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Minimum-Energy Trajectory Planning for an LCD Glass-Handling Robot

机译:LCD玻璃处理机器人的最小能量轨迹规划

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摘要

The main objective of this paper is to propose a novel minimum-energy trajectory planning for an LCD glass-handing robot, which is driven by a permanent magnet synchronous motor (PMSM). The system is described by a mathematical model of the electromechanical system. To generate the minimum-energy trajectory, we employ a high-degree polynomial with suitable conditions of angular displacement, speed, acceleration and jerk at the start and end points. The real-coded genetic algorithm (RGA) is used to search for the minimum-energy point-to-point (PTP) trajectory for the motion profile. The coefficients of the polynomial are determined by the RGA with the fitness function of minimum-energy input. The results are compared for various degrees of polynomials and to obtain the minimum energy input. It is concluded that the proposed methodology with minimum-energy input can also be applied to any electromechanical system driven by a PMSM.
机译:本文的主要目的是为液晶玻璃手工机器人提出一种新的最小能量轨迹规划,其由永磁同步电动机(PMSM)驱动。该系统由机电系统的数学模型描述。为了产生最小能量轨迹,我们采用高度多项式,在开始和终点上具有适当的角位移,速度,加速和混蛋条件。实际编码的遗传算法(RGA)用于搜索运动简档的最小能量点对点(PTP)轨迹。多项式的系数由RGA确定具有最小能量输入的适合度函数。将结果与各个程度的多项式进行比较,并获得最小能量输入。结论是,具有最小能量输入的提出方法也可以应用于由PMSM驱动的任何机电系统。

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