Comparision of PID controller & adaptive neuro fuzzy controller for robot manipulator

Ravi Kant Gupta, Sunita Chauhan

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

2 Citations (Scopus)

Abstract

This paper has been proposed to deal with controlling of robot manipulator. It utilizes method of Adaptive Neuro Fuzzy controlling to control position and trajectory tracking of robotic arm with three degree of freedom. This technique also handles the problems like tuning and uncertainties of system associated with proportional integral differential (PID) controller. It has ability to learn the multi processes related to the each of the links and produces accurate and desire controlling.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Computational Intelligence and Computing Research
Place of PublicationNew Jersey USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Electronic)9781479978489
DOIs
Publication statusPublished - 2016
Externally publishedYes
EventIEEE International Conference on Computational Intelligence and Computing Research 2015 - Vickram College of Engineering, Madurai, India
Duration: 10 Dec 201512 Dec 2015
Conference number: 6th
https://ieeexplore.ieee.org/xpl/conhome/7430173/proceeding (Proceedings)

Conference

ConferenceIEEE International Conference on Computational Intelligence and Computing Research 2015
Abbreviated titleICCIC 2015
CountryIndia
CityMadurai
Period10/12/1512/12/15
Internet address

Keywords

  • Adaptive neuro fuzzy inference system(ANFIS)
  • PID
  • Robotic arm manipulator(RAM)

Cite this