Comparative study of ANN and ANFIS predprediction models for thermal error compensation on CNC machine tools

A. Abdulshahed, A. Longstaff, S. Fletcher, A. Myers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Thermal errors can have significant effects on CNC machine tool accuracy. The errors usually come from thermal deformations of the machine elements created by heat sources within the machine structure or from ambient change. The performance of a thermal error compensation system inherently depends on the accuracy and robustness of the thermal error model. In this paper, Adaptive Neuro Fuzzy Inference System (ANFIS), Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) techniques were employed to design four thermal prediction models: ANFIS by dividing the data space into rule patches (ANFIS-Scatter partition model); ANFIS by dividing the data space into rectangular sub-spaces (ANFIS-Grid partition model); ANN with a back-propagation algorithm (ANN-BP model) and ANN with a PSO algorithm (ANN-PSO model). Grey system theory was also used to obtain the influence ranking of the input sensors on the thermal drift of the machine structure. Four different models were designed, based on the higher-ranked sensors on thermal drift of the spindle. According to the results, the ANFIS models are superior in terms of the accuracy of their predictive ability; the results also show ANN-BP to have a relatively good level of accuracy. In all the models used in this study, the accuracy of the results produced by the ANFIS models was higher than that produced by the ANN models.

Original languageEnglish
Title of host publicationLaser Metrology and Machine Performance X
Subtitle of host publication10th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2013
EditorsLiam Blunt
Publishereuspen
Pages79-89
Number of pages11
ISBN (Print)9780956679017
Publication statusPublished - 1 Mar 2013
Event10th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance - Buckinghamshire, United Kingdom
Duration: 20 Mar 201321 Mar 2013
Conference number: 10

Conference

Conference10th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance
Abbreviated titleLAMDAMAP 2013
CountryUnited Kingdom
CityBuckinghamshire
Period20/03/1321/03/13

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  • Cite this

    Abdulshahed, A., Longstaff, A., Fletcher, S., & Myers, A. (2013). Comparative study of ANN and ANFIS predprediction models for thermal error compensation on CNC machine tools. In L. Blunt (Ed.), Laser Metrology and Machine Performance X : 10th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2013 (pp. 79-89). euspen. http://eprints.hud.ac.uk/id/eprint/17011/