PID Control Based On Double Fuzzy RBF Neural Network For 7-DOF Manipulator

Conference proceedings article

Authors/Editors

WUDHICHAI ASSAWINCHAICHOTE

Strategic Research Themes

Other (Strategic Research Themes)

Publication Details

Author list: Zhang H., Assawinchaichote W.

Publisher: Hindawi

Publication year: 2020

ISBN: 9781728130767

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085022536&doi=10.1109%2fiEECON48109.2020.229507&partnerID=40&md5=eb8d1f4c6c4e0c220b1e2925b27eb5c1

Languages: English-Great Britain (EN-GB)

View in Web of Science | View on publisher site | View citing articles in Web of Science

Abstract

In this paper, a PID control system based on Double Radial Basis Function(RBF) neural network is proposed for time-varying systems such as 7-DOF mechanical arm. This system combines the benefits of PID control system, fuzzy control system as well as neural network control system while being able to classify the errors and variations and keep them under control. In this paper, MATLAB/SIMULINK is used to carry out simulation tentative on this system The results show that this system can indeed make the processing faster and more accurate.. © 2020 IEEE.

Keywords

7-DOF manipulator, Fuzzy RBF neural network control