A novel inertia moment estimation algorithm collaborated with Active Force Control scheme for wheeled mobile robot control in constrained environments
This paper presents a novel inertia moment estimation algorithm to enable the Active Force Control Scheme for tracking a wheeled mobile robot (WMR) effectively in a specific trajectory within constrained environments such as on roads or in factories. This algorithm, also known as laser simulator log...
Saved in:
Main Authors: | , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier Ltd
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/97388/1/MusaMailah2021_ANovelInertiaMomentEstimationAlgorithm.pdf http://eprints.utm.my/id/eprint/97388/ http://dx.doi.org/10.1016/j.eswa.2021.115454 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.97388 |
---|---|
record_format |
eprints |
spelling |
my.utm.973882022-10-10T04:30:48Z http://eprints.utm.my/id/eprint/97388/ A novel inertia moment estimation algorithm collaborated with Active Force Control scheme for wheeled mobile robot control in constrained environments Ali, Mohammed A. H. Radzak, Muhammad S. A. Mailah, Musa Yusoff, Nukman Abd. Razak, Bushroa Ab. Karim, Mohd. Sayuti Ameen, Wadea A. Jabbar, Waheb Alsewari, Abdul Rahman A. Rassem, Taha H. Nasser, Abdullah B. Abdulghafor, Rawad TJ Mechanical engineering and machinery This paper presents a novel inertia moment estimation algorithm to enable the Active Force Control Scheme for tracking a wheeled mobile robot (WMR) effectively in a specific trajectory within constrained environments such as on roads or in factories. This algorithm, also known as laser simulator logic, has the capability to estimate the inertia moment of the AFC-controller when the robot is moving in a pre-planned path with the presence of noisy measurements. The estimation is accomplished by calculating the membership function based on the experts’ views in any form (symmetric or non-symmetric) with lowly or highly overlapped linguistic variables. A new Proportional-Derivative Active Force Controller (PD-AFC-LS-QC), employing the use of laser simulator logic and quick compensation loop, has been developed in this paper to robustly reject the noise and disturbances. This controller has three feedback control loops, namely, internal, external and quick compensation loops to compensate effectively the disturbances in the constrained environments. A simulation and experimental studies on WMR path control in two kinds of environments; namely, zigzag and highly curved terrains, were conducted to verify the proposed algorithm and controller which was then compared with other existed control schemes. The results of the simulation and experimental works show the capability of the proposed algorithms and the controller to robustly move the WMR in the constrained environments. Elsevier Ltd 2021 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/97388/1/MusaMailah2021_ANovelInertiaMomentEstimationAlgorithm.pdf Ali, Mohammed A. H. and Radzak, Muhammad S. A. and Mailah, Musa and Yusoff, Nukman and Abd. Razak, Bushroa and Ab. Karim, Mohd. Sayuti and Ameen, Wadea and A. Jabbar, Waheb and Alsewari, Abdul Rahman A. and Rassem, Taha H. and Nasser, Abdullah B. and Abdulghafor, Rawad (2021) A novel inertia moment estimation algorithm collaborated with Active Force Control scheme for wheeled mobile robot control in constrained environments. Expert Systems with Applications, 183 (NA). pp. 1-29. ISSN 0957-4174 http://dx.doi.org/10.1016/j.eswa.2021.115454 DOI : 10.1016/j.eswa.2021.115454 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
language |
English |
topic |
TJ Mechanical engineering and machinery |
spellingShingle |
TJ Mechanical engineering and machinery Ali, Mohammed A. H. Radzak, Muhammad S. A. Mailah, Musa Yusoff, Nukman Abd. Razak, Bushroa Ab. Karim, Mohd. Sayuti Ameen, Wadea A. Jabbar, Waheb Alsewari, Abdul Rahman A. Rassem, Taha H. Nasser, Abdullah B. Abdulghafor, Rawad A novel inertia moment estimation algorithm collaborated with Active Force Control scheme for wheeled mobile robot control in constrained environments |
description |
This paper presents a novel inertia moment estimation algorithm to enable the Active Force Control Scheme for tracking a wheeled mobile robot (WMR) effectively in a specific trajectory within constrained environments such as on roads or in factories. This algorithm, also known as laser simulator logic, has the capability to estimate the inertia moment of the AFC-controller when the robot is moving in a pre-planned path with the presence of noisy measurements. The estimation is accomplished by calculating the membership function based on the experts’ views in any form (symmetric or non-symmetric) with lowly or highly overlapped linguistic variables. A new Proportional-Derivative Active Force Controller (PD-AFC-LS-QC), employing the use of laser simulator logic and quick compensation loop, has been developed in this paper to robustly reject the noise and disturbances. This controller has three feedback control loops, namely, internal, external and quick compensation loops to compensate effectively the disturbances in the constrained environments. A simulation and experimental studies on WMR path control in two kinds of environments; namely, zigzag and highly curved terrains, were conducted to verify the proposed algorithm and controller which was then compared with other existed control schemes. The results of the simulation and experimental works show the capability of the proposed algorithms and the controller to robustly move the WMR in the constrained environments. |
format |
Article |
author |
Ali, Mohammed A. H. Radzak, Muhammad S. A. Mailah, Musa Yusoff, Nukman Abd. Razak, Bushroa Ab. Karim, Mohd. Sayuti Ameen, Wadea A. Jabbar, Waheb Alsewari, Abdul Rahman A. Rassem, Taha H. Nasser, Abdullah B. Abdulghafor, Rawad |
author_facet |
Ali, Mohammed A. H. Radzak, Muhammad S. A. Mailah, Musa Yusoff, Nukman Abd. Razak, Bushroa Ab. Karim, Mohd. Sayuti Ameen, Wadea A. Jabbar, Waheb Alsewari, Abdul Rahman A. Rassem, Taha H. Nasser, Abdullah B. Abdulghafor, Rawad |
author_sort |
Ali, Mohammed A. H. |
title |
A novel inertia moment estimation algorithm collaborated with Active Force Control scheme for wheeled mobile robot control in constrained environments |
title_short |
A novel inertia moment estimation algorithm collaborated with Active Force Control scheme for wheeled mobile robot control in constrained environments |
title_full |
A novel inertia moment estimation algorithm collaborated with Active Force Control scheme for wheeled mobile robot control in constrained environments |
title_fullStr |
A novel inertia moment estimation algorithm collaborated with Active Force Control scheme for wheeled mobile robot control in constrained environments |
title_full_unstemmed |
A novel inertia moment estimation algorithm collaborated with Active Force Control scheme for wheeled mobile robot control in constrained environments |
title_sort |
novel inertia moment estimation algorithm collaborated with active force control scheme for wheeled mobile robot control in constrained environments |
publisher |
Elsevier Ltd |
publishDate |
2021 |
url |
http://eprints.utm.my/id/eprint/97388/1/MusaMailah2021_ANovelInertiaMomentEstimationAlgorithm.pdf http://eprints.utm.my/id/eprint/97388/ http://dx.doi.org/10.1016/j.eswa.2021.115454 |
_version_ |
1748180452488773632 |
score |
13.211869 |