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Rough Terrain Rovers Dynamics Analysis and Optimization

[+] Author Affiliations
Hadi Tavakoli Nia, Seyed Hamidreza Alemohammad, Saeed Bagheri, Reza Hajiaghaee Khiabani, Ali Meghdari

Sharif University of Technology, Tehran, Iran

Paper No. DETC2005-85304, pp. 903-909; 7 pages
  • ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 7: 29th Mechanisms and Robotics Conference, Parts A and B
  • Long Beach, California, USA, September 24–28, 2005
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 0-7918-4744-6 | eISBN: 0-7918-3766-1
  • Copyright © 2005 by ASME


In this paper a new approach to dynamics optimization of rough terrain rovers is introduced. Since rover wheels traction has a significant role in rover mobility, optimization is based on the minimization of traction at rover wheel-ground interfaces. The method of optimization chosen is Genetic Algorithm (GA) which is a directed random search technique along with the usual optimization based on directional derivatives. GA is a suitable and efficient method of optimization for nonlinear problems. The procedure is applied on a specific rough terrain rover called CEDRA-I Shrimp Rover. Dynamical equations are obtained using Kane’s method. Finally, the results are verified by modeling of the rover in ADAMS® software package.

Copyright © 2005 by ASME



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