ANFIS inverse kinematics method in bilateral control system based on DOB of delta robot

N. Nakhon, V. Napol, C. Chowarit
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引用次数: 2

Abstract

Recently, delta robots are widely used in many industrial applications because the structure of delta robot is close loop chain and has properties of high rigid body and fast movement. To transform from task space to joint space, inverse kinematic is used to calculate. However, the system has a time delay and its equations are complication because of nonlinear equation. In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) method is used to calculate the inverse kinematics in the easy way. Task space position is transformed to joint space by using ANFIS, therefore it can decrease the complication of the nonlinear equation. Moreover, the force response is transfer between master and slave robot using Jacobian Matrix and negated the gravity force and also the task space position control using forward and ANFIS inverse kinematic. The control system uses disturbance observer (DOB) to estimate sum of action/reaction force of master-slave delta robot instead of the force sensors.
基于三角机器人DOB的双边控制系统的ANFIS逆运动学方法
近年来,delta机器人由于其结构为闭环链式,具有高刚体和快速运动的特点,在许多工业应用中得到了广泛的应用。为了从任务空间转换到关节空间,使用逆运动学进行计算。但由于非线性方程的存在,系统存在一定的时滞,且其方程较为复杂。本文采用自适应神经模糊推理系统(ANFIS)方法简便地计算出机器人的逆运动学。将任务空间位置转换为关节空间,降低了非线性方程的复杂性。利用雅可比矩阵在主从机器人之间传递力响应,并对重力进行逆解,利用正运动学和ANFIS逆运动学对任务空间位置进行控制。该控制系统采用扰动观测器(DOB)来估计主从delta机器人的作用力和反作用力,而不是采用力传感器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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