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On-line gain adjustment of a robot controller, using fuzzy logic

机译:使用模糊逻辑对机器人控制器进行在线增益调整

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A new method for on-line tuning the gains of classical controllers using fuzzy logic is propose.d The design of the fuzzy component of the controller is based on the knowledge of a classical controller's behavior. In the desing of the fuzzy logic controller, an off-line neural network learning process and the human expertise are combined. The designed fuzzy-PD controller is compared with the classical PD and its found that the fuzzy-PD controller saves energy without losing in performance. A two rotational degree of freedom robotic arm is used to demonstrate the effectiveness of the proposed control law.
机译:提出了一种利用模糊逻辑在线调节经典控制器增益的新方法。d基于经典控制器行为的知识,对控制器的模糊分量进行设计。在模糊逻辑控制器的设计中,将离线神经网络学习过程与人类专业知识相结合。将设计的Fuzzy-PD控制器与经典PD进行比较,发现Fuzzy-PD控制器在不损失性能的情况下节省了能源。使用两个旋转自由度机械臂来证明所提出的控制定律的有效性。

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