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Title: US5983144: System and method for tuning look-ahead error measurements in a rail-based transportation handling controller
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Country: US United States of America

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13 pages

 
Inventor: Bonissone, Piero Patrone; Schenectady, NY
Chen, Yu-To; Niskayuna, NY
Khedkar, Pratap Shankar; Niskayuna, NY

Assignee: General Electric Company, Schenectady, NY
other patents from GENERAL ELECTRIC COMPANY (218550) (approx. 30,796)
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Published / Filed: 1999-11-09 / 1997-12-29

Application Number: US1997000999201

IPC Code: IPC-7: G06F 165/00;

U.S. Class: Current: 701/019; 246/182.R; 700/050; 701/020;
Original: 701/019; 701/020; 364/148.05; 246/182.R;

Field of Search: 701/001,19,20,70 246/2 R,6,182 R,182 A,182 B,182 AB 364/148.01,148.05,153

Priority Number:
1997-12-29  US1997000999201

Abstract: In this invention there is disclosed a system and method for tuning look-ahead error measurements that is used to improve the train handling performance of a rail-based transportation system. A look-ahead error module along with a fuzzy logic controller is synthesized to ensure that a train simulator complies to a prescribed speed limit over a specified track profile while providing a smooth ride. A genetic algorithm is used to adjust the parameters of the look-ahead error module.

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

Primary / Asst. Examiners: Chin, Gary;

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 16 claims
We claim:     1. A system for tuning look-ahead error measurements in a rail-based transportation handling controller, comprising:
  • a velocity profiler containing a predetermined velocity profile for operating a rail-based transportation system over a specified track profile;
  • a train simulator for simulating an operation of the rail-based transportation system over the specified track profile;
  • a look-ahead error module, responsive to the velocity profiler and the train simulator, for determining look-ahead error for the rail-based transportation system;
  • a tuner, coupled to the train simulator and the look-ahead error module, for optimizing said look-ahead error determined by the look-ahead error module; and
  • a fuzzy logic controller for controlling the handling of the train simulator in accordance with said look-ahead error determined by the tuned look-ahead error module, the fuzzy logic controller tracking said look-ahead error and change in said look-ahead error and providing a control action to the train simulator that minimizes the look-ahead error.


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Forward References: Show 6 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (6)   |   Backward references (6)   |   Citation Link

Buy
PDF
Patent  Pub.Date  Inventor Assignee   Title
Buy PDF- 27pp US4041283  1977-08 Mosier  Halliburton Company Railway train control simulator and method
Buy PDF- 35pp US4401035  1983-08 Spigarelli et al.  Kansas City Southern Railway Company Control device for multiple unit locomotive systems
Buy PDF- 22pp US5053964  1991-10 Mister et al.  UTDC, Inc. On-board integrated vehicle control and communication system
Buy PDF- 19pp US5424948  1995-06 Jordan, Jr.  General Motors Corporation Locomotive traction control system using fuzzy logic
Buy PDF- 77pp US5541832  1996-07 Nakajima et al.  Hitachi, Ltd. Control device for controlling a controlled apparatus, and a control method therefor
Buy PDF- 15pp US5758848  1998-06 Beule   Automatic switching system for track-bound freight cars
       
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, Numbers 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.
  • "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.
  • "Integrating Design States of Fuzzy Systems Using Genetic Algorithms", by MA Lee, et al, IEEE Trans. on Systems, Man and Cybernetics, vol. SMC-15, No. 1, 1985, pp.116-132.


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