Design of Hybrid Neural Fuzzy Controller for Human Robotic Leg System

 In this paper, the human robotic leg which can be represented mathematically by single input-single output (SISO) nonlinear differential model with one degree of freedom, is analyzed and then a simple hybrid neural fuzzy controller is designed to improve the performance of this human robotic leg m...

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Autores principales: Ekhlas H. Karam, Ayam M Abbass, Noor S. Abdul-Jaleel
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Lenguaje:EN
Publicado: Al-Khwarizmi College of Engineering – University of Baghdad 2018
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Acceso en línea:https://doaj.org/article/b5356ef9959f4ac58f19d3eeb0657f39
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spelling oai:doaj.org-article:b5356ef9959f4ac58f19d3eeb0657f392021-12-02T04:44:59ZDesign of Hybrid Neural Fuzzy Controller for Human Robotic Leg System10.22153/kej.2018.08.0071818-11712312-0789https://doaj.org/article/b5356ef9959f4ac58f19d3eeb0657f392018-04-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/123https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789  In this paper, the human robotic leg which can be represented mathematically by single input-single output (SISO) nonlinear differential model with one degree of freedom, is analyzed and then a simple hybrid neural fuzzy controller is designed to improve the performance of this human robotic leg model. This controller consists from SISO fuzzy proportional derivative (FPD) controller with nine rules summing with single node neural integral derivative (NID) controller with nonlinear function. The Matlab simulation results for nonlinear robotic leg model with the suggested controller showed that the efficiency of this controller when compared with the results of the leg model that is controlled by PI+2D, PD+NID, and FPD-ID controllers. Ekhlas H. KaramAyam M AbbassNoor S. Abdul-JaleelAl-Khwarizmi College of Engineering – University of BaghdadarticleChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 14, Iss 1 (2018)
institution DOAJ
collection DOAJ
language EN
topic Chemical engineering
TP155-156
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle Chemical engineering
TP155-156
Engineering (General). Civil engineering (General)
TA1-2040
Ekhlas H. Karam
Ayam M Abbass
Noor S. Abdul-Jaleel
Design of Hybrid Neural Fuzzy Controller for Human Robotic Leg System
description  In this paper, the human robotic leg which can be represented mathematically by single input-single output (SISO) nonlinear differential model with one degree of freedom, is analyzed and then a simple hybrid neural fuzzy controller is designed to improve the performance of this human robotic leg model. This controller consists from SISO fuzzy proportional derivative (FPD) controller with nine rules summing with single node neural integral derivative (NID) controller with nonlinear function. The Matlab simulation results for nonlinear robotic leg model with the suggested controller showed that the efficiency of this controller when compared with the results of the leg model that is controlled by PI+2D, PD+NID, and FPD-ID controllers.
format article
author Ekhlas H. Karam
Ayam M Abbass
Noor S. Abdul-Jaleel
author_facet Ekhlas H. Karam
Ayam M Abbass
Noor S. Abdul-Jaleel
author_sort Ekhlas H. Karam
title Design of Hybrid Neural Fuzzy Controller for Human Robotic Leg System
title_short Design of Hybrid Neural Fuzzy Controller for Human Robotic Leg System
title_full Design of Hybrid Neural Fuzzy Controller for Human Robotic Leg System
title_fullStr Design of Hybrid Neural Fuzzy Controller for Human Robotic Leg System
title_full_unstemmed Design of Hybrid Neural Fuzzy Controller for Human Robotic Leg System
title_sort design of hybrid neural fuzzy controller for human robotic leg system
publisher Al-Khwarizmi College of Engineering – University of Baghdad
publishDate 2018
url https://doaj.org/article/b5356ef9959f4ac58f19d3eeb0657f39
work_keys_str_mv AT ekhlashkaram designofhybridneuralfuzzycontrollerforhumanroboticlegsystem
AT ayammabbass designofhybridneuralfuzzycontrollerforhumanroboticlegsystem
AT noorsabduljaleel designofhybridneuralfuzzycontrollerforhumanroboticlegsystem
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