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MECHANICAL ARM CONTROL METHOD BASED ON LEAST SQUARES METHOD FOR USE IN ROBOT EXPERIMENTAL TEACHING

机译:基于最小二乘法的机械臂控制方法在机器人实验教学中的应用

摘要

A mechanical arm control method based on a least squares method for use in robot experimental teaching, comprising: collecting a target object image and, by means of the target object image, calculating position coordinates of the target object; setting a pickup distance, selecting a plurality of first sample points and second sample points on the basis of the position target, and using a swing steering machine to control a claw to move sequentially according to a first trajectory and a second trajectory; reading a PWM signal duty cycle S in the swing steering machine and calculating the value of Di=S/P; on the basis of a least squares method, fitting xi to obtain a fitting equation; adjusting the pickup distance and, on the basis of fitting data, correspondingly setting the PWM signal duty cycle in the swing steering machine and controlling the claw to move sequentially along the first trajectory and the second trajectory; and controlling the claw to open and close to grab the target object and pick upward; using the least squares method greatly simplifies the steps for implementing trajectory calibration and increases the pickup efficiency of the mechanical arm, facilitating use in robot experimental teaching.
机译:一种用于机器人实验教学的基于最小二乘法的机械臂控制方法,包括:收集目标物体图像,并借助该目标物体图像计算目标物体的位置坐标;设置拾取距离,基于位置目标选择多个第一采样点和第二采样点,并使用回转操纵机控制爪根据第一轨迹和第二轨迹依次移动;读取回转舵机中的PWM信号占空比S,计算出Di = S / P的值。在最小二乘法的基础上,对xi进行拟合得到拟合方程;调整拾取距离,并基于拟合数据,在回转转向机中相应地设置PWM信号占空比,并控制爪沿第一轨迹和第二轨迹依次移动;控制爪子打开和关闭以抓住目标物体并向上提起;使用最小二乘法的方法大大简化了执行轨迹校准的步骤,并提高了机械臂的拾取效率,从而便于在机器人实验教学中使用。

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