The Synthesis of Planar Parallel Manipulators with a Genetic Algorithm

[+] Author and Article Information
R. Boudreau

École de génie, Université de Moncton, Moncton, N.B., Canada E1A 3E9 (506) 858-4300

C. M. Gosselin

Département de génie mécanique, Université Laval, Québec, Québec G1K 7P4

J. Mech. Des 121(4), 533-537 (Dec 01, 1999) (5 pages) doi:10.1115/1.2829494 History: Received July 01, 1998; Revised July 01, 1999; Online December 11, 2007


This paper presents a genetic algorithm approach for the synthesis of planar three-degree-of-freedom parallel manipulators. A genetic algorithm is an optimization method inspired by natural evolution. As in nature, the fittest members of a population are given better chances of reproducing and transmitting part of their genetic heritage to the next generation. This leads to stronger and stronger generations which evolve towards the solution of the problem. For the applications studied here, the individuals in the population consist of the architectural parameters of the manipulators. The algorithm optimizes these parameters to obtain a workspace as close as possible to a prescribed working area. For each individual of the population, the geometric description of the workspace can be obtained. The algorithm then determines the intersection between the prescribed workspace and the actual workspace, and minimizes the area of the regions that do not intersect. The method is applied to two planar three-degree-of-freedom parallel manipulators, one with prismatic joints and one with revolute joints.

Copyright © 1999 by The American Society of Mechanical Engineers
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