An Online Modeling Method for Real-Time Thermal Error Compensation on High-Speed Machines Based on RBF Neural Network Theory

Abstract:

This paper studies the modeling method based on RBF (Radial-Basis Function) neural network according to its learning ability, and a new neural network online model has been set up. The comparison and analysis result of the case studies shows that, when changing the working condition, the compensation effect of online modeling method is better than offline modeling method and the online model can better reflect the thermal characteristics of High-speed machine tool.

• Periodical: Key Engineering Materials (Volume 455)
• Pages: 606-611
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.455.606
• Online since: December 2010
• Authors: Hong Tao Zhang, Hui Jiang, Jian Guo Yang
• Keywords: High-Speed Machine Tool, Neural Network (NN), Online Modeling, Real-Time Compensation, Thermal Error

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