This paper presents an antenna azimuth position control system based on a Smell Agent Optimization (SAO) algorithm. Antenna positioning performance is often affected by external disturbances such as wind, which introduce uncertainties and result in communication signal loss. Conventional nonlinear Proportional– Integral–Derivative (PID) controllers enhanced with Smell Agent Optimization (SAO) have been widely used to regulate antenna azimuth systems; however, PID controllers are often unable to fully suppress external disturbances, leading to longer settling times during satellite signal acquisition. To overcome these limitations, this work develops a SAO-based PID control scheme for enhanced antenna position regulation. The antenna azimuth position model was implemented in MATLAB/Simulink, and SAO-NPID and PSO-PID controllers were designed and evaluated. Simulation results show that the proposed SAO-NPID controller achieves a settling time of 1.13s and a root mean square error (RMSE) of 0.034, compared to 1.20 s and 0.051 obtained with the SAO-NPID controller. This corresponds to an improvement of 5.83% in settling time and 33.33% in RMSE. The results demonstrate that the proposed SAO-NPID controller exhibits superior tracking performance and robustness in stabilizing antenna azimuth angles under disturbance conditions. All simulations were performed using MATLAB 2022b.