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Combined fuzzy logic and sliding mode approach's for modelling and control of the two link robot

机译:组合模糊逻辑和滑模方法,用于两个链接机器人的建模与控制

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In this paper, we present a combined fuzzy logic and sliding mode to design a robust controller for the two links robot without chattering problems. This combination can reduce chattering, because the upper bound of uncertainties becomes smaller when fuzzy logic are used to model unknown nonlinear systems. The proposed strategy uses the adaptive fuzzy system Takagi-Sugeno (T-S) to approximate the dynamics of the MIMO system. The small gain auxiliary sliding mode control term is incorporated in the control law to attenuate the external disturbances and remove fuzzy approximation modeling error. The simulation results show the effectiveness of the proposed method.
机译:在本文中,我们提出了一种模糊模糊逻辑和滑动模式,为两个链路机器人设计了一个强大的控制器,而不会喋喋不休。 这种组合可以减少抖动,因为当模糊逻辑用于建模未知的非线性系统时,不确定因素的上限变小。 该策略使用自适应模糊系统Takagi-Sugeno(T-S)来近似MIMO系统的动态。 小增益辅助滑动模式控制项被纳入控制定律,以衰减外部干扰并去除模糊近似建模误差。 仿真结果表明了该方法的有效性。

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