Robust Neural Network Control of Electrically Driven Robot Manipulator Using Backstepping Approach

A novel approach to neural network based tracking-control of robot manipulator including actuator dynamics is proposed by using of backstepping method. A simple two-step backstepping is considered for an n-link robotic system, and a feedforward neural controller is designed at second step where stru...

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Main Authors: Seyed Ehsan Shafiei, Mohammad Reza Soltanpour
Format: Article
Language:English
Published: SAGE Publishing 2009-12-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/7239
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author Seyed Ehsan Shafiei
Mohammad Reza Soltanpour
author_facet Seyed Ehsan Shafiei
Mohammad Reza Soltanpour
author_sort Seyed Ehsan Shafiei
collection DOAJ
description A novel approach to neural network based tracking-control of robot manipulator including actuator dynamics is proposed by using of backstepping method. A simple two-step backstepping is considered for an n-link robotic system, and a feedforward neural controller is designed at second step where structured and unstructured uncertainties in robot dynamics and actuator model are approximated by this neural controller. Bounds of network reconstruction error and other imprecisions are estimated adaptively and for compensating them, a robust control signal is added and modified. Stability analysis is performed by the Lyapunov direct method and performance efficiency of the proposed controller is justified by the simulations.
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spelling doaj.art-eaf075ec6e564893bd693fe2ca4e12902022-12-21T23:45:58ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142009-12-01610.5772/723910.5772_7239Robust Neural Network Control of Electrically Driven Robot Manipulator Using Backstepping ApproachSeyed Ehsan ShafieiMohammad Reza SoltanpourA novel approach to neural network based tracking-control of robot manipulator including actuator dynamics is proposed by using of backstepping method. A simple two-step backstepping is considered for an n-link robotic system, and a feedforward neural controller is designed at second step where structured and unstructured uncertainties in robot dynamics and actuator model are approximated by this neural controller. Bounds of network reconstruction error and other imprecisions are estimated adaptively and for compensating them, a robust control signal is added and modified. Stability analysis is performed by the Lyapunov direct method and performance efficiency of the proposed controller is justified by the simulations.https://doi.org/10.5772/7239
spellingShingle Seyed Ehsan Shafiei
Mohammad Reza Soltanpour
Robust Neural Network Control of Electrically Driven Robot Manipulator Using Backstepping Approach
International Journal of Advanced Robotic Systems
title Robust Neural Network Control of Electrically Driven Robot Manipulator Using Backstepping Approach
title_full Robust Neural Network Control of Electrically Driven Robot Manipulator Using Backstepping Approach
title_fullStr Robust Neural Network Control of Electrically Driven Robot Manipulator Using Backstepping Approach
title_full_unstemmed Robust Neural Network Control of Electrically Driven Robot Manipulator Using Backstepping Approach
title_short Robust Neural Network Control of Electrically Driven Robot Manipulator Using Backstepping Approach
title_sort robust neural network control of electrically driven robot manipulator using backstepping approach
url https://doi.org/10.5772/7239
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AT mohammadrezasoltanpour robustneuralnetworkcontrolofelectricallydrivenrobotmanipulatorusingbacksteppingapproach