首页> 外文会议>2014 Second World Conference on Complex Systems >Design and simulation of Adaptive Neuro Fuzzy Inference System (ANFIS) controller for a robot manipulator
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Design and simulation of Adaptive Neuro Fuzzy Inference System (ANFIS) controller for a robot manipulator

机译:机器人机械手的自适应神经模糊推理系统(ANFIS)控制器的设计与仿真。

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Research on the dynamic modeling and control of the arms manipulators has received increased attention since the last years due to their advantages. In this present work we present a new approach for a robot manipulator with two degrees of freedom based on the Adaptive Neuro-Fuzzy Inference System (ANFIS) controller to ensure the position robot control strategy, the proposed control scheme is based on the dynamic model derived using Lagrange-Euler formulation. Our robot manipulator ANFIS system control's simulated in Matlab Simulink environment; the results obtained present the efficiency and the robustness of the proposed control with good performances compared with and the FIS method.
机译:近年来,由于其优势,对手臂机械手的动态建模和控制的研究受到了越来越多的关注。在本工作中,我们提出了一种基于自适应神经模糊推理系统(ANFIS)控制器的具有两个自由度的机器人操纵器的新方法,以确保位置机器人的控制策略,所提出的控制方案基于动态模型得出使用Lagrange-Euler公式。我们的机器人操纵器ANFIS系统控件在Matlab Simulink环境中进行了仿真;与FIS方法相比,所获得的结果显示了所提出控制的效率和鲁棒性,并具有良好的性能。

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