机械臂PID控制器与自适应神经模糊控制器的比较

R. Gupta, S. Chauhan
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引用次数: 8

摘要

本文主要研究机器人机械手的控制问题。采用自适应神经模糊控制方法对三自由度机械臂的位置和轨迹跟踪进行控制。该技术还可以处理比例积分微分(PID)控制器相关系统的整定和不确定性等问题。它具有学习与每个环节相关的多过程的能力,并产生准确和欲望的控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparision of PID controller & adaptive neuro fuzzy controller for robot manipulator
This paper has been proposed to deal with controlling of robot manipulator. It utilizes method of Adaptive Neuro Fuzzy controlling to control position and trajectory tracking of robotic arm with three degree of freedom. This technique also handles the problems like tuning and uncertainties of system associated with proportional integral differential (PID) controller. It has ability to learn the multi processes related to the each of the links and produces accurate and desire controlling.
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