Proceeding of the Electrical Engineering Computer Science and Informatics
Vol 5: EECSI 2018

Improving a Wall-Following Robot Performance with a PID-Genetic Algorithm Controller

Heru Suwoyo (Shanghai University)
Yingzhong Tian (Shanghai University)
Chenwei Deng (Beijing Institute of Technology)
Andi Adriansyah (Universitas Mercu Buana)

Article Info

Publish Date
18 Sep 2019

Abstract

A wall-following robot needs a robust controller that navigate robot based on the specified distance from the wall. The usage of PID controller has been successfully minimizing the dynamic error of wall-following robot. However, a manual setting of three unknown parameters of PID-controller often precisely increase instability. Hence, recently there are many approaches to solve this issue. This paper presents an approach to obtaining those PID parameters automatically by utilizing the role of Genetic Algorithm. The proposed method was simulated using MATLAB and tested in a real robot. Based on several experiments results it has been showing the effectiveness of reducing the dynamic error of the wall-following robot.

Copyrights © 2018




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Full PDF
348.99 KB
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
Proceeding of the Electrical Engineering Computer Science and Informatics
Website

Abbrev

EECSI

Publisher

Institute of Advanced Engineering and Science

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, ...