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 Laboratory (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):
-
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
H - ELECTRICITY H02 - GENERATION H02P - CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS
- DOE Contract Number:
- AC36-83CH10093
- 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 = {Tue Mar 23 00:00:00 EST 2004},
month = {Tue Mar 23 00:00:00 EST 2004}
}
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