Positional Accuracy Improvement of an Industrial Robot Using Feedforward Compensation and Feedback Control

Author:

Li Bo1,Zhang Wei1,Li Yufei1,Tian Wei1,Wang Changrui1

Affiliation:

1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Abstract

Abstract Industrial robots play an important role in the transformation and upgrading of aviation manufacturing technology by their advantages of high flexibility, high efficiency, and low costs compared to the conventional computerised numerical control machine. However, due to the serial structure design of the main body, the industrial robot has low absolute positional accuracy, which limits its popularization and application in the field of high-precision manufacturing. The purpose of this paper is to develop a robot accuracy improvement method using feedforward compensation and joint closed-loop feedback correction considering the influence of joint backlash. The experimental results show that the positional error of the compensated robot by the proposed method is reduced from 0.76 mm to 0.18 mm under no-load conditions, and the hole's positional accuracy is to 0.25 mm in the robotic drilling experiment.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Reference46 articles.

1. Key Technology for Digital Manufacturing of Large Aircraft;Aeronaut. Manuf. Technol.,2016

2. Research on Construction and Key Technologies of Aircraft Assembly Intelligent Manufacturing System;Mod. Ind. Econ. Inform.,2017

3. Application of Intelligent Manufacturing Technology in Aircraft Part Dijital Assembly;Aeronaut. Manuf. Technol.,2014

4. Robust Iterative Learning Control for Vibration Suppression of Industrial Robot Manipulators;ASME J. Dyn. Syst. Meas. Control,2017

5. Progress and Review in “China Manufacturing 2025;Ind. Technol. Econ.,2018

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