Intelligent forecasting compensatory control system for profile machining

Eric H. K. Fung; C. W. Chuen; L. M. Lee

doi:10.1117/12.403684

13 October 2000 Intelligent forecasting compensatory control system for profile machining

Eric H. K. Fung, C. W. Chuen, L. M. Lee

Proceedings Volume 4192, Intelligent Systems in Design and Manufacturing III; (2000) https://doi.org/10.1117/12.403684
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States

Abstract

Precision machining is becoming increasingly important in modern industry because many modern products require high form accuracy. An affordable approach to improve the accuracy of the surface profile of a workpiece is to adopt the on-line error forecasting and compensation control (FCC) techniques. In the present study, the consideration of variation of cutting force as a result of piezoactuator movement requires the formulation of ARMAX models. The time-series analysis based on ARMAX technique has an advantage over the traditional spectral method in that the latter can lead to the over-parameterization of the accompanying model. The roundness measurement results obtained from the practical experiments and the derived improvement percentages are grouped under one or more of the system parameters which include the ARMAX orders, feed rate, depth of cut, material, and forgetting factor. An expert system has been successfully developed to implement the rules using the Prolog language for helping the users to select suitable parameters for the FCC system of the lathe machine. Based on the measurement data, it can be shown that the lathe machine, when equipped with the ARMAX-based FCC system, can yield a minimum value of average improvement of 26% under the testing conditions.

Citation Download Citation

Eric H. K. Fung, C. W. Chuen, and L. M. Lee "Intelligent forecasting compensatory control system for profile machining", Proc. SPIE 4192, Intelligent Systems in Design and Manufacturing III, (13 October 2000); https://doi.org/10.1117/12.403684

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