本文提出了一种基于ACA和标准添加剂模型的船舶动态定位控制器。通过新的控制器应用于控制复杂的海洋状况中的动态定位船,结果表明所提出的控制器是有效的。

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