[Objective] Aiming at the four-motor synchronous drive servo system, this paper investigates an event-triggered finite-time command filtering control (ET-FNCFC) strategy to ensure servo control performance while reducing control signal update frequency, addressing bandwidth resource constraints in network control applications such as teleoperation and high-power multi-axis servo systems. [Methods] Firstly, the dynamics model of the four-motor synchronous drive servo system was established, and the finite-time controller was constructed by employing the command filtering backstepping control technique. Combined with the improved cross-coupling synchronization architecture, synchronization feedback signals between the two sets of motors were designed to enhance inter-motor synchronization performance. Secondly, the event-triggered conditions were formulated to avoid the Zeno phenomenon, thereby reducing control signal update frequency while minimising the impact on control performance. Subsequently, the closed-loop system stability was rigorously proved using Lyapunov stability theory and finite-time stability lemma. Finally, simulation and analysis were carried out based on Matlab/Simulink to compare the proposed ET-FNCFC with the time-triggered finite-time command filtering control (TT-FNCFC). [Results] The sine signal was selected as the system tracking signal. The load tracking effect, tracking error, synchronization error, and trigger times of ET-FNCFC and TT-FNCFC were compared and analyzed. The results demonstrated that the proposed ET-FNCFC strategy rapidly converged to the desired reference signal, achieved lower synchronization error compared to TT-FNCFC, while significantly reducing event-induced communication frequency to conserve system resources. The simulation results validated both the effectiveness and advantages of the proposed strategy. [Conclusion] The event-triggered control strategy can effectively reduce the occupation of communication resources, and the finite-time synchronization control not only accelerates the convergence speed, but also achieves precise load tracking and motor synchronization, providing a new solution for the high-performance control of multi-motor drive systems.