This work addresses the issue of small-satellite attitude control. This satellite's Attitude-Control-System (ACS) is managed by an intelligent controller built on Adaptive Neuro- Fuzzy Inference System (ANFIS). ANFIS control approach is designed to improve the satellite's angular mobility along its axes. Two simulation scenarios have been tackled. In the first scenario, ACS system efficiency was evaluated and contrasted with ACS based on a PD controller optimized by a genetic-algorithm for the nonlinear system model and a Linear-Quadratic- Regulator (LQR) in the existence of input environmental disturbances. The simulation outcomes demonstrate that the proposed control technique successfully addresses the mobility issue of a small satellite. Inaccuracies in the satellite's parameters, torque noise brought on by the vibration of the actuators, and external disturbances were added in the second scenario. The proposed ANFIS controller has demonstrated robust, reliable performance for control of the ACS.