Science Inventory

FUZZY LOGIC BASED INTELLIGENT CONTROL OF A VARIABLE SPEED CAGE MACHINE WIND GENERATION SYSTEM

Citation:

Simoes, M. G., B. K. Bose, AND R. J. SPIEGEL. FUZZY LOGIC BASED INTELLIGENT CONTROL OF A VARIABLE SPEED CAGE MACHINE WIND GENERATION SYSTEM. IEEE TRANSACTIONS ON POWER ELECTRONICS 12(1):87-95, (1997).

Impact/Purpose:

Published Journal Article

Description:

The paper describes a variable-speed wind generation system where fuzzy logic principles are used to optimize efficiency and enhance performance control. A squirrel cage induction generator feeds the power to a double-sided pulse width modulated converter system which either pumps power to a utility grid or supplies an autonomous system. The generation system has fuzzy logic control with vector control in the inner loops. A fuzzy logic controller tracks the generator speed with the wind velocity to extract the maximum power. A second fuzzy controller programs the machine flux for light load efficiency improvement, and a third fuzzy controller gives robust speed control against wind gust and turbine oscillatory torque. The complete control system has been developed, analyzed, and validated by simulation study. Performances have been evaluated in detail.

URLs/Downloads:

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FUZZY LOGIC BASED INTELLIGENT CONTROL OF A VARIABLE SPEED CAGE MACHINE WIND GENERATION SYSTEM   (PDF,NA pp, 2696 KB,  about PDF)

Record Details:

Record Type: DOCUMENT (JOURNAL/PEER REVIEWED JOURNAL)
Product Published Date: 01/01/1997
Record Last Revised: 04/23/2009
OMB Category: Other
Record ID: 115386

Organization:

U.S. ENVIRONMENTAL PROTECTION AGENCY

OFFICE OF RESEARCH AND DEVELOPMENT

NATIONAL RISK MANAGEMENT RESEARCH LABORATORY

AIR POLLUTION PREVENTION AND CONTROL DIVISION