<p>Quadcopters are widely used in many fields due to their unique characteristics and simple structure. However, controlling a quadcopter remains challenging because it is an underactuated system. The main difficulties lie in achieving precise trajectory tracking and maintaining stability under disturbances and parameter uncertainties. This work investigates the development of a Fractional Order Synergetic Control (FOSC) approach optimized by the Equilibrium Optimizer (EO) algorithm to enhance the control performance of quadcopters under uncertain and disturbed conditions. The proposed method combines the advantages of fractional-order calculus with synergetic control theory, offering greater tuning flexibility, faster convergence, and reduced chattering. The controller parameters are automatically adjusted using the EO to improve optimal dynamic behavior. Closed-loop stability is verified through the Lyapunov direct method. To evaluate the effectiveness of the proposed FOSC technique, several simulations are carried out under different situations, including external disturbances, parametric uncertainties, and mass variation. A comparative study is also conducted to show the improvements of the proposed controller in tracking accuracy, response speed, and robustness. The obtained results confirm that the proposed FOSC provides superior trajectory tracking and disturbance rejection compared with conventional control approaches.</p>