Online speed profile generation for industrial machine tool based on neuro-fuzzy approach

Authors:
Leszek Rutkowski;Andrzej Przybył;Krzysztof Cpałka;Meng Joo Er
Affiliations:
Academy of Management, SWSPiZ, Institute of Information Technology, Poland and Czestochowa University of Technology, Department of Computer Engineering, Poland;Czestochowa University of Technology, Department of Computer Engineering, Poland;Academy of Management, SWSPiZ, Institute of Information Technology, Poland and Czestochowa University of Technology, Department of Computer Engineering, Poland;Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
Venue:
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Year:
2010

Citing 4
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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 neurofuzzy 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.