滑模神经网络机器人控制器

R. Šafarič, K. Jezernik, M. Rodic, A. Sabanoviç, S. Uran
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引用次数: 6

摘要

本文介绍了基于滑模控制器理论的轨迹跟踪神经网络控制器的理论发展。在直接驱动的2-DOF SCARA机构模型上验证了神经网络控制器的推导方程。将该神经网络控制器与基于计算转矩法的神经网络控制器进行了比较。最后将基于计算转矩法的神经网络控制器和滑模神经网络控制器分别应用于感应电机驱动的实际单轴直驱机器人上,并在实际2-DOF SCARA机器人机构上进行了应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sliding-mode neural network robot controller
The theoretical development of a trajectory tracking neural network controller based on the theory of sliding-mode controllers is shown in the paper. Derived equations of the neural network controller were verified on a direct drive 2-DOF SCARA mechanism model. The new neural network controller was compared with a neural network controller based on the computed torque method. At last we made an application on a real 2-DOF SCARA robot mechanism by the neural network controller based on the computed torque method and a sliding-mode neural network controller on a real single axis direct drive robotic manipulator driven by an induction motor.
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