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Robust nonlinear control strategy to maximize energy capture in a variable speed wind turbine with an internal induction generator

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Abstract

This paper proposes a control strategy to maximize the wind energy captured in a variable speed wind turbine, with an internal induction generator, at low to medium wind speeds. The proposed strategy controls the tip-speed ratio, via the rotor angular speed, to an optimum point at which the efficiency constant (or power coefficient) is maximum for a particular blade pitch angle and wind speed. This control method allows for aerodynamic rotor power maximization without exact wind turbine model knowledge. Representative numerical results demonstrate that the wind turbine can be controlled to achieve near maximum energy capture.

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Author information

Authors and Affiliations

  1. Jacobsen, a Textron Company, Charlotte, NC, USA

    Erhun Iyasere

  2. Department of Mechatronics Engineering, Hashemite University, Zarqa, Jordan

    Mohammed H. Salah

  3. Department of Electrical & Computer Engineering, Clemson University, Clemson, SC, USA

    Darren M. Dawson

  4. Department of Mechanical Engineering, Clemson University, Clemson, SC, USA

    John R. Wagner

  5. Department of Electrical & Electronics Engineering, Izmir Institute of Technology, Izmir, Turkey

    Enver Tatlicioglu

Authors
  1. Erhun Iyasere
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  2. Mohammed H. Salah
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  3. Darren M. Dawson
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  4. John R. Wagner
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  5. Enver Tatlicioglu
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Corresponding author

Correspondence to Erhun Iyasere.

Additional information

Erhun IYASERE was born in 1983, in Benin City, Nigeria. He received his B.S. degree in Electrical Engineering from the Citadel in 2004. In 2004, he enrolled at Clemson University, where he received his M.S. degree in December 2007, and Ph.D. degree in Electrical Engineering in May 2010. In July 2010, he joined the Jacobsen, a Textron Company as a design engineer. He is a member of the Institute of Electrical and Electronic Engineers and Tau Beta Pi. Dr. Iyasere’s primary research interests include nonlinear control techniques for mechatronic systems.

Mohammed H. SALAH received his B.S. degree in Electrical Engineering from Al-Balqaa Applied University, Amman, Jordan, M.S. degree in Electrical Engineering from University of New Hampshire, Durham, NH, U.S.A., and Ph.D. degree in Electrical Engineering from Clemson University, Clemson, SC, U.S.A., in 2000, 2003, and 2007, respectively. From 2000 to 2002, he was a control engineer at PALCO for automation and electronic control, Amman, Jordan. In August 2007, he joined the Department of Mechatronics Engineering at Hashemite University, Zarqa, Jordan, where he is currently an assistant professor. His current research interests include nonlinear control, mechatronics systems, control of MEMS, renewable energy systems, automotive systems, hydraulic and pneumatic control systems, and intelligent robotic systems.

Darren M. DAWSON received his B.S. degree in Electrical Engineering from the Georgia Institute of Technology in 1984. He then worked for Westinghouse as a control engineer from 1985 to 1987. In 1987, he returned to the Georgia Institute of Technology, where he received his Ph.D. degree in Electrical Engineering in March 1990. In July 1990, he joined the Electrical and Computer Engineering (ECE) Department at Clemson University, where he currently holds the position of McQueen Quattlebaum Professor. From 2005 to 2007, he also served as the ECE Department Graduate Coordinator. As of August 2007, he has held the position of ECE Department Chair. His research interests include nonlinear control techniques for mechatronic systems such as electric machinery, robotic manipulator systems, overhead cranes, magnetic bearings, vision-based systems, mobile platforms (underwater vehicles, surface ships, satellites, aircraft, etc.), and mechanical friction.

John R. WAGNER received his B.S., M.S., and Ph.D. degrees in Mechanical Engineering from the State University of New York at Buffalo and Purdue University. Dr. Wagner was on the technical staff at Delco Electronics and Delphi Automotive Systems prior to joining the Department of Mechanical Engineering at Clemson University. His research interests include nonlinear control theory, behavioral modeling, diagnostic and prognostic strategies, and mechatronic system design with application to automotive and wind turbine systems. Professor Wagner is a fellow of the American Society of Mechanical Engineers (ASME) and a register professional engineer.

Enver TATLICIOGLU received his B.S. degree in Electrical and Electronics Engineering from Dokuz Eylul University, Izmir, Turkey, and the Ph.D. degree in Electrical and Computer Engineering from Clemson University, Clemson, SC, U.S.A. in 1999 and 2007, respectively. Upon completion of his Ph.D. degree, he worked as a postdoctoral research fellow at the Department of Electrical and Computer Engineering, Clemson University, then joined the Electrical & Electronics Engineering Department at Izmir Institute of Technology, Izmir, Turkey where he is currently an assistant professor. His research interests include robust, adaptive, and optimal control of nonlinear systems, predictor-based control of uncertain nonlinear systems, output feedback control, nonlinear control techniques for kinematically redundant robot manipulators, haptic systems and teleoperation, and dynamic modelling of extensible continuum robot manipulators.

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Iyasere, E., Salah, M.H., Dawson, D.M. et al. Robust nonlinear control strategy to maximize energy capture in a variable speed wind turbine with an internal induction generator. J. Control Theory Appl. 10, 184–194 (2012). https://doi.org/10.1007/s11768-012-0315-4

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  • DOI: https://doi.org/10.1007/s11768-012-0315-4

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