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Fuzzy logic control of single-link flexible joint manipulator

机译:单连杆柔性关节机械手的模糊逻辑控制

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In this paper, a single-link flexible joint robot is designed, fabricated and controlled. Three different fuzzy logic controllers (FLCs) were used to remove link vibrations and to obtain accurate trajectory tracking of link end-point. The input variables of the first and the second FLCs are motor rotation angle error and its derivative, and end-effector deflection error and derivative of deflection error, respectively. The outputs of these controllers are inputs of the third FLC producing the control signal of the flexible joint system. All of the FLCs were embedded in ds1103 real time control board. In the step response experiments, the error of motor rotation angle was obtained less than 0.12 degree and there was no steady-state error in the end-effector deflection. In the different trajectory-tracking experiments with the same FLC structure, small errors and phase shift in the system variables were occurred. Also, parameters of flexible arm were changed to test robustness of the FLC. It is seen that FLC are very robust to internal and external disturbances. Considering the all results of the experiments, FLC shows efficient performance in flexible robot arm.
机译:在本文中,设计了一个单轴灵活的接头机器人,制造和控制。三种不同的模糊逻辑控制器(FLC)用于去除链路振动,并获得链路端点的准确轨迹跟踪。第一和第二FLC的输入变量分别是电动机旋转角度误差及其导数,以及偏转误差的终端效应偏转误差和衍生物。这些控制器的输出是第三FLC的输入,产生柔性联合系统的控制信号。所有FLC都嵌入在DS1103实时控制板中。在步进响应实验中,获得电动机旋转角度的误差小于0.12度,并且在末端效应子偏转中没有稳态误差。在具有相同FLC结构的不同轨迹跟踪实验中,发生了系统变量中的小错误和相移。此外,柔性臂的参数变为测试FLC的鲁棒性。可以看出,FLC对内部和外部干扰非常鲁棒。考虑到实验的所有结果,FLC在柔性机器人臂上显示出有效的性能。

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