基于Takagi & Sugeno模型设计的模糊滑模控制及其在仿真机械手中的应用

G. Chacon, J. Ruiz-del-Solar, D. Śaez
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引用次数: 2

摘要

提出了一种基于模糊参数自适应的仿真机械手滑模控制设计。模糊自适应采用Takagi & Sugeno模型来确定保证系统稳定性的参数值。使用这种控制策略,模拟机械手将以类似于人手的方式无振荡地移动。所提出的控制方法稳定,对外部干扰具有良好的抗扰性,并且不需要知道系统参数(机械手参数)。并对仿真机械手(5个手指,15个自由度)的仿真模拟器的动态特性进行了描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy Sliding Mode Control based on Takagi & Sugeno Model Design and its application to a Simulated Robot Hand
Sliding mode control design with fuzzy parameter adaptation for a simulated robot hand is presented. The fuzzy adaptation uses the Takagi & Sugeno model in order to determinate the parameter values which assure system stability. Using this control strategy, the simulated robot hand will be moved without oscillations, in a similar way as human hand. The proposed control method is stable, good behavior to external disturbances, and does not request to know the system parameters (robot hand parameters) exactly. Also, the paper describes the dynamic of the realistic simulator of the simulated robot hand (5 fingers, 15 degrees of freedom)
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