Quadcopters have emerged as a vital class of unmanned aerial vehicles (UAVs), supporting a broad range of practical applications. Many such tasks necessitate that the vehicle’s attitude reaches predefined setpoints within a prescribed time. However, conventional fixed-time controllers often achieve this at the expense of excessive energy consumption. This study introduces a fixed-time attitude control scheme for quadcopters that enhances convergence speed while significantly reducing energy usage. The work begins by modeling the quadcopter’s dynamics, followed by the design of an enhanced fixed-time sliding mode controller derived from the system model. The fixed-time stability and convergence of the resulting closed-loop system are rigorously established using Lyapunov-based analysis. Comprehensive numerical simulations are carried out to evaluate the performance of the proposed method. Comparative assessments with existing approaches highlight the superiority of the proposed controller.