Optimal design of link systems using successive zooming genetic algorithm

Young-Doo Kwon; Chang-hyun Sohn; Soon-Bum Kwon; Jae-gyoo Lim

doi:10.1117/12.843396

20 October 2009 Optimal design of link systems using successive zooming genetic algorithm

Young-Doo Kwon, Chang-hyun Sohn, Soon-Bum Kwon, Jae-gyoo Lim

Proceedings Volume 7493, Second International Conference on Smart Materials and Nanotechnology in Engineering; 749317 (2009) https://doi.org/10.1117/12.843396
Event: Second International Conference on Smart Materials and Nanotechnology in Engineering, 2009, Weihai, China

Abstract

Link-systems have been around for a long time and are still used to control motion in diverse applications such as automobiles, robots and industrial machinery. This study presents a procedure involving the use of a genetic algorithm for the optimal design of single four-bar link systems and a double four-bar link system used in diesel engine. We adopted the Successive Zooming Genetic Algorithm (SZGA), which has one of the most rapid convergence rates among global search algorithms. The results are verified by experiment and the Recurdyn dynamic motion analysis package. During the optimal design of single four-bar link systems, we found in the case of identical input/output (IO) angles that the initial and final configurations show certain symmetry. For the double link system, we introduced weighting factors for the multi-objective functions, which minimize the difference between output angles, providing balanced engine performance, as well as the difference between final output angle and the desired magnitudes of final output angle. We adopted a graphical method to select a proper ratio between the weighting factors.

Citation Download Citation

Young-Doo Kwon, Chang-hyun Sohn, Soon-Bum Kwon, and Jae-gyoo Lim "Optimal design of link systems using successive zooming genetic algorithm", Proc. SPIE 7493, Second International Conference on Smart Materials and Nanotechnology in Engineering, 749317 (20 October 2009); https://doi.org/10.1117/12.843396

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