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Intelligent Multi-Axis Motion Control for Machine Tool Systems
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English
Abstract
This paper deals with a new multi-axis motion control method for high performance machine tool systems. The intelligent multi-axis motion control system proposed is mainly composed of a multi-axis motion trajectory monitoring system and an intelligent compensator with dynamic gain control. The multi-axis motion trajectory monitoring system calculates the motion trajectory error of all axes. The intelligent compensator with the dynamic gain control dynamically changes the servo gain to prevent a motion error from happening. A feasibility verification of the system is conducted on an actual CNC machining center. It is found that the new control method could improve the motion trajectory accuracy of the axes greatly. The control concept, system design, system implementation as well as the feasibility study of this new control system are described.
Authors
Citation
Liu, J., Yokoyama, Y., Yamazaki, K., and Lee, S., "Intelligent Multi-Axis Motion Control for Machine Tool Systems," SAE Technical Paper 981858, 1998, https://doi.org/10.4271/981858.Also In
References
- Srinivasan K. Tsao Tsu Chin 1997 “Machine tool Feed Drive and Their Control - A Survey of the State of the Art,” ASME Journal of Manufacturing Science and Engineering November 119 743 748
- Poo, A. N. Bollinger, J. Younkin, G. W. 1972 “Dynamic Error in Type 1 Contouring Systems,” IEEE Transsactions on Industrial Applications IA-8 4 477 484
- Tung, E.D. Tomizuka, M. 1993 “Feedforward Tracking Controller Design Based on the Identification of Low Frequency Dynamics,” ASME Journal of Dynamic Systems, Measurement, and Control 115 Sept. 348 356
- Koren, Y. Lo, C.C. 1992 “Advanced Controllers for Feed Drives,” Annals of the CIRP 41 2 Aug. 1 10
- Kulkarni, P.K. Srinivasan, K. 1984 “Identification of Discrete Time Dynamic Models for Machine Tool Feed Drives,” ASME Symposium on sensor and Controls for Automated Manufacturing and Robotics, ASME Winter Annual Meeting New Orleans 1 20
- Tsutsumi M. Ohtomo S. Okazaki Y. Sakai K. Yamazaki K. Ge D. 1995 “Mathematical Model of Feed Drive Mechanical System and Friction for CNC Machine Tools,” Journal of Japan Society for Precision Engineering 61 10 1458 1463