Chapter

Artifical Intelligence and Soft Computing

Volume 6114 of the series Lecture Notes in Computer Science pp 645-650

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

  • Leszek RutkowskiAffiliated withAcademy of Management (SWSPiZ), Institute of Information TechnologyDepartment of Computer Engineering, Czestochowa University of Technology
  • , Andrzej PrzybyłAffiliated withDepartment of Computer Engineering, Czestochowa University of Technology
  • , Krzysztof CpałkaAffiliated withAcademy of Management (SWSPiZ), Institute of Information TechnologyDepartment of Computer Engineering, Czestochowa University of Technology
  • , Meng Joo ErAffiliated withSchool of Electrical and Electronic Engineering, Nanyang Technological University

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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.