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چكيده انگليسي :

Fault Tolerant Predictive Control of a Wind Turbine Using Parameter Estimation Mohammad Mahdi m mahdi@ec iut ac ir Date of Submission 06 01 2015 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisors Askari J j askari@cc iut ac ir Izadi I iman izadi@cc iut ac irAbstractDue to chronic dependence of the global economy on fossil fuels increasing concerns regardingenvironmental pollution and political issues of being contingent upon only one source of energy diversifying the sources of energy is of great importance Wind energy in particular is a promising choiceamong renewable energies It exists almost everywhere on earth and has also been utilized for a long time Wind farms are mostly located in mountainous and offshore areas where wind energy is ample however arriving at the site for maintenance is costly Moreover state of the art wind turbines are very large andexpensive thus their reliability is expected to be high In addition to increasing the reliability of eachcomponent during the production stage employing intelligent methods in control strategy such asincorporating fault tolerant specifications into the controller design will decrease wind turbine downtime This is a desirable result which is beneficial at least from an economical point of view In this thesis theproblem of fault tolerant control of a wind turbine benchmark has been addressed The wind turbine in thebenchmark is modeled at a system level and is exposed to dynamical and sensor faults The aim of the faulttolerant control problem is to design a controller to accommodate these faults We have designed a faulttolerant controller based on a hierarchical structure There are three levels for control action namely supervision controller nominal controller and fault accommodation controller The supervision controllerdecides whether the wind turbine should work in the power optimization mode or in the constant powergeneration mode The nominal controller is a nonlinear model predictive controller and its objective functionand constraints are selected based on the operation mode which is determined by the supervisory controller The fault accommodation controller determines control signals such that the faulty plant s response being asclose as possible to the nominal plant s response To be able to do so we have incorporated an adaptivemodel which is parameterized by the fault model parameters along with an update mechanism In order toupdate the fault model parameters in the adaptive model we have cast the parameter estimation problem intoan augmented nonlinear state estimation problem In order to solve the consequent estimation problem twodifferent nonlinear estimators particularly extended Kalman filter EKF and moving horizon estimator MHE have been implemented Simulations have been carried out for different fault scenarios and its resultsshow that the designed fault tolerant controller is able to accommodate various dynamical and sensor faults Simulation results also show that MHE outperforms EKF both in the states and fault parameters estimation Keywords Wind Turbine Fault Tolerant Control MPC MHE EKF

مهدي، محمد

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