Asymptotic Tracking Control for Wind Turbines in Variable Speed Mode

Wei Lin; Zongtao Lu; Wei Wei

doi:10.1109/JAS.2017.7510568

Volume 4 Issue 3

Jul. 2017

IEEE/CAA Journal of Automatica Sinica

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Wei Lin, Zongtao Lu and Wei Wei, "Asymptotic Tracking Control for Wind Turbines in Variable Speed Mode," IEEE/CAA J. Autom. Sinica, vol. 4, no. 3, pp. 569-576, July 2017. doi: 10.1109/JAS.2017.7510568

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Wei Lin, Zongtao Lu and Wei Wei, "Asymptotic Tracking Control for Wind Turbines in Variable Speed Mode," IEEE/CAA J. Autom. Sinica, vol. 4, no. 3, pp. 569-576, July 2017. doi: 10.1109/JAS.2017.7510568

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Asymptotic Tracking Control for Wind Turbines in Variable Speed Mode

doi: 10.1109/JAS.2017.7510568

Dongguan University of Technology, Dongguan 523808, China, and also with the Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio OH 44120, USA

Funds:

the Key Project of National Natural Science Foundation of China 61533009

the 111 Project B08015

the Research Projects KQC201105300002A

the Research Projects JCY20130329152125731

the Research Projects JCYJ20150403161923519

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Author Bio:
Wei Lin received the D.Sc. and M.S. degrees in systems science and mathematics from Washington University, St. Louis, MO, USA, in 1993 and 1991, respectively. He also received the M.S. and B.S. degrees in electrical engineering from Huazhong University of Science and Technology (1986) and Dalian University of Technology (1983), respectively. During 1986 to 1989, he was a lecturer in the Department of Mathematics at Fudan University, Shanghai, China. From 1994 to 1995, he was a postdoctor and then visiting assistant professor at the School of Applied Science and Engineering at Washington University. Since spring of 1996, he has been a professor in the Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio, USA. Over the years, he has also held visiting positions in numerous universities in the U.S., Europe and Asia.
Dr. Lin's research interests include nonlinear control, dynamic systems, estimation and system identification, robust/adaptive control, underactuated mechanical systems, biologically inspired robots, and more recently on wind turbine, power systems and smart grids. So far he has published more than 200 papers in various peer refereed journals and international conferences. He has been invited to give a number of Keynote Addresses and Plenary Lectures at international conferences including IFAC and IEEE on Nonlinear Control, Dynamics Systems, Optimization and Applied Mathematics, Renewable Energy and Smart Girds.
Dr. Lin was a recipient of the U.S. NSF CAREER Award (1999), the JSPS Fellow (2003), the Warren E. Rupp Endowed Professorship (1998), and the Robert Herbold Faculty Fellow Award (2007). He served as an associate editor of the IEEE Transactions on Automatic Control (1999-2002), a guest editor of the Special Issue on "New Directions in Nonlinear Control" in the IEEE Transactions on Automatic Control (2003), an associate editor of Automatica (2002-2005), a subject editor of International Journal of Robust and Nonlinear Control (2005-2010), an associate editor of International Journal of Robust and Nonlinear Control (2011-present), and an associate editor of Journal of Control Theory and Applications (2005-2008). (e-mail: linwei@case.edu)

Zongtao Lu received the bachelor degree from Northeastern University, China, in 2003, and the M.Sc. degree from Lakehead University, Canada. During 2005-2010, he was a graduate student in the Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio, USA, where he received the Ph.D. degree in 2010. Since then, he has worked in Alstom Power Inc., CT, and Emerson Network Power, Ohio. Currently, he is with PPG Industries, Cheswick, PA. (e-mail: zongtaolu@gmail.com)

Wei Wei received the B.S. degree in 2007 from Harbin Institute of Technology, China. In 2009, He received the M.Sc. degree from Harbin Institute of Technology Shenzhen Graduate School (HITSGS), Shenzhen, China. He has worked in industry for two years and in 2016 he received the Ph.D. degree from HITSGS. He is currently an assistant professor at Dongguan University of Technology, China. His research interests include output feedback control of nonlinear systems, semi-global feedback stabilization, sampled-data control and robotics. (e-mail: weirui9003@gmail.com)
Corresponding author: Wei Lin, e-mail:linwei@case.edu
Received Date: 2015-10-16
Accepted Date: 2016-04-09

Abstract

Abstract

This paper presents a variable speed control strategy for wind turbines in order to capture maximum wind power. Wind turbines are modeled as a two-mass drive-train system with generator torque control. Based on the obtained wind turbine model, variable speed control schemes are developed. Nonlinear tracking controllers are designed to achieve asymptotic tracking for a prescribed rotor speed reference signal so as to yield maximum wind power capture. Due to the difficulty of torsional angle measurement, an observer-based control scheme that uses only rotor speed information is further developed for global asymptotic output tracking. The effectiveness of the proposed control methods is illustrated by simulation results.
- Asymptotic tracking,
- partial-state and output feedback,
- two-mass drive-train model,
- variable speed control,
- wind turbines

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References(22)

References

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Asymptotic Tracking Control for Wind Turbines in Variable Speed Mode

doi: 10.1109/JAS.2017.7510568

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