Passivity-based iterative learning control for 2DOF robot manipulators with antagonistic bi-articular muscles

Yusuke Ichijo, T. Murao, H. Kawai, M. Fujita
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引用次数: 5

Abstract

This paper investigates iterative learning control based on passivity for two-degree-of-freedom (2DOF) robot manipulators with antagonistic bi-articular muscles. Firstly, a brief summary of dynamics of 2DOF robot manipulators with antagonistic bi-articular muscles is given. Next, an error dynamics of the bi-articular manipulator for iterative learning control that has an output strictly passivity property is constructed. Then, we propose an iterative learning control law for the bi-articular manipulator. The proposed torque input does not need the parameters for the accurate models. Convergence analysis of the closed-loop system is carried out based on passivity. Finally, simulation results are presented in order to confirm the effectiveness of the proposed control law.
具有对抗性双关节肌的二自由度机器人机械臂的被动迭代学习控制
研究了具有对抗性双关节肌肉的二自由度机械臂的基于被动的迭代学习控制。首先,对具有对抗性双关节肌肉的2自由度机械臂动力学进行了简要综述。其次,构造了具有严格输出无源性的迭代学习控制双关节机械臂误差动力学模型。然后,我们提出了双关节机械臂的迭代学习控制律。所提出的转矩输入不需要精确模型的参数。基于无源性对闭环系统进行了收敛性分析。最后给出了仿真结果,验证了所提控制律的有效性。
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