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Online Speed Profile Generation for Industrial Machine Tool Based on Neuro-fuzzy Approach

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Artifical Intelligence and Soft Computing (ICAISC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6114))

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Abstract

The paper presents the online smooth speed profile generator used in trajectory interpolation in milling machines. Smooth kinematics profile is obtained by imposing limit on the jerk - which is the first derivative of acceleration. This generator is based on the neuro-fuzzy look-ahead function and is able to adapt online the actual feedrate to changing external conditions. Such an approach improves the machining quality, reduces the tools wear and shortens total machining time.

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Rutkowski, L., Przybył, A., Cpałka, K., Er, M.J. (2010). Online Speed Profile Generation for Industrial Machine Tool Based on Neuro-fuzzy Approach. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artifical Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13232-2_79

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  • DOI: https://doi.org/10.1007/978-3-642-13232-2_79

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13231-5

  • Online ISBN: 978-3-642-13232-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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