Neural network algorithm for workspace analysis of a parallel mechanism

Purpose - This paper aims to combine and further develop different mathematical models of the workspace representation of 6 degrees of freedom parallel mechanisms and to bring a new point of view to existing workspace analysis methods through using neural networks (NN). Design/methodology/approach - For the orientation workspace of the 6-3 SPM, discretization method is used which is based on Euler angles and the NN algorithm is applied. Findings - The workspace analysis is carried out in the direction perpendicular to the moving platform which is the most workable direction of 6-3 Stewart platform mechanisms and NN algorithm has decreased processing time. Originality/value - The determination of thepoint, on that direction, at which the workspace is maximum, is outlined. It is the first time that the NN is used for classification of workspace of a parallel manipulator.