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Title: 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 DYNAMO-ELECTRIC CONVERTERS
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
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 = {2004},
month = {3}
}

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Works referenced in this record:

Loss minimization control of an induction motor drive
journal, January 1991