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Robust fuzzy control for a class of nonlinear nonlinear systems using input-output linearization. real-time implementation for a robot wrist

机译:一种使用输入输出线性化的一类非线性非线性系统的鲁棒模糊控制。机器人手腕的实时实施

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In this paper, a fuzzy controller enhanced with a H{sub}∞ control component is proposed to deal with unmodeled uncertainties for a class of continuous nonlinear systems. The uncertainties are due to fuzzy approximation error and external disturbances. First, we represent the nonlinear plant with a Takagi-Sugeno fuzzy system. Then, a fuzzy controller is designed applying the so-called "input-output linearization" concept. However, this controller can not guarantee robustness in the presence of uncertainties. In order to deal with this problem, an additive H{sub}∞ control component is added to the fuzzy controller to attenuate uncertainty influence on control performances. Finally, in order to demonstrate the feasibility of the proposed methodology, a real-time implementation for controlling a robot wrist is presented.
机译:在本文中,提出了一种利用H {SUB}∞控制组件增强的模糊控制器,以处理一类连续非线性系统的未拼模型的不确定性。不确定性是由于模糊近似误差和外部干扰。首先,我们用Takagi-Sugeno模糊系统代表非线性植物。然后,设计模糊控制器应用所谓的“输入输出线性化”概念。然而,该控制器不能保证在存在不确定性的情况下的鲁棒性。为了解决这个问题,添加了一种添加剂H {sub}∞控制分量,以减少对控制性能的不确定性影响。最后,为了证明所提出的方法的可行性,提出了控制机器人手腕的实时实现。

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