Energy-Saving Driving for a Flexible Manipulator by Utilizing Micro Fiber Composite

A. Abe
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Abstract

In this paper, we examine a point-to-point motion task of a flexible manipulator with macro fiber composite (MFC) and then propose a new feedforward control method to suppress driving energy and residual vibration simultaneously. For this, we use an MFC attached to one side of the flexible manipulator that has one revolute joint as an actuator. We attempt to express the joint angle in the control technique by combining cycloidal and polynomial functions. On the other hand, the input voltage profile of the MFC is expressed using Gaussian functions. The trajectory of the joint angle and the input voltage profile are dependent upon the coefficients of the polynomial function and the Gaussian functions, respectively. The trajectory and the input voltage profile are optimized simultaneously to cancel the residual vibration under saving energy by tuning the coefficients using the particle swarm optimization algorithm. The effectiveness of the proposed method is verified by performing simulations and experiments. Thus, our findings confirmed that the simultaneous optimization of the trajectory of the joint angle and the input voltage of the MFC saves more energy than only the optimization of the trajectory. Therefore, we could establish an energy-saving feedforward control method by driving two actuators.
基于微纤维复合材料的柔性机械臂节能驱动
针对宏纤维复合材料(MFC)柔性机械臂的点对点运动任务,提出了一种前馈控制方法,同时抑制驱动能量和残余振动。为此,我们使用一个MFC连接到具有一个旋转关节作为执行器的柔性机械手的一侧。在控制技术中,我们尝试用摆线函数和多项式函数相结合的方法来表示关节角。另一方面,MFC的输入电压分布用高斯函数表示。关节角的轨迹和输入电压分布分别依赖于多项式函数和高斯函数的系数。采用粒子群优化算法对轨迹和输入电压分布进行同步优化,在节能的前提下消除残余振动。仿真和实验验证了该方法的有效性。因此,我们的研究结果证实,同时优化关节角和MFC输入电压的轨迹比只优化轨迹节省更多的能量。因此,我们可以建立一种通过驱动两个执行器的节能前馈控制方法。
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