Adaptive Robust Tracking Control Based on Backstepping Method for Uncertain Robotic Manipulators Including Motor Dynamics

Recent research on the backstepping control of robotic systems has motivated us to design a robust backstepping voltage-based controller with computational simplicity and ease of implementation. In this paper, an adaptive robust tracking controller based on backstepping method (ARTB) is presented fo...

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Main Authors: javad keighobadi, Mohammad mehdi Fateh
Format: Article
Language:English
Published: University of Sistan and Baluchestan 2021-01-01
Series:International Journal of Industrial Electronics, Control and Optimization
Subjects:
Online Access:https://ieco.usb.ac.ir/article_5400_58b2581bc8f83f5244e068ba78351862.pdf
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author javad keighobadi
Mohammad mehdi Fateh
author_facet javad keighobadi
Mohammad mehdi Fateh
author_sort javad keighobadi
collection DOAJ
description Recent research on the backstepping control of robotic systems has motivated us to design a robust backstepping voltage-based controller with computational simplicity and ease of implementation. In this paper, an adaptive robust tracking controller based on backstepping method (ARTB) is presented for uncertain electrically-driven robotic manipulators in the framework of voltage control strategy. It is intended to convert robot control problem to motor control problem. In the design procedure, the manipulator dynamics are incorporated into a lumped uncertainty, such that the proposed adaptation law promptly compensates for it. Hence, high tracking accuracy, robust behavior and less complexity are the prominent features of the proposed control system in the presence of external disturbances, parametric uncertainties and un-modeled dynamics. Moreover, the control approach is useful for high-speed tracking purposes. The stability of the closed-loop system is guaranteed based on the Lyapunov theory and the tracking error converges to zero asymptotically. As a case study, the proposed ARTB is simulated on a two-link robot manipulator driven by permanent magnet DC motors. Numerical simulations are included to show the superiority of the proposed controller to a state augmented adaptive backstepping method, a sliding backstepping controller and an adaptive backstepping sliding mode control in tracking the desired trajectory.
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spelling doaj.art-e48e683ecd6047c0a2f38ff7d052a5fd2022-12-22T02:25:43ZengUniversity of Sistan and BaluchestanInternational Journal of Industrial Electronics, Control and Optimization2645-35172645-35682021-01-0141132210.22111/ieco.2020.31792.12135400Adaptive Robust Tracking Control Based on Backstepping Method for Uncertain Robotic Manipulators Including Motor Dynamicsjavad keighobadi0Mohammad mehdi Fateh1Department of Electrical and Robotic EngineeringDepartment of Electrical and Robatic Enbineering ,Shahrood University of Technology,IranRecent research on the backstepping control of robotic systems has motivated us to design a robust backstepping voltage-based controller with computational simplicity and ease of implementation. In this paper, an adaptive robust tracking controller based on backstepping method (ARTB) is presented for uncertain electrically-driven robotic manipulators in the framework of voltage control strategy. It is intended to convert robot control problem to motor control problem. In the design procedure, the manipulator dynamics are incorporated into a lumped uncertainty, such that the proposed adaptation law promptly compensates for it. Hence, high tracking accuracy, robust behavior and less complexity are the prominent features of the proposed control system in the presence of external disturbances, parametric uncertainties and un-modeled dynamics. Moreover, the control approach is useful for high-speed tracking purposes. The stability of the closed-loop system is guaranteed based on the Lyapunov theory and the tracking error converges to zero asymptotically. As a case study, the proposed ARTB is simulated on a two-link robot manipulator driven by permanent magnet DC motors. Numerical simulations are included to show the superiority of the proposed controller to a state augmented adaptive backstepping method, a sliding backstepping controller and an adaptive backstepping sliding mode control in tracking the desired trajectory.https://ieco.usb.ac.ir/article_5400_58b2581bc8f83f5244e068ba78351862.pdfrobust tracking controlbackstepping methodvoltage-based controladaptation mechanismelectrically-driven robotic manipulators
spellingShingle javad keighobadi
Mohammad mehdi Fateh
Adaptive Robust Tracking Control Based on Backstepping Method for Uncertain Robotic Manipulators Including Motor Dynamics
International Journal of Industrial Electronics, Control and Optimization
robust tracking control
backstepping method
voltage-based control
adaptation mechanism
electrically-driven robotic manipulators
title Adaptive Robust Tracking Control Based on Backstepping Method for Uncertain Robotic Manipulators Including Motor Dynamics
title_full Adaptive Robust Tracking Control Based on Backstepping Method for Uncertain Robotic Manipulators Including Motor Dynamics
title_fullStr Adaptive Robust Tracking Control Based on Backstepping Method for Uncertain Robotic Manipulators Including Motor Dynamics
title_full_unstemmed Adaptive Robust Tracking Control Based on Backstepping Method for Uncertain Robotic Manipulators Including Motor Dynamics
title_short Adaptive Robust Tracking Control Based on Backstepping Method for Uncertain Robotic Manipulators Including Motor Dynamics
title_sort adaptive robust tracking control based on backstepping method for uncertain robotic manipulators including motor dynamics
topic robust tracking control
backstepping method
voltage-based control
adaptation mechanism
electrically-driven robotic manipulators
url https://ieco.usb.ac.ir/article_5400_58b2581bc8f83f5244e068ba78351862.pdf
work_keys_str_mv AT javadkeighobadi adaptiverobusttrackingcontrolbasedonbacksteppingmethodforuncertainroboticmanipulatorsincludingmotordynamics
AT mohammadmehdifateh adaptiverobusttrackingcontrolbasedonbacksteppingmethodforuncertainroboticmanipulatorsincludingmotordynamics