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- Title
PREDICTIVE COMPENSATION OF THERMAL DEFORMATIONS OF BALL SCREWS IN CNC MACHINES USING NEURAL NETWORKS.
- Authors
Rojek, Izabela; Kowal, Michał; Stoic, Antun
- Abstract
The need to improve the accuracy of positioning of a servo-drive was the stimulus for research on a new sensorless method for compensation of thermal deformations of ball screws, enabling predictive compensation of the elongation of such a screw based on historical data. Models have been developed for the predictive compensation of thermal deformations of ball screws in CNC machines, in the form of single-directional multi-layered neural networks with error back-propagation (MLP), radial basis function neural networks (RBF) and Kohonen networks. Neural networks were developed with different structures and learning parameters, and these networks were compared. Models were evaluated in terms of the effectiveness of operation of the networks. The models were tested on real data.
- Subjects
DEFORMATIONS (Mechanics); SCREWS; NUMERICAL control of machine tools; ARTIFICIAL neural networks; SENSORLESS control systems
- Publication
Technical Gazette / Tehnički Vjesnik, 2017, Vol 24, Issue 6, p1697
- ISSN
1330-3651
- Publication type
Article
- DOI
10.17559/TV-20161207171012