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

  • Leszek Rutkowski
  • Andrzej Przybył
  • Krzysztof Cpałka
  • Meng Joo Er
Conference paper

DOI: 10.1007/978-3-642-13232-2_79

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6114)
Cite this paper as:
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

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Leszek Rutkowski
    • 1
    • 2
  • Andrzej Przybył
    • 2
  • Krzysztof Cpałka
    • 1
    • 2
  • Meng Joo Er
    • 3
  1. 1.Academy of Management (SWSPiZ), Institute of Information TechnologyPoland
  2. 2.Department of Computer EngineeringCzestochowa University of TechnologyPoland
  3. 3.School of Electrical and Electronic EngineeringNanyang Technological UniversitySingapore

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