Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/40858
Title: Intelligent forecasting compensatory control system for profile machining
Authors: Fung, EHK
Chuen, CW
Lee, LM
Keywords: Control systems
Issue Date: 2000
Publisher: SPIE-International Society for Optical Engineering
Source: Proceedings of SPIE : the International Society for Optical Engineering, 2000, v. 4192, 36 How to cite?
Journal: Proceedings of SPIE : the International Society for Optical Engineering 
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.
Description: Conference on Intelligent Systems in Design and Manufacturing III, Boston, Massachusetts, USA, 6-8 November, 2000
URI: http://hdl.handle.net/10397/40858
ISBN: 9.78082E+12
ISSN: 0277-786X
EISSN: 1996-756X
DOI: 10.1117/12.403684
Appears in Collections:Conference Paper

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