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- W4297002444 abstract "ABSTRACTABSTRACTThe wind turbine (WT) dynamics are affected by wind variations and system parameter changes as well. To deal with the pitch control problem a Self-Tuning Controller (STC) with Proportional-Derivative (PD) structure has been proposed for the benchmark model (BM). This BM also models some sensors, actuators and system faults. The STC design herein is pivoted on a second-order auto-regressive exogenous (ARX) model. At first, three identification methods for the ARX model are presented: Recursive Least Square method (RLS), RLS with exponential forgetting (RLS-EF) and RLS with adaptive directional forgetting (RLS-ADF). In comparison, the performance of RLS-ADF is better than the rest two. The STC PD controller supersedes contemporary adaptive control approaches to fix up the generated power to its rating for above-rated wind. Secondly, on analysis, the proposed STC PD controller is fault-tolerant for nine types of faults. In the third stage, in extensive Monte Carlo Simulation (MCS), the sensitivity test to system parameter variation is carried out including the sensor faults. The result in the presence of a fault, as well as parameter variation, shows minimal deviation from normal conditions indicating the suitability of the STC PD controller to keep the system intact except in case of multiple faults.τaeAerodynamic torqueρAir thicknessAArea of a furling circle of bladesβPitch angleλTip speed ratioλoptOptimum tip speed ratioKoptProportionality constant in zone 2ωrtRotor speedCpPower extraction ratiocp,maxOptimum power extraction ratioνwWind velocityRBlade lengthβrReference pitch angleξDamping factorωnNatural frequencyτgeGenerator torqueτreReference torquePgGenerator outputJmRotational inertiaτge,rReference generator torqueαgcTime constant of generator-converter systemηgEfficiencyωgGenerator speedωnomNominal generator speedeControl errora1,a2,b1,b2Process parameterϕRegressorCoCovariance matrixKGain matrixucController outputyProcess outputλfForgetting coefficientεDirectional forget factorΦAdaptive directional forget factorρcPositive constantTDDifferential time constantwReference signalTsSampling timeKEYWORDS: ARXRLSSTCPDpitch controlmonte carlo simulation Disclosure statementNo potential conflict of interest was reported by the author(s).Nomenclature Self-tuning proportional-derivative pitch control for internal fault-tolerance in wind turbine benchmarkAll authorsS. Sahu & S. Beherahttps://doi.org/10.1080/1448837X.2022.2125974Published online:22 September 2022TableDisplay Table" @default.
- W4297002444 created "2022-09-25" @default.
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- W4297002444 date "2022-09-22" @default.
- W4297002444 modified "2023-09-27" @default.
- W4297002444 title "Self-tuning proportional-derivative pitch control for internal fault-tolerance in wind turbine benchmark" @default.
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- W4297002444 doi "https://doi.org/10.1080/1448837x.2022.2125974" @default.
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