Abstract
The main purpose of the paper is to develop a mathematical model that generates the optimal geometrical parameters combination for a 2-DOF parallel mechanism, and to perform a solution to generate the workspace by using neural networks as a performant alternative to the workspace representation based on inverse kinematic model. The paper describes three algorithms that lead to the final solution and an initial testing was made on a functional model of parallel mechanism.
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Acknowledgments
This paper was supported by the project “Doctoral studies in engineering sciences for developing the knowledge based society-SIDOC” contract no. POSDRU/88/1.5/S/60078, project co-funded from European Social Fund through Sectorial Operational Program Human Resources 2007–2013.
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Tanase, I., Itul, T., Campean, E., Pisla, A. (2013). Workspace Identification Using Neural Network for an Optimal Designed 2-DOF Orientation Parallel Device. In: Viadero, F., Ceccarelli, M. (eds) New Trends in Mechanism and Machine Science. Mechanisms and Machine Science, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4902-3_17
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DOI: https://doi.org/10.1007/978-94-007-4902-3_17
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