A simulation and experimental study on wheeled mobile robot path control in road roundabout environment
A robust control algorithm for tracking a wheeled mobile robot navigating in a pre-planned path while passing through the road’s roundabout environment is presented in this article. The proposed control algorithm is derived from both the kinematic and dynamic modelling of a non-holonomic wheeled mob...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publications Inc.
2019
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/24920/ http://umpir.ump.edu.my/id/eprint/24920/ http://umpir.ump.edu.my/id/eprint/24920/ http://umpir.ump.edu.my/id/eprint/24920/1/A%20simulation%20and%20experimental%20study%20on%20wheeled%20mobile.pdf |
| id |
ump-24920 |
|---|---|
| recordtype |
eprints |
| spelling |
ump-249202019-10-14T04:31:27Z http://umpir.ump.edu.my/id/eprint/24920/ A simulation and experimental study on wheeled mobile robot path control in road roundabout environment Ali, Mohammed A. H. Mailah, Musa TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures A robust control algorithm for tracking a wheeled mobile robot navigating in a pre-planned path while passing through the road’s roundabout environment is presented in this article. The proposed control algorithm is derived from both the kinematic and dynamic modelling of a non-holonomic wheeled mobile robot that is driven by a differential drive system. The road’s roundabout is represented in a grid map and the path of the mobile robot is determined using a novel approach, the so-called laser simulator technique within the roundabout environment according to the respective road rules. The main control scheme is experimented in both simulation and experimental study using the resolved-acceleration control and active force control strategy to enable the robot to strictly follow the predefined path in the presence of disturbances. A fusion of the resolved-acceleration control–active force control controller with Kalman Filter has been used empirically in real time to control the wheeled mobile robot in the road’s roundabout setting with the specific purpose of eliminating the noises. Both the simulation and the experimental results show the capability of the proposed controller to track the robot in the predefined path robustly and cancel the effect of the disturbances. SAGE Publications Inc. 2019-03-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24920/1/A%20simulation%20and%20experimental%20study%20on%20wheeled%20mobile.pdf Ali, Mohammed A. H. and Mailah, Musa (2019) A simulation and experimental study on wheeled mobile robot path control in road roundabout environment. International Journal of Advanced Robotic Systems, 16 (2). pp. 1-17. ISSN 1729-8806 https://doi.org/10.1177/1729881419834778 https://doi.org/10.1177/1729881419834778 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures |
| spellingShingle |
TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Ali, Mohammed A. H. Mailah, Musa A simulation and experimental study on wheeled mobile robot path control in road roundabout environment |
| description |
A robust control algorithm for tracking a wheeled mobile robot navigating in a pre-planned path while passing through the road’s roundabout environment is presented in this article. The proposed control algorithm is derived from both the kinematic and dynamic modelling of a non-holonomic wheeled mobile robot that is driven by a differential drive system. The road’s roundabout is represented in a grid map and the path of the mobile robot is determined using a novel approach, the so-called laser simulator technique within the roundabout environment according to the respective road rules. The main control scheme is experimented in both simulation and experimental study using the resolved-acceleration control and active force control strategy to enable the robot to strictly follow the predefined path in the presence of disturbances. A fusion of the resolved-acceleration control–active force control controller with Kalman Filter has been used empirically in real time to control the wheeled mobile robot in the road’s roundabout setting with the specific purpose of eliminating the noises. Both the simulation and the experimental results show the capability of the proposed controller to track the robot in the predefined path robustly and cancel the effect of the disturbances. |
| format |
Article |
| author |
Ali, Mohammed A. H. Mailah, Musa |
| author_facet |
Ali, Mohammed A. H. Mailah, Musa |
| author_sort |
Ali, Mohammed A. H. |
| title |
A simulation and experimental study on wheeled mobile robot path control in road roundabout environment |
| title_short |
A simulation and experimental study on wheeled mobile robot path control in road roundabout environment |
| title_full |
A simulation and experimental study on wheeled mobile robot path control in road roundabout environment |
| title_fullStr |
A simulation and experimental study on wheeled mobile robot path control in road roundabout environment |
| title_full_unstemmed |
A simulation and experimental study on wheeled mobile robot path control in road roundabout environment |
| title_sort |
simulation and experimental study on wheeled mobile robot path control in road roundabout environment |
| publisher |
SAGE Publications Inc. |
| publishDate |
2019 |
| url |
http://umpir.ump.edu.my/id/eprint/24920/ http://umpir.ump.edu.my/id/eprint/24920/ http://umpir.ump.edu.my/id/eprint/24920/ http://umpir.ump.edu.my/id/eprint/24920/1/A%20simulation%20and%20experimental%20study%20on%20wheeled%20mobile.pdf |
| first_indexed |
2023-09-18T22:37:58Z |
| last_indexed |
2023-09-18T22:37:58Z |
| _version_ |
1777416723712966656 |