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...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publications Inc.
2019
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/24920/1/A%20simulation%20and%20experimental%20study%20on%20wheeled%20mobile.pdf http://umpir.ump.edu.my/id/eprint/24920/ https://doi.org/10.1177/1729881419834778 https://doi.org/10.1177/1729881419834778 |
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Institution: | Universiti Malaysia Pahang |
Language: | English |
Summary: | 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. |
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