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The Anthropomorphic Robot Arm Joint Control Parameter Tuning Based on Ziegler Nichols PID

机译:基于Ziegler Nichols PID的拟人机器人臂联合控制参数调整

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In order to get the anthropomorphic robot accurate parameters of the upper limb joint control motor, a method based on Ziegler Nichols-frequency response of the adaptive PID controller is proposed. The control circuit identifies online important critical frequency response characteristics of process object through input and output data in the normal process operation, and then the system online update PID controller parameters based on Ziegler-Nichols setting rules or by the improved method. The results show that the method has stronger robustness and adaptive ability. It can always guarantee control circuit run in the best condition and almost completely resistant to outside interference. The simulation is not only an important guiding role to the design of anthropomorphic robot hand control node, but also certain reference significance for the dc motor closed-loop control.
机译:为了获得上肢关节控制电动机的拟人核心机器人准确参数,提出了一种基于自适应PID控制器的Ziegler Nichols频率响应的方法。 控制电路通过正常过程操作中的输入和输出数据识别过程对象的在线重要关键频率响应特性,然后基于Ziegler-Nichols设置规则或改进方法的系统在线更新PID控制器参数。 结果表明,该方法具有更强的鲁棒性和适应性能力。 它可以始终保证控制电路在最佳状态下运行,并且几乎完全抵抗外部干扰。 该模拟不仅是对拟人机器人手动控制节点设计的重要指导作用,而且对DC电动机闭环控制的一定的参考意义。

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