Sistem Kontrol pada Automated Guided Vehicle Beroda Mekanum menggunakan Sliding Mode Controller

M. Faiz, B. Sumantri, Bima Sena Bayu Dewantara
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引用次数: 0

Abstract

—The production in industry, are involving distribution to transport the goods. Recently, distribution activities are using unmanned vehicle, that is Automated Guided Vehicle (AGV). In real condition, AGV are facing environment with complexity of high uncertainity and unlinearity. Because of this, robust control method could be considered to be used to improve the control performance. For instance, Sliding Mode Control has good robustness to the uncertainity of the system and disturbances. However, the chattering phenomenon is one of the major issues of the sliding mode control. This phenomenon could damage the motor. This research aim to reduce chattering and improve the control performance, with modifying signum function to saturation function. This research are using ROS, V-Rep and microcontroller. Microcontroller for processing algorithm and another function. Moreover, saturation function had succcessfully reducing rise time about 30%, overshoot 16% and RMSE 0.21%.
基于滑模控制器的自动导引机械车辆系统控制
--在工业生产中,都涉及到分销运输的货物。最近,配送活动使用无人车,即自动导引车(AGV)。在实际情况下,AGV所面临的环境具有高度的不确定性和不相关性。因此,可以考虑使用鲁棒控制方法来提高控制性能。例如,滑模控制对系统的不确定性和扰动具有良好的鲁棒性。然而,抖振现象是滑模控制的主要问题之一。这种现象可能会损坏电机。本研究旨在通过将signum函数修改为饱和函数来减少抖振,提高控制性能。本研究使用ROS、V-Rep和微控制器。微控制器用于处理算法和其他功能。此外,饱和函数成功地将上升时间降低了约30%,超调量降低了16%,均方根误差降低了0.21%。
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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