Workspace trajectory control of flexible robot manipulators using neural network and visual sensor feedback

This paper addresses the issue of workspace trajectory tracking control of flexible robot manipulators. A control strategy integrated with computed-torque-like control scheme, link vibration suppressing control scheme, and learning control scheme is proposed. Dynamics of a virtual rigid robot and vi...

Full description

Saved in:
Bibliographic Details
Main Author: Zhao-Hui Jiang
Format: Conference Proceeding
Language:English
Subjects:
Joints
Neural networks
Process control
Robot sensing systems
Trajectory
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper addresses the issue of workspace trajectory tracking control of flexible robot manipulators. A control strategy integrated with computed-torque-like control scheme, link vibration suppressing control scheme, and learning control scheme is proposed. Dynamics of a virtual rigid robot and vision feedback are used to construct the computed torque like controller. The learning controller is designed with a multilayer feedforward neural network to provide the control system with learning ability for improving performance of the control system. A vision system consisting of a CCD camera and video tracker is used for the measuring of end-effector position and link deflections. Simulations and experiments of end-effector trajectory tracking control are carried out using a 2-link flexible robot system as a testbed. The results confirm the effectiveness and usefulness of the proposed control strategy.
ISSN:0840-7789
2576-7046
DOI:10.1109/CCECE.2015.7129503