针对疲劳试验机存在的“静标动用”的校准方式，导致实验精度下降，从而影响生产制造的问题，基于《轴向加力疲劳试验机》（JJG 556—2011）检定规程提出了高精度的疲劳试验机动态校准系统设计。该系统利用中机试验国产CLY系列轮辐式拉、压力传感器为核心测力元件辅以激光位移计和数据采集卡等装置，实现了对疲劳试验机动态力的精确采集。采用LabVIEW编写软件程序，功能包括：数据采集、等效刚度计算、惯性力修正、动态校准和数据查询等，确保了校准过程的自动化和结果的准确性。该系统支持广泛的采集量程（0~300 kN）和采集频率（0~200 Hz），满足了高、中、低频率试验机的校准需求。在GPS100高频疲劳试验机与PWS-300电液伺服疲劳试验机动态校准实验测试表明，惯性力修正后的校准结果误差控制在1%以内，符合国内外标准要求，有效实现了疲劳试验机动态力校准的功能。

The issue of diminished experimental accuracy arising from the "static-to-dynamic calibration" method employed in fatigue testing machines, which subsequently affects manufacturing processes, has prompted the development of a high-precision dynamic calibration system specifically designed for fatigue testing machines. Based on the Verification Regulation for Axial Force Fatigue Testing Machines(JJG 556—2011). The system utilizes domestically produced CLY series spoke-type tension and compression load sensors from SINOTEST Testing as its core force-measuring components. It is further enhanced by additional devices such as laser displacement sensors and data acquisition cards, facilitating precise measurement of dynamic forces in fatigue testing machines. The software program was written in LabVIEW, with functions including data acquisition, equivalent stiffness calculation, inertial force correction, dynamic calibration and data query, etc., ensuring the automation of the calibration process and the accuracy of the results. This system supports a wide range of acquisition volumes (from 0 kN to 300 kN) and acquisition frequencies (from 0 Hz to 200 Hz), meeting the calibration requirements of high, medium and low frequency testing machines. The dynamic calibration experiments of the GPS100 high-frequency fatigue testing machine and the PWS-300 electro-hydraulic servo fatigue testing machine show that the calibration result error after inertial force correction is controlled within 1%, which meets the requirements of domestic and international standards and effectively realizes the function of dynamic force calibration of the fatigue testing machine.