Fuzzy logic controller optimization
Abstract
A method is provided for optimizing a rotating induction machine system fuzzy logic controller. The fuzzy logic controller has at least one input and at least one output. Each input accepts a machine system operating parameter. Each output produces at least one machine system control parameter. The fuzzy logic controller generates each output based on at least one input and on fuzzy logic decision parameters. Optimization begins by obtaining a set of data relating each control parameter to at least one operating parameter for each machine operating region. A model is constructed for each machine operating region based on the machine operating region data obtained. The fuzzy logic controller is simulated with at least one created model in a feedback loop from a fuzzy logic output to a fuzzy logic input. Fuzzy logic decision parameters are optimized based on the simulation.
 Inventors:
 Issue Date:
 Research Org.:
 National Renewable Energy Lab. (NREL), Golden, CO (United States)
 Sponsoring Org.:
 USDOE
 OSTI Identifier:
 1174787
 Patent Number(s):
 6711556
 Application Number:
 09/669,211
 Assignee:
 Ford Global Technologies, LLC (Dearborn, MI)
 Patent Classifications (CPCs):

H  ELECTRICITY H02  GENERATION H02P  CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMOELECTRIC CONVERTERS
G  PHYSICS G05  CONTROLLING G05B  CONTROL OR REGULATING SYSTEMS IN GENERAL
 DOE Contract Number:
 AC3683CH10093
 Resource Type:
 Patent
 Country of Publication:
 United States
 Language:
 English
 Subject:
 97 MATHEMATICS AND COMPUTING
Citation Formats
Sepe, Jr., Raymond B, and Miller, John Michael. Fuzzy logic controller optimization. United States: N. p., 2004.
Web.
Sepe, Jr., Raymond B, & Miller, John Michael. Fuzzy logic controller optimization. United States.
Sepe, Jr., Raymond B, and Miller, John Michael. Tue .
"Fuzzy logic controller optimization". United States. https://www.osti.gov/servlets/purl/1174787.
@article{osti_1174787,
title = {Fuzzy logic controller optimization},
author = {Sepe, Jr., Raymond B and Miller, John Michael},
abstractNote = {A method is provided for optimizing a rotating induction machine system fuzzy logic controller. The fuzzy logic controller has at least one input and at least one output. Each input accepts a machine system operating parameter. Each output produces at least one machine system control parameter. The fuzzy logic controller generates each output based on at least one input and on fuzzy logic decision parameters. Optimization begins by obtaining a set of data relating each control parameter to at least one operating parameter for each machine operating region. A model is constructed for each machine operating region based on the machine operating region data obtained. The fuzzy logic controller is simulated with at least one created model in a feedback loop from a fuzzy logic output to a fuzzy logic input. Fuzzy logic decision parameters are optimized based on the simulation.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2004},
month = {3}
}
Works referenced in this record:
Power Electronics and Variable Frequency Drives: Technology and Applications
book, September 1996
 Bose, Bimal K.
Loss minimization control of an induction motor drive
journal, January 1991
 Famouri, P.; Cathey, J. J.
 IEEE Transactions on Industry Applications, Vol. 27, Issue 1