OPTIMAL LOCATION OF WORK PIECE FOR HEXAPOD MACHINE TOOLS USING PARTICLE SWARM OPTIMIZATION (PSO) ALGORITHM

摘要

The workspace and stiffness of hexapod machine tool are configuration dependent and vary dynamically. Hence, work piece is to be located in such a way that the hexapod will have high stiffness and required workspace area. This paper presents a methodology for finding the maximum stiffness of the hexapod machine tool, which in turn can be used to find the optimal location of the work piece. For finding the location of maximum stiffness, Particle Swarm Optimization (PSO) algorithm is used.