Accurate alignment and efficient tracking of the satellite by an Earth station antenna to maintain the desired line of sight are critical for optimal power transfer and reliable signal reception. Incorrect alignment leads to instability and poor reception, which in turn increases operational costs. While conventional control strategies often fail to deliver the desired performance, many advanced control techniques are computationally expensive. This research presents a comparative performance analysis of a two-input Fuzzy Logic Controller (FLC) and a variable gain Nonlinear Proportional Integral Derivative (NPID) control strategy applied to an antenna azimuth positioning system. Simulations in MATLAB/Simulink evaluated both controllers under various scenarios, including fixed and variable reference signals, as well as external disturbances. The results show that the NPID controller provides a faster initial response of 0.1807s but with a significantly high overshoot of 33.22%. Conversely, the FLC demonstrates superior overall performance, characterized by minimal overshoot (2.4%), settling time (1.785 s), enhanced disturbance attenuation, and more stable tracking. The findings confirm that the FLC is a more effective and robust control solution for ensuring precise antenna alignment and reliable operation amidst system nonlinearities and external disturbances.