Fuzzy logic based intelligent control of a variable speed cage machine wind generation system
- 1 January 1997
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Electronics
- Vol. 12 (1), 87-95
- https://doi.org/10.1109/63.554173
Abstract
The paper describes a variable speed wind generation system where fuzzy logic principles are used for efficiency optimization and performance enhancement control. A squirrel cage induction generator feeds the power to a double-sided pulse width modulated converter system which pumps power to a utility grid or can supply to an autonomous system. The generation system has fuzzy logic control with vector control in the inner loops. A fuzzy 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 then been evaluated in detail.Keywords
This publication has 5 references indexed in Scilit:
- Variable-reluctance generators in wind-energy systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Fuzzy logic based on-line efficiency optimization control of an indirect vector controlled induction motor drivePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A fuzzy set theory based control of a phase-controlled converter DC machine drivePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Experimental evaluation of a variable-speed, doubly-fed wind-power generation systemIEEE Transactions on Industry Applications, 1994
- Output Power Controller for a Wind-Driven Induction GeneratorIEEE Transactions on Aerospace and Electronic Systems, 1987