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

机译:使用模糊逻辑的机器人控制器的在线增益调整。

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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:使用模糊逻辑的在线调整经典控制器的增益的新方法是提出了控制器的模糊组件的设计基于经典控制器行为的知识。在模糊逻辑控制器的Desing中,结合了离线神经网络学习过程和人类专业知识。设计的模糊PD控制器与古典PD进行比较,发现模糊PD控制器可在不损失性能的情况下节省能量。两个旋转自由度机器人臂用于证明所提出的控制法的有效性。

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