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OLS Field Name OLS Field Data
Main Title Fuzzy logic based intelligent control of a variable speed cage machine wind generation system /
Author Bose, Bimal K. ; Simoes, M. G.
Other Authors
Author Title of a Work
Simoes, Marcelo Godoy.
CORP Author Tennessee Univ., Knoxville. Dept. of Chemical Engineering.;Environmental Protection Agency, Research Triangle Park, NC. Air Pollution Prevention and Control Div.
Publisher U.S. Environmental Protection Agency, National Risk Management Research Laboratory,
Year Published 1997
Report Number EPA/600/R-97/010; EPA-R-820555
Stock Number PB97-144851
Subjects Electric power production. ; Wind power. ; Fuzzy logic. ; Mathematical optimization. ; Power electronics.
Additional Subjects Wind power generation ; Fuzzy logic ; Artifical intelligence ; Electric generators ; Electric controllers ; Windpowered generators ; Power factor controllers ; Squirrel cage motors ; Speed regulators ; Wind turbines ; Computer systems hardware ; Computer systems programs ; Control system design ; Functional design specifications ; Air pollution abatement
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB97-144851 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 01/01/1988
Collation 174 unnumbered pages : figures ; 28 cm
Abstract
The report gives results of a demonstration of the successful application of fuzzy logic to enhance the performance and control of a variable-speed wind generation system. A squirrel cage induction generator feeds the power to a double-sided pulse-width modulation converter system which pumps power to either a utility grid or an autonomous system. One fuzzy logic controller (FLC-1) searchers the generator speed on-line to optimize the aerodynamic efficiency of the wind turbine. A second fuzzy controller (FLC-2) programs the machine flux by on-line search so as to optimize the machine-converter system efficiency. A third fuzzy controller (FLC-3) performs robust speed control against turbine oscillatory torque and wind vortex. Detailed analysis and simulation studies were performed for development of the control strategy and fuzzy algorithms, and DSP TMS320 C30-based hardware with C control software was built for the performance evaluation of a laboratory experimental setup.
Notes
"February 1997." "EPA/600/R-97/010." Caption title. Microfiche.