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Title: US5995737: System and method for tuning a rail-based transportation system speed 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: 1999-11-30 / 1997-09-08

Application Number: US1997000924972

IPC Code: Advanced: B60T 8/17; B60T 13/66; B60T 17/22; G05B 11/42; G05B 13/02;
Core: B60T 17/18; more...
IPC-7: B60T 8/58;

ECLA Code: B60T8/17P5; B60T13/66C; B60T17/22H; G05B11/42; G05B13/02C2;

U.S. Class: Current: 703/008; 303/135; 700/046; 700/050; 701/020; 701/098; 703/002; 706/013;
Original: 395/500.29; 395/500.23; 364/148.05; 364/166; 701/020; 701/098; 706/013; 303/135;

Field of Search: 395/500,500.23,500.29 364/148.01,150-152,166,148.02,148.05,578 701/040,19-20,98 303/128-136 706/001-9,13,52

Priority Number:
1997-09-08  US1997000924972

Abstract:     In this invention there is disclosed a system and method for tuning a speed controller that is used to keep a rail-based transportation system within a prescribed speed limit while providing a smooth ride. A fuzzy logic controller is synthesized to track the performance of a train simulator to a predetermined velocity profile over a specified track profile. A genetic algorithm is used to adjust the fuzzy logic controller's performance by adjusting its parameters in a sequential order of significance.

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

Primary / Asst. Examiners: Teska, Kevin J.; Frejd, Russell W.

Maintenance Status: E1 Expired  Check current status

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 16 claims
We claim:     1. A system for tuning a rail-based transportation speed 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 fuzzy logic controller for controlling the velocity of the train simulator in accordance with the predetermined velocity profile provided by the velocity profile, the fuzzy logic controller tracking error and change in tracking error between the velocity of the train simulator and the predetermined velocity profile and providing a control action to the train simulator that minimizes the tracking error; and
  • a tuner, coupled to the train simulator and the fuzzy logic controller, for optimizing the tracking between the train simulator and the predetermined velocity profile provided by the velocity profiler.


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Forward References: Show 14 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (14)   |   Backward references (0)   |   Citation Link

       
Foreign References: None

Other Abstract Info: DERABS G2000-095843 DERABS G2000-095843

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, Nos. 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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