In this research, we investigated linear, predictive and stochastic control techniques applied to the pitch angle control of a Wind Turbine. The topology of the Wind Energy Conversion System (WECS) studied was the Fixed-Speed Variable-Pitch. The WECS, in general, is a system that, during their operation, is subject to the constant entry of stochastic disturbances. This type of disturbance is often neglected, which will negatively affect the performance of controllers whose design was based on deterministic models. Researches developed within the Predictive and Stochastic Control Theory, have proven the benefits of performing the design of controllers based on models that consider both the deterministic and stochastic portions of the process. Following this same design approach, the Picth Angle Control (PAC) project was developed, in this dissertation, using the Stochastic Augmentation (SA) of deterministic controllers. The main objectives sought, were: to minimize the energy consumption of the control system; and to reduce the costs related to the maintenance and replacement of actuators in the pitch angle control system. Simulation tests were performed on a MathWorks® WECS simulator. The results of the tests have proved the good performance of the PAC designed through the SA, which reached the control objectives sought with the development of this research.
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