Method and system for process control with complex inference mec

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364513, 364200, 3642752, 3642743, G06F 1500

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050519328

ABSTRACT:
A process control system for controlling a process exhibiting both linear behavior and non-linear behavior with a plurality of control quantities has a knowledge base storing therein universal facts, production rules including expert's empirical rules, meta rules describing flows of inferences, algorithm methods by mathematical expressions and membership functions referenced in fuzzy inference and a complex inference mechanism. The complex inference mechanism is composed of a complex fuzzy mechanism for inferring directly predicted values on a multi-dimensional space generated by a plurality of elements for evaluation and predicted control objectives evaluated previously with fuzzy quantities, a predicting fuzzy mechanism having the input supplied with the predicted values for determining arithmetically correlation to the membership functions determined previously with the fuzzy quantities and a satisfaction grade obtained by imparting weight to the correlation for each of the control objectives to thereby determine such a combination of the control quantities for control effectors to vary the operation states thereof from the current operation states that the satisfaction grade becomes maximum, and a main inference mechanism having the input supplied with process data to thereby compare selectively the process data with the knowledge stored in the knowledge base for thereby making decision of the process behavior through a forward fuzzy inference with the aid of the production rules based on the empirical knowledge and manage the whole process control system including the complex fuzzy inference mechanism, the predicting fuzzy inference mechanism and the knowledge base. The system can be advantageously employed for intra-tunnel ventilation control and other processes exhibiting both linear and non-linear behaviors.

REFERENCES:
patent: 4591985 (1986-05-01), Tsuji
patent: 4626992 (1986-12-01), Greaves et al.
patent: 4649515 (1987-03-01), Thompson et al.
patent: 4697243 (1987-09-01), Moore et al.
patent: 4754410 (1988-06-01), Leech et al.
patent: 4803642 (1988-02-01), Muranaga
patent: 4842342 (1989-06-01), Takahashi et al.
patent: 4860213 (1989-08-01), Bonissone
Larsen, P. M., "Industrial Applications of Fuzzy Logic Control", Int. J. Man-Machine Studies, vol. 12, pp. 3-10, 1980.
Knight et al., "The Use of Expert Systems in Industrial Control", Measurement and Control, vol. 17, pp. 409-413, Dec./Jan. 1984/5.
Maiers et al., "Applications of Fuzzy Set Theory", IEEE Trans. on Systems, Man, and Cybernetics, vol. SMC-15, No. 1, pp. 175-189, Jan./Feb. 1985.
Moore, R. L., "Expert Systems in On-Line Process Control", 1987.
Zadeh, L. A., "Making Computers Think Like People", IEEE Spectrum, Aug. 1984, pp. 26-32.
Zadeh, L. A., "Fuzzy Logic", IEEE Computer, Apr. 1988, pp. 83-93.
McCusker, T., "Neural Networks and Fuzzy Logic, Tools of Promise for Controls", Control Engineering, May 1990, pp. 84-85.
Tominaga, Y., "Application of Fuzzy Reasoning to Mine Ventilation Control", Proceedings of 3rd. Mine Ventilation Symposium, pp. 2-14, Oct. 1987.
"Collection of Articles and Report Published by Japan Society of Civil Engineers", No. 265, 1977, (no translation).

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