Application study of robotic control system based on force information

Xiujun Wang, Y. Ge, B. Xiao, Yong Yu
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引用次数: 1

Abstract

Considering the deficiency of present robotic force control algorithm, we introduce artificial intelligent method in this paper. We attempt to combine fuzzy control theory with impedance control strategy, and attempt to control the external force on the robotic end-effector by this quomodo. The structure of the system is presented and the force controller is designed. Finally we show the results based on the practical experiments. It is a more effective strategy to solve the robotic force control problem.
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基于力信息的机器人控制系统应用研究
针对现有机器人力控制算法的不足,本文引入了人工智能控制方法。我们尝试将模糊控制理论与阻抗控制策略相结合,并尝试通过该方法来控制机器人末端执行器的外力。给出了系统的总体结构,设计了力控制器。最后给出了基于实际实验的结果。这是解决机器人力控制问题的一种更为有效的策略。
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