In this paper a new approach to dynamic optimization of a rough terrain rover 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. The present work resulted in design and manufacturing of the optimized rover called CEDRA-II Shrimp Rover. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Nia, H. T., Alemohammad, S. H., Bagheri, S., Khiabani’, R. H., & Meghdari, A. (2006). Design, dynamic analysis and optimization of a Rover for rescue operations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4020 LNAI, pp. 290–300). Springer Verlag. https://doi.org/10.1007/11780519_26
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