×

On a supervisory system for cutting processes. (English) Zbl 0578.90034

Described are the basic ideas necessary in constructing an intelligent hierarchical supervisory system for cutting (machining) processes with a human boss at the top. First, definitions of the cutting condition space and the cutting state space are given as Euclidean spaces. Then fuzziness is introduced for the evaluation of the cutting state. A good cutting state is defined as a fuzzy set with the degree of membership of each point in the cutting state space. More essential vagueness lies in the ambiguity in understanding the correspondence between the cutting condition and the cutting state. This correspondence is described as a mapping, and the cause of such vagueness is analysed based on the following hypothesis. A man can only grasp a local region surrounding a specific point in the cutting state space, and hence linearization is made around that particular point (a local grasp). A global grasp can be achieved as the patched whole of such small, subjective, and linearized neighborhoods by taking tangents.

MSC:

90B30 Production models
93A13 Hierarchical systems
PDFBibTeX XMLCite
Full Text: DOI

References:

[1] Novak, A., The concept of artificial intelligence in unmanned production — Application of adaptive control, (Proceedings of the 2nd International Conference on Flexible Manufacturing Systems. Proceedings of the 2nd International Conference on Flexible Manufacturing Systems, London (Oct. 1983)), 669-680
[2] Sakai, Y.; Nakato, T.; Ohkusa, K., Identification and failure-detection system for cutting process, (Proceedings of IMEKO TC14 International Symposium on Metrology for Quality Control in Production. Proceedings of IMEKO TC14 International Symposium on Metrology for Quality Control in Production, Tokyo (July 1984)), 62-67
[3] Mamdani, E. H., Application of fuzzy logic to approximate reasoning using linguistic synthesis, IEEE Trans. Comput., 26, 1182-1191 (1977) · Zbl 0397.94025
[4] Cheng, W. M.; Ren, S. J.; Wu, C. F.; Tsuei, T. H., An expression for fuzzy controller, (Gupta, M. M.; Sanchez, E., Fuzzy Information and Decision Processes (1982), North-Holland: North-Holland Amsterdam), 411-413
[5] Sakai, Y.; Ohkusa, K., On a control system for cutting process, (Proceedings of 16th CIRP International Seminar on Manufacturing Systems. Proceedings of 16th CIRP International Seminar on Manufacturing Systems, Tokyo (July 1984)), 188-195 · Zbl 0578.90034
[6] Zadeh, L. A., Outline of a new approach to the analysis of complex systems and decision processes, IEEE Trans. Systems Man Cybernet., 3, 28-44 (1973) · Zbl 0273.93002
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.