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Title: US7308339: System and method for tuning a raw mix proportioning controller
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Country: US United States of America

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21 pages

 
Inventor: Bonissone, Piero Patrone; Schenectady, NY, United States of America
Chen, Yu-To; Niskayuna, NY, United States of America

Assignee: General Electric Company, Niskayuna, NY, United States of America
other patents from GENERAL ELECTRIC COMPANY (218550) (approx. 30,796)
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Published / Filed: 2007-12-11 / 2003-10-02

Application Number: US2003000679084

IPC Code: Advanced: B28C 7/04; B28C 7/06; G05B 13/02; G05B 21/00;
Core: B28C 7/00; more...

ECLA Code: B28C7/04B; B28C7/06; G05B13/02C2;

U.S. Class: 700/265; 700/050; 706/001; 706/906;

Field of Search: 700/095,265,44,48,49-50,28 706/001-4,8,900,903,906

Priority Number:
2003-10-02  US2003000679084
2000-06-14  US2000000594047
1998-11-09  US1998000189153

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.

Attorney, Agent or Firm: Fletcher Yoder ;

Primary / Asst. Examiners: Cabrera, Zoila;

INPADOC Legal Status: None          Buy Now: Family Legal Status Report

       
Related Applications:
Application Number Filed Patent Pub. Date  Title
US2000000594047 2000-06-14    2003-12-23  System and method for tuning a raw mix proportioning controller
US1998000189153 1998-11-09    2000-09-05  System and method for providing raw mix proportioning control in a cement plant with a fuzzy logic supervisory controller


       
Parent Case: CROSS-REFERENCE TO RELATED APPLICATIONS
    This application is a division of application Ser. No. 09/594,047, filed Jun. 14, 2000, now U.S. Pat. No. 6,668,201 which is a CIP of Ser. No. 09/189,153 filed Nov. 9, 1998, now U.S. Pat. No. 6,113,256 iss. Sep. 5, 2000, which is hereby incorporated by reference in its entirety.

Family: Show 15 known family members

First Claim:
Show all 12 claims
    1. A system for providing raw mix proportioning control, comprising:

a plurality of raw material;

a plurality of transport belts for transporting the plurality of raw material;

a measuring device that measures the composition of the plurality of raw material transported by the plurality of transport belts;

a raw mix proportioning controller, coupled to the plurality of transport belts and the measuring device, for controlling the proportions of the plurality of raw material transported along the plurality of transport belts, wherein the raw mix proportioning controller comprises a fuzzy logic supervisory controller tuned to optimize tracking of a plurality of target set points specified for the plurality of raw material.



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Forward References: Show 1 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (1)   |   Backward references (15)   |   Citation Link

Buy
PDF
Patent  Pub.Date  Inventor Assignee   Title
Buy PDF- 14pp US4910684  1990-03 Ostergaard et al.  F. L. Smidth & Co. A/B Method of controlling a rotary kiln during start-up
Buy PDF- 13pp US5012430  1991-04 Sakurai  Hitachi, Ltd. Fuzzy inference-based digital control method and apparatus
Buy PDF- 40pp US5202954  1993-04 Miyazawa et al.  Olympus Optical Co., Ltd. Digital fuzzy apparatus having simplified barycentral operation arrangement
Buy PDF- 19pp US5320425  1994-06 Stephenson et al.  Halliburton Company Cement mixing system simulator and simulation method
Buy PDF- 14pp US5351200  1994-09 Impink, Jr.  Westinghouse Electric Corporation Process facility monitor using fuzzy logic
Buy PDF- 21pp US5432885  1995-07 Nomoto et al.  Mitsubishi Denki Kabushiki Kaisha Recurrent fuzzy inference apparatus
Buy PDF- 11pp US5571281  1996-11 Allen   Automatic cement mixing and density simulator and control system and equipment for oil well cementing
Buy PDF- 13pp US5584926  1996-12 Borgholm et al.  Aalborg Portland A/S Cement compostion
Buy PDF- 19pp US5946220  1999-08 Lemelson   Computer operated material processing systems and method
Buy PDF- 13pp US5995737  1999-11 Bonissone et al.  General Electric Company System and method for tuning a rail-based transportation system speed controller
Buy PDF- 11pp US6033102  2000-03 Morihira et al.  Mitsubishi Heavy Industries, Ltd. Method and system for controlling mixing of raw materials for cement
Buy PDF- 17pp US6041320  2000-03 Qin et al.  Fisher Controls International, Inc. Multi-region fuzzy logic control system with auxiliary variables
Buy PDF- 19pp US6081796  2000-06 Takagi et al.  Matsushita Electric Industrial Co., Ltd. Proportion predicting system and method of making mixture
Buy PDF- 11pp US6142771  2000-11 Doumet  Cement Petcoptimizer Company Control of cement clinker production using high sulfur fuel in a Lelep-Lepol travelling grate rotary kiln by analysis of sulfur in the end product
Buy PDF- 16pp US6330484  2001-12 Qin  Fisher-Rosemount Systems, Inc. Method and apparatus for fuzzy logic control with automatic tuning
       
Foreign References:
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PDF
Publication Date IPC Code Assignee   Title
Buy PDF - 12pp DE4204047 1992-02  F02D 41/14 Robert Bosch GmbH, 7000 Stuttgart, DE Verfahren zur Positionierung eines Stellers in einem Kraftfahrzeug 


Other References:
  • 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. (16 pages) Cited by 3 patents [ISI abstract]
  • 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. (17 pages) Cited by 6 patents [ISI abstract]
  • 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. (17 pages) Cited by 9 patents
  • 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.


  • Continuity Data:
    Application Number Filed Notes

    US2003000679084 2003-10-02  is a related to the prior publication
         US20040138765A1 issued 2004-07-15  System and method for tuning a raw mix proportioning controller

    >US2003000679084< 2003-10-02  is a division of
    US2000000594047  2000-06-14   (granted)
         US6668201 issued 2003-12-23   System and method for tuning a raw mix proportioning controller

    >US2003000679084<   is a division of
    US2000000594047  2000-06-14
         US6668201 issued 2003-12-23   System and method for tuning a raw mix proportioning controller

    US2000000594047 2000-06-14  is a continuation in part of
    US1998000189153  1998-11-09   (granted)
         US6113256 issued 2000-09-05   System and method for providing raw mix proportioning control in a cement plant with a fuzzy logic supervisory controller

    US2000000594047   is a continuation in part of
    US1998000189153  1998-11-09
         US6113256 issued 2000-09-05 2000-09-05  System and method for providing raw mix proportioning control in a cement plant with a fuzzy logic supervisory controller


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