Novel PID Tracking Controller for 2DOF Robotic Manipulator System Based on Artificial Bee Colony Algorithm

This study presents a well-developed optimization methodology based on the dynamic inertia weight Artificial Bee Colony algorithm (ABC) to design an optimal PID controller for a robotic arm manipulator. The dynamical analysis of robotic arm manipulators investigates a coupling relation between the j...

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Main Authors: Elkhateeb Nasr A., Badr Ragia I.
Format: Article
Language:English
Published: Sciendo 2017-12-01
Series:Electrical, Control and Communication Engineering
Subjects:
Online Access:https://doi.org/10.1515/ecce-2017-0008
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author Elkhateeb Nasr A.
Badr Ragia I.
author_facet Elkhateeb Nasr A.
Badr Ragia I.
author_sort Elkhateeb Nasr A.
collection DOAJ
description This study presents a well-developed optimization methodology based on the dynamic inertia weight Artificial Bee Colony algorithm (ABC) to design an optimal PID controller for a robotic arm manipulator. The dynamical analysis of robotic arm manipulators investigates a coupling relation between the joint torques applied by the actuators and the position and acceleration of the robot arm. An optimal PID control law is obtained from the proposed (ABC) algorithm and applied to the robotic system. The designed controller optimizes the trajectory of the robot’s end effector for a time-variant input and makes the robot robust in the presence of external disturbance.
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spelling doaj.art-73f7ec63ee31461f9f0f097bb47b82b12022-12-22T03:03:30ZengSciendoElectrical, Control and Communication Engineering2255-91592017-12-01131556210.1515/ecce-2017-0008ecce-2017-0008Novel PID Tracking Controller for 2DOF Robotic Manipulator System Based on Artificial Bee Colony AlgorithmElkhateeb Nasr A.0Badr Ragia I.1Ph.D., Modern University for Technology and InformationProfessor, Cairo UniversityThis study presents a well-developed optimization methodology based on the dynamic inertia weight Artificial Bee Colony algorithm (ABC) to design an optimal PID controller for a robotic arm manipulator. The dynamical analysis of robotic arm manipulators investigates a coupling relation between the joint torques applied by the actuators and the position and acceleration of the robot arm. An optimal PID control law is obtained from the proposed (ABC) algorithm and applied to the robotic system. The designed controller optimizes the trajectory of the robot’s end effector for a time-variant input and makes the robot robust in the presence of external disturbance.https://doi.org/10.1515/ecce-2017-0008artificial intelligencecontrol systemsevolutionary computationrobotic manipulatorstrajectory optimization
spellingShingle Elkhateeb Nasr A.
Badr Ragia I.
Novel PID Tracking Controller for 2DOF Robotic Manipulator System Based on Artificial Bee Colony Algorithm
Electrical, Control and Communication Engineering
artificial intelligence
control systems
evolutionary computation
robotic manipulators
trajectory optimization
title Novel PID Tracking Controller for 2DOF Robotic Manipulator System Based on Artificial Bee Colony Algorithm
title_full Novel PID Tracking Controller for 2DOF Robotic Manipulator System Based on Artificial Bee Colony Algorithm
title_fullStr Novel PID Tracking Controller for 2DOF Robotic Manipulator System Based on Artificial Bee Colony Algorithm
title_full_unstemmed Novel PID Tracking Controller for 2DOF Robotic Manipulator System Based on Artificial Bee Colony Algorithm
title_short Novel PID Tracking Controller for 2DOF Robotic Manipulator System Based on Artificial Bee Colony Algorithm
title_sort novel pid tracking controller for 2dof robotic manipulator system based on artificial bee colony algorithm
topic artificial intelligence
control systems
evolutionary computation
robotic manipulators
trajectory optimization
url https://doi.org/10.1515/ecce-2017-0008
work_keys_str_mv AT elkhateebnasra novelpidtrackingcontrollerfor2dofroboticmanipulatorsystembasedonartificialbeecolonyalgorithm
AT badrragiai novelpidtrackingcontrollerfor2dofroboticmanipulatorsystembasedonartificialbeecolonyalgorithm