Abstract
The multiple performances of manufacturing systems are given by applying theoretical/heuristic knowledge to hierarchical control loop in various ways. It is shown that the energy consumption of motor control, the operation speed of path control, the cost-performance/productivity of machining control, and the margin to the due dates of intelligent machines are significantly improved by using the knowledge of electromagnetism, dynamics, machining and scheduling, respectively, with sensor signals in the system.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Watanabe, T., Kawata, K., and Tetsuya, K., A sliding mode control intelligent servo system to improve the path accuracy and power consumption of robot manipulators, Proc. of Japan-U.S.A. Flexible Automation Symposium, JAACE (1986), pp. 195–207.
Watanabe, T., Nakajima, H., and Kawata, K., Intelligent manipulator control improving hand path accuracy and energy consumption, Preprint of 3rd Int. Conf. on System Research, Informatics and Cybernetics, 1986.
Watanable, T., Real time programming of computer numerical control of a machine tool in CAM, Proc. IFAC/IFIP Workshop on Real Time Programming 1981 (ed. T. Hasegawa), Pergamon press (1981), pp. 93–100.
WatanableT., KametaniM., KawataK., and TetsuyaK., Improvement in the computing time of robot manipulators using a multi-microprocessor, Trans. ASME, J. DSMC 108, 190–197 (1986).
DaneshmendL.K., and PakH.A., Model reference adaptive control of feed force in turning, Trans. ASME, J. DSMC 108, 215–222 (1986).
Stute, G., and Goetz, F.R., Adaptive control system for variable gain in ACC systems, Proc. 16th Int. Machine Tool Design and Research Conf. (1975), pp. 117–121.
UlsoyA., KorenY., and RasmussenF., Principal developments in the adaptive control of machine tools, Trans. ASME, J. DSMC 105, 107–112 (1983).
TomizukaM., OhJ.H., and DornfeldD.A., Model reference adaptive control of the milling process, in Control of Manufacturing Processes and Robotics Systems (eds. D.E.Hardt and W.J.Book), ASME, New York (1983) pp. 55–63.
Watanable, T., Designs of an adaptive control constraint system of a milling machine tool, Proc. IFAC International Symp. on CAD of Multivariable Technological Systems (ed. G.G. Leininger), Pergamon Presss (1982) pp. 515–526.
WatanableT., A control system to improve the accuracy of finished surface in milling, Trans. ASME, J. DSMC 105, 192–199 (1983).
WatanabeT., Model based approach to adaptive control optimization for milling, Trans. ASME, J. DSMC 108, 56–64 (1986).
Centner, R.M., and Idelson, J.M., Adaptive controller for a metal cutting process, Proc. IEEE ASME Joint Automatic Control Conference (1964) pp. 154–161.
Centner, R.M., Development of an adaptive control technique for numerically controlled milling machines, Technical Documentary Report of USAF, MLTDR-64-279 (MM Project No. 7-713) (1964).
WatanabeT., and SakamotoM., On-line scheduling for adaptive control machine tools in FMS, Robotics and Computer Integrated Manufacturing 2, 65–73 (1986).
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Watanabe, T. Intelligent control in the hierarchy of automatic manufacturing systems. J Intell Robot Syst 2, 171–186 (1989). https://doi.org/10.1007/BF00238687
Received:
Issue Date:
DOI: https://doi.org/10.1007/BF00238687