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Fuzzy autopilot for ship maneuvering

机译:船舶操纵的模糊自动驾驶仪

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摘要

A fuzzy autopilot algorithm for maneuvering of surface ships is proposed and its performance studied. A mathematical model for nonlinear maneuvering of cargo ships has been used in conjunction with the proposed fuzzy autopilot. The autopilot works with two error measures that are inputs, error in heading angle and the offset error from the desired path, and has the command rudder angle as the output. Input variable fuzzification, fuzzy associative memory rules and output set defuzzification schemes using Mamdani minimum inference method are described. The proposed control scheme has been verified for a variety of straight line and curved trajectories using a nonlinear maneuvering model of Mariner class vessel.
机译:提出了一种用于水面舰艇操纵的模糊自动驾驶算法,并对其性能进行了研究。结合所提出的模糊自动驾驶仪,使用了用于货船非线性操纵的数学模型。自动驾驶仪具有两个误差测量值,即输入误差,航向角误差和相对于所需路径的偏移误差,并且具有指令舵角作为输出。描述了使用Mamdani最小推理方法的输入变量模糊化,模糊联想记忆规则和输出集模糊化方案。拟议的控制方案已通过使用水手级舰船的非线性操纵模型对各种直线和曲线轨迹进行了验证。

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