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Motivated by the increasing concerns over environmental challenges such asglobal warming and the exhaustion of fossil-fuel reserves, the renewable energyindustry has become the most demanded electrical energy production sourceworldwide. In this context, wind energy conversion systems (WECSs) are the mostdominant and fastest-growing alternative energy production technologies,playing an increasingly vital role in renewable power generation. To tackle thepitch control problem of WECSs, this thesis proposes an optimal fault-tolerantfractional-order pitch control strategy for pitch angle regulation of WT bladessubjected to sensor, actuator, and system faults. To showcast the effects offaults, changes in the system parameters are considered as a result of sensor,actuator and system faults with various levels of severity.} Furthermore,taking advantage of the favourable merits of higher-order SMCs and fractionalcalculus, this thesis develops a fault-tolerant fractional-calculus-basedhigher-order sliding mode controller for optimum rotor speed tracking and powerproduction maximization of WECSs. \textcolor{black}{The partial loss of thegenerator output torque is considered as an actuator failure, leading to lossof partial actuation power. Moreover, active fault-tolerant fractional-orderhigher-order SMC strategies are developed for rotor current regulation andspeed trajectory tracking of doubly-fed induction generator (DFIG) -drivenWECSs subjected to model uncertainties and rotor current sensor faults. Thedeveloped controllers are augmented with two state observers, an algebraicstate estimator and a sliding mode observer, to estimate the rotor currentdynamics during sensors' faults.

Optimal and Robust Fault Tolerant Control of Wind Turbines Working under Sensor, Actuator, and System Faults