某机械陀螺长贮性能演变规律及性能退化模型研究

目的 针对长期贮存后机械陀螺的性能退化会影响制导系统侧偏和射程的问题,提出一种性能退化预测模型的建立方法,用于掌握机械陀螺长贮性能退化规律。方法 首先,针对机械陀螺结构特性和贮存环境,确定敏感应力为温度,加速模型为阿仑尼乌斯模型,开展机械陀螺的加速贮存试验。其次,对加速贮存试验过程中的机械陀螺进行周期性的参数检测,分析各性能参数随试验时间的性能退化演变规律,确定垂直漂移为其退化敏感参数。最后,拟合垂直漂移参数在各温度应力下的性能退化曲线,建立性能退化轨迹模型。结果 采用实际自然环境贮存6、7、8、10 a的性能数据对模型进行验证,模型预测准确度分别为86.70%、96.28%、91.53%、85.92%。结论 建立的性能退化模型评估准确度在85%以上,该模型可应用于指定贮存时间下机械陀螺仪的性能退化行为预测。

Performance Evolution Law and Degradation Model of Mechanical Gyroscope during Long-term Storage

The work aims to propose a method for establishing a performance degradation prediction model aiming at the problem that the performance degradation of mechanical gyroscope will affect the sideslip and range of guidance system after long-term storage, so as to master the performance degradation law of mechanical gyroscope during long-term storage. Firstly, according to the structure characteristic and storage environment of the mechanical gyroscope, the sensitive parameter was determined as temperature, the acceleration model was Arrhenius equation model, and the accelerated storage test was carried out to mechanical gyroscope. Secondly, the parameters of the mechanical gyroscope were periodically detected during the accelerated storage test and the performance degradation evolution law of the mechanical gyroscope under each performance parameter with the test time was analyzed, thus determining vertical drift as the degradation sensitive parameter. Finally, the performance degradation curves of vertical drift under various temperature stresses were fitted, and the performance degradation trajectory model was established. The model was verified by the performance data after storage for 6, 7, 8 and 10 years in the actual natural environment, with a prediction accuracy of 86.70%, 96.28%, 91.53% and 85.92%, respectively. The evaluation accuracy of the established performance degradation model is more than 85%, so the model can be applied to predict the performance degradation behavior of mechanical gyroscope for specified storage time.