Adaptive Integral Sliding Mode Control via Fuzzy Logic for Variable Speed Wind Turbines | Zendy

Yan Ren | Zendy; Gong Chuanli | Zendy; Dekuan Wang | Zendy; Dianwei Qian | Zendy

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Adaptive Integral Sliding Mode Control via Fuzzy Logic for Variable Speed Wind Turbines

Author(s) -

Yan Ren,

Gong Chuanli,

Dekuan Wang,

Dianwei Qian

Publication year - 2016

Publication title -

journal of robotics and mechatronics

Language(s) - English

Resource type - Journals

eISSN - 1883-8049

pISSN - 0915-3942

DOI - 10.20965/jrm.2016.p0921

Subject(s) - control theory (sociology) , wind power , turbine , fuzzy logic , variable speed wind turbine , sliding mode control , nonlinear system , schematic , torque , wind speed , computer science , variable (mathematics) , variable structure control , engineering , fuzzy control system , control engineering , power (physics) , generator (circuit theory) , mathematics , control (management) , physics , electronic engineering , artificial intelligence , mathematical analysis , electrical engineering , quantum mechanics , mechanical engineering , meteorology , thermodynamics

[abstFig src='/00280006/16.jpg' width='300' text='Schematic of a wind turbine' ] Concerning variable speed wind turbines, this study suggests a control scheme that combines integral sliding mode control (I-SMC) and fuzzy logic. The control task is to maintain the output power at the rated value for variable operating points. Wind turbines suffer from serious nonlinearities that challenge the control task. To attack the issue, the nonlinear turbine model is linearized at some typical operating points. Then, pitch-angle and generator-torque controllers based on the linearized turbine models are formulated by the I-SMC approach. Meanwhile, a fuzzy inference system is designed to weight those controllers. Not only the scheme can stabilize nonlinear wind turbines, but also the control system is robust to resist wind-speed variations. Some results are presented to show the performance of the control scheme.

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