Strategy and Realization for Obstacle Avoidance of Wheeled Mobile Robots Based on Dynamic Modeling

Article Preview

Abstract:

Wheeled mobile robot is a typical non-integral system. The non-integral constraints of the system make the dynamics modeling and trajectory tracing more difficult. In the study and development of a wheeled mobile robot prototype SDLG-C, aiming at the characteristics of the non-integral constraints, the dynamics model has been built with the Newton-Euler method by directly integrate the non-integral constraints into the dynamics equations. Consequently, the Obstacle avoidance effects of the high frequency disturbance on the performances of the control system have been eliminated. Based on the behavior–based robot control technology, the intelligent avoiding barriers control system design of an autonomous mobile robot is presented. And the implementation technology of this scheme is introduced; Simulations and experiments are processed to evaluate the proposed algorithm. Both of them have successfully verified the feasibility of the modeling and the effectiveness of the Obstacle avoidance strategy.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 255-260)

Pages:

4155-4160

Citation:

Online since:

May 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Jae Heon Chung,Byung-Ju Yi. Whee Kuk Kim,and Seog-Young Han, Singularity-Free Dynamic Modeling Including Wheel Dynamics for an Omni-Directional Mobile Robot with Three Caster Wheels, International Journal of Control, Automation, and Systems, Vol.6 No.1, 2008:[86-100]

DOI: 10.1109/robot.2003.1241647

Google Scholar

[2] Chih-Yang Chen,Tzuu-Hseng S.Li. Design and implementation of an adaptive sliding-mode dynamic controller for wheeled mobile robots, Mechatronics, Vol. 19, No.2, 2009:[156-166].

DOI: 10.1016/j.mechatronics.2008.09.004

Google Scholar

[3] Li Lei .Behavior-based navigation control of wheeled mobile robot[J],Control and Decision,Vol.19 No.6 2004 6:[707-710]

Google Scholar

[4] BROOKS R A.Intelligent without representation[J],Artificial Intelligent,1991,4:[139-159].

Google Scholar

[5] Joseph L Jones Robot Programming—A-Practical Guide to Behavior-Based Robotics[M]BeiJing China Machine Press 2006 3:[660-668]

Google Scholar

[6] Xu Jiangwei,Yue Hong Robot behavior control based on visual and ultrasonic information[J] Chinese Journal of Scientific Inst rument Vol.27 No.7 2006,7:[734-738].

Google Scholar