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Experimental Study of a Disturbance Rejection Controller for DFIG Based Wind Energy Conversion Systems

[+] Author Affiliations
Akbar Tohidi

K. N. Toosi University of Technology, Tehran, Iran

Oveis Abedinia

Islamic Azad University, Ardabil, Iran

Hadi Hajieghrary, Suhada Jayasuriya

Drexel University, Philadelphia, PA

Paper No. DSCC2014-6002, pp. V003T53A004; 11 pages
  • ASME 2014 Dynamic Systems and Control Conference
  • Volume 3: Industrial Applications; Modeling for Oil and Gas, Control and Validation, Estimation, and Control of Automotive Systems; Multi-Agent and Networked Systems; Control System Design; Physical Human-Robot Interaction; Rehabilitation Robotics; Sensing and Actuation for Control; Biomedical Systems; Time Delay Systems and Stability; Unmanned Ground and Surface Robotics; Vehicle Motion Controls; Vibration Analysis and Isolation; Vibration and Control for Energy Harvesting; Wind Energy
  • San Antonio, Texas, USA, October 22–24, 2014
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-4620-9
  • Copyright © 2014 by ASME


We consider a Double Fed Induction Generator (DFIG) based wind energy conversion system with highly nonlinear dynamics and abrupt changes as a test bed for optimally extracting wind energy. Dynamic backstepping is utilized to implement a sliding mode control that combines high order sliding mode control and Multi-Input/Multi-Output (MIMO) backstepping. A novel adaptive estimator is utilized to obtain the maximum active and reactive output power in the presence of stochastic wind velocity profiles which are fed as the reference signals to the algorithm. The controller developed is tuned and evaluated on a simulator of the DFIG based wind power conversion system; which is subsequently implemented on an experimental setup. Experimental results show that the proposed adaptive method outperforms the traditional control methods in terms of robustness and performance.

Copyright © 2014 by ASME



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