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Title: US6243694: System and method for generating a fuel-optimal reference velocity profile for a rail-based transportation handling controller
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Country: US United States of America

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14 pages

 
Inventor: Bonissone, Piero Patrone; Schenectady, NY
Chen, Yu-To; Niskayuna, NY
Khedkar, Pratap Shankar; Niskayuna, NY
Houpt, Paul Kenneth; Schenectady, NY
Schneiter, John Lewis; Latham, NY

Assignee: General Electric Company, Schenectady, NY
other patents from GENERAL ELECTRIC COMPANY (218550) (approx. 30,796)
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Published / Filed: 2001-06-05 / 1997-12-29

Application Number: US1997000999199

IPC Code: Advanced: G05B 13/02;
Core: more...
IPC-7: H61F 2/14;

ECLA Code: G05B13/02C; G05B13/02C2;

U.S. Class: Current: 706/004;
Original: 706/004;

Field of Search: 706/004,2,3,8

Priority Number:
1997-12-29  US1997000999199

Abstract:     In this invention there is disclosed a system and method for generating a fuel-optimal reference velocity profile for a rail-based transportation handling controller. The fuel-optimal reference velocity profile is used to reduce the amount of fuel consumption. The fuel-optimal reference velocity profile is generated to take into account the speed that a train must travel at in order to satisfy a given schedule, speed constraints that will minimize fuel consumption, and recommended speeds that will prevent train breaks, derailments, cargo damage and violation of safety rules. In this invention, the fuel-optimal reference velocity profile is generated by using a genetic algorithm.

Attorney, Agent or Firm: Goldman, David C. ; Breedlove, Jill M. ;

Primary / Asst. Examiners: Powell, Mark R.; Starks, Wilbert

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 14 claims
What is claimed is:     1. A system for generating an optimized velocity profile in a rail-based transportation handling controller, comprising:
  • a train simulator for simulating an operation of a rail-based transportation system over a specified track profile;
  • a velocity profile generator for generating a velocity profile for operating the rail-based transportation system over the specified track profile;
  • a fuzzy logic controller for controlling the operation of the train simulator in accordance with the velocity profile provided by the velocity profile generator, the fuzzy logic controller tracking error and change in error between the train simulator operation and the velocity profile and providing a control action to the train simulator that minimizes the error; and
  • a velocity profile optimizer, coupled to the train simulator and the velocity profile generator, for optimizing the generated velocity profile in accordance with the operation of the train simulator, wherein the velocity profile optimizer comprises at least one fitness function.


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Forward References: Show 4 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (4)   |   Backward references (4)   |   Citation Link

Buy
PDF
Patent  Pub.Date  Inventor Assignee   Title
Buy PDF- 82pp US5946673  1999-11 Francone et al.   Computer implemented machine learning and control system
Buy PDF- 13pp US5983144  1999-11 Bonissone et al.  General Electric Company System and method for tuning look-ahead error measurements in a rail-based transportation handling controller
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- 28pp US6021369  2000-02 Kamihira et al.  Yamaha Hatsudoki Kabushiki Kaisha Integrated controlling system
       
Foreign References: None

Other References:
  • "Genetic Algorithms for Automated Tuning of Fuzzy Controllers: A Transportation Application" by Piero P. Bonissone, et al, Fifth IEEE International Conference on Fuzzy Systems, Sep. 1996, New Orleans, LA, pp. 674-680.
  • "Automated Fuzzy Knowledge Base Generation and Tuning" by DG Burkhardt, et al, 1992 IEEE, San Diego, CA, pp. 179-188.
  • "A Classified Review on the Combination Fuzzy Logic-Genetic Algorithms Bibliography" by O. Cordon, et al, Research Report DESCAI95129, Dept. of Computer Science and AI, Universidad de Granada, Granada, Spain, 1995, 21 pages.
  • "Tuning Fuzzy Logic Controllers by Genetic Algorithms" by F. Herrera, et al, Int. Journal Approximate Reasoning (IJAR), vol. 12, No. 3/4, Apr./May 1995, PP-299-315. (17 pages) Cited by 6 patents [ISI abstract]
  • "Fuzzy Control of pH using Genetic Algorithms" by CL Karr, et al, IEEE Transactions on Fuzzy Systems, vol. 1. No. 1, Feb. 1993, pp. 46-53.
  • "Modifications of Genetic Algorithms for Designing and Optimizing Fuzzy Controllers" by J. Kinzel, et al, 1994 IEEE Conference on Evolutionary Computation, Orlando, FL, vol. 1, pp. 28-33.
  • "Integrating Design States of Fuzzy Systems Using Genetic Algorithms", by MA Lee, et al, IEEE Conference on Fuzzy Systems, vol. 1, 1993, San Francisco, CA, pp. 612-617.
  • "Fuzzy Identification of Systems and Its Applications to Modeling and Control" by T.Takagi, et al, IEEE Trans. on Systems, Man and Cybernetics, vol. SMC-15, No. 1, 1985, pp. 116-132. (17 pages) Cited by 9 patents
  • "A Practical Guide to Tune of Proportional and Integral (PI) Like Fuzzy Controllers" by L. Zeng, 1992 IEEE Conference on Fuzzy Systems, San Diego, CA, pp. 633-640.
  • "Design of an Adaptive Fuzzy Logic Controller Using a Genetic Algorithm" by CL Karr, In Proc Int. Conf on Genetic Algorithms (ICGA '91), vol. 1, pp. 450-456, San Diego, CA 1991.


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