Data processing: generic control systems or specific application – Specific application – apparatus or process – Nonreactive mixing process
Reexamination Certificate
2007-12-11
2007-12-11
Cabrera, Zoila (Department: 2125)
Data processing: generic control systems or specific application
Specific application, apparatus or process
Nonreactive mixing process
C700S050000, C706S001000, C706S906000
Reexamination Certificate
active
10679084
ABSTRACT:
A system and method for tuning a raw mix proportioning controller used in a cement plant. A fuzzy logic supervisory controller tracks the performance of a cement plant simulator to target set points for attaining a correct mix and composition of raw materials. A genetic algorithm adjusts the fuzzy logic supervisory controller's performance by adjusting its parameters in a sequential order of significance.
REFERENCES:
patent: 4910684 (1990-03-01), Ostergaard et al.
patent: 5012430 (1991-04-01), Sakurai
patent: 5202954 (1993-04-01), Miyazawa et al.
patent: 5320425 (1994-06-01), Stephenson et al.
patent: 5351200 (1994-09-01), Impink, Jr.
patent: 5432885 (1995-07-01), Nomoto et al.
patent: 5571281 (1996-11-01), Allen
patent: 5584926 (1996-12-01), Borgholm et al.
patent: 5946220 (1999-08-01), Lemelson
patent: 5995737 (1999-11-01), Bonissone et al.
patent: 6033102 (2000-03-01), Morihira et al.
patent: 6041320 (2000-03-01), Qin et al.
patent: 6081796 (2000-06-01), Takagi et al.
patent: 6142771 (2000-11-01), Doumet
patent: 6330484 (2001-12-01), Qin
patent: 4204047 (1992-02-01), None
Akalp, et al., “Supervisory Fuzzy Control of a Rotary Cement Kiln”, IEEE Electrotechnical Conference, 1994, vol. 2, pp. 754-757.
Tayel, et al, “A Fuzzy Logic Controller for a Dry Rotary Cement Kiln”, IEEE Fuzzy Systems, 1997, vol. 3, pp. 1525-1531.
Naner, et al, “Real-Time Expert Production Guiding and Control System Based on Multimedia Computer Information Processing”, IEEE Intelligent Processing Systems, 1997, vol. 1. pp. 787-791.
C. Karr, “Genetic Algorithms for Fuzzy Controllers”,AI Expert, pp. 26-33, Feb. 1991.
H. Surmann, et al, “Self-Organizing and Genetic Algorithms for an Automatic Design of Fuzzy Control and Decision Systems”,© Elite-Foundation, pp. 1097-1104, Sep. 1993.
P. Bonissone, et al, “Genetic Algorithms for Automated Tuning of Fuzzy Controllers: A Transportation Application”,IEEE, pp. 674-680, 1996.
P. Bonissone, et al, “Industrial Applications of Fuzzy Logic at General Electric”,IEEE, vol. 83, No. 3, pp. 450-465, Mar. 1995.
C. Cheng, et al, A., “Fuzzy Speed Control of a Coal Train”,UKACC International Conference on Control '98, Conference Publication No. 455, pp. 525-530, 1998.
R. Subbu, et al, “Fuzzy Logic Controlled Genetic Algorithms Versus Tuned Genetic Algorithms: An Agile Manufacturing Application”,IEEE, pp. 434-440, 1998.
P. Bonissone, “Fuzzy Logic and Soft Computing: Technology Development and Applications”,General Electric CRD Publication, pp. 1-68, Mar. 12, 1997.
D. Burkhardt, et al, “Automated Fuzzy Knowledge Base Generation and Tuning”,IEEE, pp. 179-188, 1992.
O. Cordon, et al, “A Classified Review on the Combination Fuzzy Logic-Genetic Algorithms Bibliography”,Department of Computer Science and Artificial Intelligence, Technical Report #DECSAI 95129, Oct. 11, 1995, 21 Pages.
F. Herrera, et al, “Tuning Fuzzy Logic Controllers by Genetic Algorithms”,International Journal of Approximate Reasoning, North-Holland, vol. 12, Nos. 3/4, pp. 299-313, 1995.
C. Karr, et al, “Fuzzy Control of PH Using Genetic Algorithms”,IEEE Trans. on Fuzzy Sys, vol. 1, No. 1, pp. 46-53, 1993.
J. Kinzel, et al, “Modifications of Genetic Algorithms for Designing and Optimizing Fuzzy Controllers”,IEEE, pp. 28-33, 1994.
M. Lee, et al, “Integrating Design Stages of Fuzzy Systems Using Genetic Algorithms”,IEEE, pp. 612-617, 1993.
T. Takagi, et al, “Fuzzy Identification of Systems and its Applications to Modeling and Control”,IEEE, pp. 116-132, 1985.
L. Zheng, “A Practical Guide to Tune of Proportional and Integral (PI) Like Fuzzy Controllers”, IEEE, pp. 633-640, 1992.
C. Karr, “Design of an Adaptive Fuzzy Logic Controller Using a Genetic Algorithm”,US Bureau of Mines, Tuscaloosa Research Center, Proceedings of the Fourth International Conference on Genetic Algorithms, pp. 450-457.
Bonissone Piero Patrone
Chen Yu-To
Cabrera Zoila
Fletcher Yoder
General Electric Company
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