Volume 19, Issue 4 (2019)                   Modares Mechanical Engineering 2019, 19(4): 937-945 | Back to browse issues page

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Mazare M, Taghizadeh M, Aghaeinezhad S. Individual Pitch Angle Robust Control of a Variable Speed Wind Turbine to Mitigate Mechanical Loads. Modares Mechanical Engineering. 2019; 19 (4) :937-945
URL: http://journals.modares.ac.ir/article-15-24519-en.html
1- Mechanical Engineering Faculty, Shahid Beheshti University, Tehran, Iran
2- Mechanical Engineering Faculty, Shahid Beheshti University, Tehran, Iran , mo_taghizadeh@sbu.ac.ir
Abstract:   (543 Views)
Conspicuously, pitch angle control strategy has been applied to mitigate the influence of mechanical load and also output power control at above-rated wind speeds. In this paper, a wind turbine is modeled based on simplified two-mass model and an adaptive sliding mode controller (ASMC) is designed based on individual pitch control (IPC) strategy. To do this, the single-blade approach is used and the wind turbine was divided into aerodynamics and mechanical subsystems and governing equations of each subsystem were derived. By designing and applying the ASMC to two-mass model, system behavior is observed and simulated in terms of step and turbulent wind speed inputs. In addition, to verify the validity of the ASMC, the proposed controller is implemented in the FAST environment and the wind speed profiles are generated using TurbSim. In order to analyze the environmental effects on the dynamic behavior of the system, the controller performance is explored in presence of parametric uncertainties. It should be noted that rotor speed tracking error is evaluated and demonstrated through different criteria.
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Received: 2018/08/27 | Accepted: 2018/11/20 | Published: 2019/04/6

References
1. The World Wind Energy Association. WWEA half-year report: Worldwind wind capacity reached 456 GW [Internet]. Bonn: The World Wind Energy Association; 2016. [cited 2018 Aug 01]. Available from: https://wwindea.org/blog/2016/10/10/wwea-half-year-report-worldwind-wind-capacity-reached-456-gw/ [Link]
2. Carlin PW, Laxson AS, Muljadi EB. The history and state of the art of variable‐speed wind turbine technology. Wind Energy. 2003;6(2):129-159. [Link] [DOI:10.1002/we.77]
3. Fazlollahi V, Taghizadeh M. Modeling and design of dynamic state feedback controller with wind speed estimator, in variable speed wind turbines. Modares Mechanical Engineering. 2016;16(4):361-371. [Persian] [Link]
4. Gang X. Research on application of fuzzy PID in collective pitch control system. 2011 International Conference on Control, Automation and Systems Engineering (CASE), 30-31 July, 2011, Singapore, Singapore. Piscataway: IEEE; 2011. [Link] [DOI:10.1109/ICCASE.2011.5997553]
5. Bossanyi EA. Individual blade pitch control for load reduction. Wind Energy. 2003;6(2):119-128. [Link] [DOI:10.1002/we.76]
6. Zhang Y, Chen Z, Cheng M, Zhang J. Mitigation of fatigue loads using individual pitch control of wind turbines based on FAST. 2011 46th International Universities' Power Engineering Conference (UPEC), 5-8 September, 2011, Soest, Germany. Frankfurt: VDE; 2011. [Link]
7. Yang Z, Li Y, Seem JE. Individual pitch control for wind turbine load reduction including wake modeling. Wind Engineering. 2011;35(6):715-738. [Link] [DOI:10.1260/0309-524X.35.6.715]
8. Larsen AJ, Mogensen TS. Individuel pitchregulering af vindmølle [Dissertation]. Lyngby: Technical University of Denmark (DTU); 2006. [Danish] [Link]
9. Friis J, Nielsen E, Bonding J, Adegas FD, Stoustrup J, Odgaard PF. Repetitive model predictive approach to individual pitch control of wind turbines. 2011 50th IEEE Conference on Decision and Control and European Control Conference, 12-15 December, 2011, Orlando, Florida, USA. Piscataway: IEEE; 2011. [Link]
10. Jespersen S, Oldenbürger R. Individual pitch control for load mitigation [Dissertation]. Esbjerg: Aalborg University; 2017. [Link]
11. Leithead WE, Neilson V, Dominguez S, Dutka A. A novel approach to structural load control using intelligent actuators. 17th Mediterranean Conference on Control and Automation, 24-26 June, 2009, Thessaloniki, Greece. Glasgow: University of Strathclyde Glasgow; 2011. [Link]
12. Leithead WE, Neilson V, Dominguez S. Alleviation of unbalanced rotor loads by single blade controllers. The European Wind Energy Conference & Exhibition, 16-19 March, 2009, Marseille, France. Brussels: WindEurope; 2009. [Link]
13. Han Y, Leithead WE. Combined wind turbine fatigue and ultimate load reduction by individual blade control. Journal of Physics: Conference series. 2014;524:012062. [Link] [DOI:10.1088/1742-6596/524/1/012062]
14. Han Y, Leithead WE. Alleviation of extreme blade loads by individual blade control during normal wind turbine operation. Proceedings of EWEA (European Wind Energy Conference & Exhibition), 16-19 April, 2012, Copenhagen, Denmark.; 2012. [Link]
15. Sorensen KL, Galeazzi R, Odgaard PF, Niemann H, Poulsen NK. Adaptive passivity based individual pitch control for wind turbines in the full load region. American Control Conference, 4-6 June, 2014, Portland, Oregon, USA. Piscataway: IEEE; 2014. [Link] [DOI:10.1109/ACC.2014.6858651]
16. Jonkman J, Butterfield S, Musial W, Scott G. Definition of a 5-MW reference wind turbine for offshore system development [Internet]. Golden, Colorado: National Renewable Energy Laboratory; 2009 [cited 2018 Aug 01]. Available from: https://www.osti.gov/biblio/947422-definition-mw-reference-wind-turbine-offshore-system-development [Link] [DOI:10.2172/947422]

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