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Optimization of the PID coefficients for the line-follower mobile robot controller employing genetic algorithm

Authors :
T. Yu. Kim
R. A. Prakapovich
Source :
Informatika, Vol 18, Iss 4, Pp 53-68 (2021)
Publication Year :
2021
Publisher :
National Academy of Sciences of Belarus, the United Institute of Informatics Problems, 2021.

Abstract

O b j e c t i v e s. To develop a control system for the movement of a mobile robot along a color-contrast line, as well as to find the values of the coefficients of a proportional-integral-differentiating (PID) controller that allows the robot to move along the line at a given speed.M e t ho d s. To adjust the values of the coefficients of the PID controller, methods of enumeration, automatic tuning and a genetic algorithm are used.Re s u l t s. A software package for tuning the PID controller of the educational mobile robot RoboCake, designed to move along a closed color-contrast line at a given speed, has been developed. The software package consists of a simulation model of the specified robot in the Simulink environment, several virtual traces-polygons and a specialized solver based on the developed genetic algorithm. With the help of the proposed fitness function, a mobile robot control system that satisfies the stated conditions is implemented. Based on the conducted model experiments, the desired values of the parameters of the PID controller are obtained.Co n c l u s i o n. A comparison of the effectiveness of various methods of tuning the PID controller is carried out. The developed software package is designed to solve the practical problem of moving a mobile robot along a color-contrast line at a speed of 1 m/s. The results obtained can be used to study methods of evolutionary tuning of stabilization systems for transport robots, ensuring their movement without overshoot.

Details

Language :
Russian
ISSN :
18160301
Volume :
18
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Informatika
Publication Type :
Academic Journal
Accession number :
edsdoj.fd8f924cf19f401abbf65f907a5b3d52
Document Type :
article
Full Text :
https://doi.org/10.37661/1816-0301-2021-18-4-53-68