Abstract
An iterative error compensation approach is proposed in this article to improve the accuracies of high speed, computer-controlled machining processes. It is well known that the high-speed computer-numerically-controlled (CNC) machines are extremely useful in terms of manufacturing mass-produced parts. The proposed method uses an iterative learning technique that adopts the servo commands and cutting error experienced in previous maneuvers as references to current compensative actions. Moreover, non-repetitive disturbances and nonlinear dynamics of the cutting processes, and servo systems of the CNC machine that greatly affect the convergence of the learning-control systems were also studied in this research. State feedback and output feedback techniques were adopted in the proposed controller design. In addition to the stability analysis, a 1 degree-of-freedom servo positioning system is constructed to evaluate the performance of our proposed learning control approach. Both the simulation and experimental results verify the effectiveness of our approach.
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Hsu, KS., Her, MG. & Cheng, MY. Analysis and experiments of iterative learning-control system with uncertain dynamics. Int J Adv Manuf Technol 25, 1119–1129 (2005). https://doi.org/10.1007/s00170-003-1949-7
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DOI: https://doi.org/10.1007/s00170-003-1949-7