Using of soft computing techniques to control of underwater robot

J. Garus, B. Żak
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引用次数: 19

Abstract

Applying of artificial intelligence techniques to designing of an autopilot for path following control of an underwater robotic vehicle is considered in the paper. The way-point line of sight scheme is incorporated for the tracking of the reference path and four independent fuzzy controllers are used to generate command signals. Parameters of membership functions of input and output are tuned using genetic algorithms. Quality of control is concerned without and in presence of external disturbances. Some computer simulations are provided to demonstrate the effectiveness and robustness of the approach.
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利用软计算技术对水下机器人进行控制
研究了将人工智能技术应用于水下机器人路径跟踪控制自动驾驶仪的设计。采用路点瞄准线方案对参考路径进行跟踪,并采用4个独立模糊控制器生成指令信号。采用遗传算法对输入和输出的隶属函数参数进行了调整。控制质量是指在没有外部干扰或存在外部干扰的情况下。通过计算机仿真验证了该方法的有效性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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