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FUZZY LOGIC BASED INTELLIGENT CONTROL OF A VARIABLE SPEED CAGE MACHINE WIND GENERATION SYSTEM
Citation:
Mose, B. K. AND M. G. Simoes. FUZZY LOGIC BASED INTELLIGENT CONTROL OF A VARIABLE SPEED CAGE MACHINE WIND GENERATION SYSTEM. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/R-97/010 (NTIS PB97-144851), 1997.
Impact/Purpose:
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Description:
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 either a double-sided pulse-width modulation converter system which pumps power to either a utility grid or an autonomous system. Maximum power point tracker control is performed with three fuzzy controllers, without wind velocity measurement. One fuzzy logic controller (FLC-1) searches 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 TMS320C30-based hardware with C control software was built for the performance evaluation of a laboratory experimental setup. The theoretical development was fully validated, and the system is ready to be reproduced in a higher power installation.