Discrete-time adaptive control of milling forces using fractional order holds by on-line adjustment of the correcting gain

Increasing industrial competence suggests to develop and implement more complex control strategies in manufacturing environments for achieving better performance requirements. In this paper, a multi-estimation scheme for adaptive discrete control is applied to a practical milling system in order to minimize process and machine malfunctions. The different models of the scheme to be estimated are obtained from a set of a continuous unknown milling system transfer function under a fractional order hold of correcting gain beta isin [-1,1] (beta -FROH) . The objective is to design a scheme which is able to find the best value for the gain beta within a predetermined set in order to generate the real control input to the plant. A tracking performance index evaluates the tracking error and the scheme chooses the one with the smallest value has at each multiple of the residence time.

[1]  A. Galip Ulsoy,et al.  Model Reference Adaptive Force Control in Milling , 1989 .

[2]  M. DE LA SEN,et al.  A multiestimation scheme for discrete adaptive control , 2002 .

[3]  Kumpati S. Narendra,et al.  Adaptive control using multiple models , 1997, IEEE Trans. Autom. Control..

[4]  A. Galip Ulsoy,et al.  A comparison of model-based machining force control approaches , 2004 .

[5]  C.C.H. Ma,et al.  Direct Adaptive Control of Milling Force , 1990, Proceedings of the IEEE International Workshop on Intelligent Motion Control.

[6]  Yusuf Altintas,et al.  Prediction of Cutting Forces and Tool Breakage in Milling from Feed Drive Current Measurements , 1992 .

[7]  Ali Galip Ulsoy,et al.  DYNAMIC MODELING FOR CONTROL OF THE MILLING PROCESS. , 1985 .

[8]  Ibrahim N. Tansel,et al.  Detection of tool breakage in milling operations-I , 1993 .

[9]  Kumpati S. Narendra,et al.  Improving transient response of adaptive control systems using multiple models and switching , 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

[10]  Yusuf Altintas,et al.  CAD Assisted Adaptive Control for Milling , 1991 .

[11]  Luis Rubio,et al.  Discrete-Time Model Reference Control of Milling Forces under Fractional Order Holds. Part II: Extensions to Adaptive Control , 2006, 2006 IEEE Conference on Emerging Technologies and Factory Automation.

[12]  Y. H. Peng.  On the performance enhancement of self-tuning adaptive control for time-varying machining processes , 2004 .