A geometric approach for the design of MIMO sliding controllers. Application to a wind‐driven doubly fed induction generator

Valenciaga, Fernando; Puleston, Pablo Federico; Spurgeon, Sarah K.

doi:10.1002/rnc.1323

Cited by 14 publications

(2 citation statements)

References 19 publications

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“…Intelligent approaches like the fuzzy method and artificial neural networks are respectively designed in Soares et al (2010) and (Zhang et al 2006). Variable structure and output feedback controllers are also considered in Asl and Yoon (2016), Valenciaga and Puleston (2007) and Valenciaga et al (2009). The main challenge in designing a nonlinear controller is that, in practice, the precise nonlinear model of the turbine is not available.…”

Section: Introductionmentioning

confidence: 99%

Adaptive control of variable-speed wind turbines for power capture optimisation

Asl

Yoon

2016

Transactions of the Institute of Measurement and Control

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Rotor speed control of wind turbines is a key factor in achieving the maximum power of wind. It is known that a high-performance controller can significantly increase the amount of energy that can be captured from this source. The main problem regarding this issue is the lack of information about the correct dynamic model of the system. This uncertainty of the model is generally associated with unknown parameters (structured uncertainty) and/or external disturbances (unstructured uncertainty). Some adaptive and robust control approaches are developed in the literature in order to deal respectively with structured and unstructured uncertainties. In this paper, to compensate for both types of uncertainty, a robust controller, which includes an adaptive feedforward term, is proposed to track the optimal speed. In addition to considering the uncertainties, another advantage of the presented approach is that, using a smooth control effort, it provides global asymptotic tracking. A complete stability proof of the system is presented, and simulation results illustrate the effectiveness of the controller.

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Section: Introductionmentioning

confidence: 99%

Adaptive control of variable-speed wind turbines for power capture optimisation

Asl

Yoon

2016

Transactions of the Institute of Measurement and Control

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“…Valenciaga et al [2] combine a geometric approach and sliding mode techniques to design controllers that guarantee finite time convergence and minimum discontinuous action for disturbance rejection. The method is applied to control a doubly fed induction generator, in the below rated region, with two simultaneous objectives: torque control to maximize the wind energy conversion and reactive power regulation to minimize machine copper losses.…”

Section: Editorialmentioning

confidence: 99%

Wind turbines: New challenges and advanced control solutions

García-Sanz

2008

Intl J Robust & Nonlinear

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After more than a decade with a quasi-exponential growing, wind energy has tripled its worldwide generation capacity in the last five years, being once again the fastest growing energy source in the world, with about 100 GW installed by 2008. Moreover, the current European and American expectations for the near future suggest a significant upward trend of about 170 GW installed by the end of 2010. The currently installed wind power capacity generates 200 TWh per year, equaling 1.3% of the global electricity consumption. The wind industry employs today 350 000 people worldwide. Simultaneously, the average power output of a wind turbine unit has increased significantly, going from 300 kW ( Wind turbines are complex systems, with large flexible structures working under very turbulent and unpredictable environmental conditions, and subject to a variable and demanding electrical grid. The efficiency and reliability of a wind turbine strongly depend on the applied control strategy. Large nonlinear characteristics and high model uncertainty due to the interaction of the aerodynamic, mechanical and electrical subsystems, stability problems, maximization of wind energy conversion matters, load reduction strategies, mechanical fatigue minimization problems, reliability issues, availability aspects, costs per kWh reduction strategies, etc. make it necessary to design powerful control systems to regulate in a coordinated way many variables such as pitch, torque, power, rotor speed, yaw orientation, temperatures, currents, voltages, power factors, etc.Furthermore, increasing level of wind energy penetration in the grid (nowadays wind power accounts for approximately 19% of electricity production in Denmark, 10% in Spain, 6% in Germany, etc.) has revealed new critical challenges and problems: response to grid voltage dips, frequency and active power control loops, voltage and reactive power regulation, restoration of grid services after power outages, wind prediction, etc. They have resulted in an urgent need for new control solutions, combining nonlinear control, adaptive techniques, robust methodologies, load sharing aspects, predictive laws, multivariable control, etc.

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Wind Energy literature survey no. 12

2009

Wind Energy

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As a service to readers, Wind Energy regularly conducts literature surveys and publishes lists of relevant papers drawn from recent issues of a large number of periodicals including Journal of Wind Engineering and Industrial Aerodynamics, International Journal of Energy Research, Renewable Energy, Energy Sources, Journal of Solar Energy Engineering, American Institute of Aeronautics and Astronautics Journal and Electric Power Components and Systems along with a number of periodicals published by the Institute of Electrical and Electronics Engineers, etc. The list is limited exclusively to journals not specifically devoted to wind energy and its applications. To assist the reader, the list is separated into broad categories. Although many papers fit several categories, each paper is listed only once under the category thought most appropriate. Please note that the inclusion in the list is not an endorsement of a paper's quality. Compiled by Lars Christian Henriksen, Wind Energy Department, Riso/ National Laboratory for Sustainable Energy, Technical University of Denmark, PO 49, DK‐4000 Roskilde, Denmark. Please e‐mail any suggestions to lars.christian.henriksen@risoe.dk.

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A geometric approach for the design of MIMO sliding controllers. Application to a wind‐driven doubly fed induction generator

Cited by 14 publications

References 19 publications

Adaptive control of variable-speed wind turbines for power capture optimisation

Adaptive control of variable-speed wind turbines for power capture optimisation

Wind turbines: New challenges and advanced control solutions

Wind Energy literature survey no. 12

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