Dynamic Position Control for Unmanned Small Vehicle (Application for Vessel)

Ismah Ismail, Nurul Arfah Che Mustapha
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Abstract

Unmanned surface and the underwater vehicle in the marine industry have advanced since 1960s, in terms of delivery and technology but a bit left behind compared to the development of unmanned ground vehicles. The system for stability is vast for ground vehicles since it is less complex and becomes more common transports used by men. Therefore, many kinds of research have been explored in this area to improve water transportation due to many losses of benefits if the field is to be neglected. Therefore, this paper conducts and collects study on Dynamic Positioning (DP) control system for small vessels to gain and proposed the optimized solution based on the recent theories regarding the field area. By initially experimenting on computer simulation, the methodology is applied carefully, step by step before being implemented on the real USV planned for this study. In short, the Fuzzy control system is applied in conjunction with the Kalman filtering theory, which both have been proved efficient based on recent study and simulation on a model ship.
无人驾驶小型车辆动态位置控制(船舶申请)
自20世纪60年代以来,海洋工业中的无人水面和水下航行器在交付和技术方面取得了进步,但与无人地面航行器的发展相比,有些落后。稳定系统对于地面车辆来说是巨大的,因为它不那么复杂,并且成为人们使用的更常见的交通工具。因此,在这一领域进行了各种各样的研究,以改善水运,因为如果忽视这一领域,将会损失很多利益。因此,本文对小型船舶增益动态定位(DP)控制系统进行了研究和收集,并基于最新的场区理论提出了优化方案。首先在计算机模拟上进行试验,然后在为本研究计划的真实USV上实施之前,仔细地一步一步地应用该方法。简而言之,将模糊控制系统与卡尔曼滤波理论相结合,并通过对某船模型的研究和仿真证明了两者的有效性。
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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