The state of the art in spacecraft attitude control is constantly evolving, seeking solutions aimed at meeting mission requirements while enhancing the robustness and stability characteristics of controllers. Within this context, the following thesis project is situated exploring, in the field of attitude control performed with RACS (Roll and Attitude Control System), an alternative to the classical and established QFR (Quaternion Feedback Regulator) approach through the application of an optimizer that exploits the application of the MPC (Model Predictive Control) method aiming at minimizing propellant consumption and number of thrusters activations, while simultaneously managing to meet several constraints, first and foremost that of reference thresholds (a constraint that for the types of maneuvers in which high pointing accuracy is required, becomes an additional term within the cost function).