Neural Tracking Control of a Four-Wheeled Mobile Robot with Mecanum Wheels

This study designed an algorithm for the intelligent control of the motion of a mobile robot with mecanum wheels. After reviewing the model kinematics and dynamics of the robot, we conducted a synthesis of the neural control algorithm to determine network weight adaptation, according to Lyapunov sta...

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Published inApplied sciences Vol. 12; no. 11; p. 5322
Main Authors Szeremeta, Mateusz, Szuster, Marcin
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2022
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Online AccessGet full text
ISSN2076-3417
2076-3417
DOI10.3390/app12115322

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Abstract This study designed an algorithm for the intelligent control of the motion of a mobile robot with mecanum wheels. After reviewing the model kinematics and dynamics of the robot, we conducted a synthesis of the neural control algorithm to determine network weight adaptation, according to Lyapunov stability theory. Using a MATLAB/Simulink computing environment, we developed a numerical simulation for the implementation of the robot’s motion path with parametric disturbances acting on the control object. To determine the quality of the implementation of the desired motion path, a numerical test of the robot’s motion, controlled with the use of a PD controller, was conducted. The proposed control algorithm was verified on a laboratory stand equipped with a dSpace DS1103 controller board and a Husarion Panther four-wheeled mobile robot with mecanum wheels. The conducted research confirmed the improved implementation of the desired motion path by a robot controlled with the use of an intelligent control system.
AbstractList This study designed an algorithm for the intelligent control of the motion of a mobile robot with mecanum wheels. After reviewing the model kinematics and dynamics of the robot, we conducted a synthesis of the neural control algorithm to determine network weight adaptation, according to Lyapunov stability theory. Using a MATLAB/Simulink computing environment, we developed a numerical simulation for the implementation of the robot’s motion path with parametric disturbances acting on the control object. To determine the quality of the implementation of the desired motion path, a numerical test of the robot’s motion, controlled with the use of a PD controller, was conducted. The proposed control algorithm was verified on a laboratory stand equipped with a dSpace DS1103 controller board and a Husarion Panther four-wheeled mobile robot with mecanum wheels. The conducted research confirmed the improved implementation of the desired motion path by a robot controlled with the use of an intelligent control system.
Author Szeremeta, Mateusz
Szuster, Marcin
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  doi: 10.1109/TII.2020.2983841
– ident: ref_11
  doi: 10.3390/s20010075
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Snippet This study designed an algorithm for the intelligent control of the motion of a mobile robot with mecanum wheels. After reviewing the model kinematics and...
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SubjectTerms Adaptation
Control algorithms
Controllers
Cooperation
intelligent control
Kinematics
Lyapunov stability theory
Mathematical models
mecanum wheels
Motion control
neural networks
Robots
Simulation
tracking control
wheeled mobile robot
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Title Neural Tracking Control of a Four-Wheeled Mobile Robot with Mecanum Wheels
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