CFP last date
20 December 2024
Reseach Article

Intelligent Mobile Robot using Simplorer Simulator

by Karim Jaber, Chokri Abdelmoula, Ahmed Fakfah, Rafik Neji
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 1
Year of Publication: 2014
Authors: Karim Jaber, Chokri Abdelmoula, Ahmed Fakfah, Rafik Neji
10.5120/15466-3936

Karim Jaber, Chokri Abdelmoula, Ahmed Fakfah, Rafik Neji . Intelligent Mobile Robot using Simplorer Simulator. International Journal of Computer Applications. 89, 1 ( March 2014), 19-24. DOI=10.5120/15466-3936

@article{ 10.5120/15466-3936,
author = { Karim Jaber, Chokri Abdelmoula, Ahmed Fakfah, Rafik Neji },
title = { Intelligent Mobile Robot using Simplorer Simulator },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 1 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 19-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number1/15466-3936/ },
doi = { 10.5120/15466-3936 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:08:07.279766+05:30
%A Karim Jaber
%A Chokri Abdelmoula
%A Ahmed Fakfah
%A Rafik Neji
%T Intelligent Mobile Robot using Simplorer Simulator
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 1
%P 19-24
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This work describes the design and development of intelligent algorithm applied to a newly designed mobile robot type-vehicle to control actions in autonomous navigation. A novel approach has been developed and optimized to achieve several tasks in a dynamic environment. This control algorithm combine's different sensory information and provides command to reach the true position. The system was described in the VHDL-AMS language. Simulation results are presented and implemented with VHDL-AMS on an FPGA development card type cyclone II. All simulations are compared with a designed algorithm using all resource values.

References
  1. A. New, W. Aung, and Y. Myint, "Software implementation of obstacle detection and avoidance system for wheeled mobile robot," In Proc. World Academy of Science, Engineering, and Technology, Vol. 18, pp. 563–568, Jui. 2008.
  2. J. Shen and H. Hu, "A Matlab-based Simulator for Autonomous Mobile Robots"; 3rd Innovative Production Machines and Systems Virtual International Conference, pp. 2–13, Jul. 2007.
  3. I. Alsonosi, "Low Cost Obstacle Detection System for Wheeled Mobile Robot"; UKACC International Conference on Control 2012, Cardiff, UK, pp. 3–5, Sep. 2012
  4. I. Levin, E. Kolberg and Y. Reich, "Robot Control Teaching with a State Machine-based Design Method"; International Journal of Engineering Education, Vol. 20, no. 2, pp. 1–10, 2004.
  5. A. Z. Mansoor, M. R. Khalil and O. A. Jasim, "Position Control of DC Servo Motrs using Soft-core Processor on FPGA to Move Robot ARM"; Journal of Theoretical and Applied Information Technology, Vol. 32, no. 1, pp. 99–106, Oct. 2011.
  6. C. Abdelmoula, F. Chaari and M. Masmoudi,"A new design of a robot prototype for intelligent navigation and parallel parking", Journal of Automation, Mobile Robotics and Intelligent Systems, Vol. 3, no. 2, pp. 47– 58, Mar. 2009.
  7. C. Abdelmoula, H. Rouabeh and M. Masmoudi, "Behavior Control of a New Designed Mobile Robot Based on Fuzzy Logic and Neuro Fuzzy Approaches for MonitoringWall"; International Journal of Intelligent Engineering and Systems, Vol. 6, no. 3, pp. 17–26, Sep. 2013.
  8. S. I. Amer , M. N. Eskander and A. M. Zaki, "Positioning And Motion Control For Mobile Robot"; International Journal of Emerging Technology and Advanced Engineering, Vol. 2, no. 11, pp. 498–504, Nov. 2012.
  9. T. E. McDermott, R. Juchem and D. Devarajan, "Distribution Feeder and Induction Moto Modeling with VHDL-AMS", 2006 IEEE/PES T&D Conference and Exposition Proceedings, 21–26 May 2006, Dallas.
  10. A. Fakhfakh, S. Feki, Y. Hevé, A. Walha and N. Masmoudi, "Virtual prototyping in power electronics using VHDL-AMS application to the direct torque control optimisation", Journal of Applied Sciences, vol. 6, no. 3, pp. 572–579, Jan. 2006.
  11. S. Kale and S. S. Shriramwar, "FPGA-based Controller for a Mobile Robot"; (IJCSIS) International Journal of Computer Science and Information Security, Vol. 3, no. 1, July. 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Mobile Robot FPGA Autonomous navigation VHDL AMS.