A predefined-time consensus tracking control algorithm based on a command filter is proposed for multi-QUVs systems under false data injection (FDI) attacks. First, the command filter is introduced and an error compensation mechanism is constructed, which removes the influence of filtering errors on the system while avoiding the "complexity explosion" issue. Next, based on the relationship between the actual system state and the compromised state, a coordinate transformation is introduced. Combined with the Nussbaum function control method and adaptive control techniques, the issue of unknown control gain caused by FDI attacks is addressed. Then, by using the Lyapunov stability theory, it is proved that the system is predefined-time stable, all signals in the closed-loop system are bounded, and the consensus tracking error of the multi-QUAVs converges to the neighborhood near the origin within the predefined time. Finally, the effectiveness of the proposed control algorithm is verified by simulation examples.