为提高光电稳瞄系统内框架结构动力学模型准确度和仿真分析效率, 提出了基于多种群遗传退火算法的结构动力学模型修正方法。以某光电稳瞄系统内框架为研究对象, 通过动力子结构法建立有限元模型, 对比模态测试结果, 采用多种群遗传退火算法及相关性分析对有限元模型进行修正, 得到全局优化下内框架轴承的六向刚度值, 并对修正后的模型进行了实验验证。结果表明, 有限元模型与实验结果能较好地匹配, 各阶模态相关性在0. 8以上, 频率误差在9. 05%以内, 计算效率提高95%以上。最终形成了高效可行的模型修正方案, 为光电稳瞄系统内框架结构设计提供了重要的参考。

In order to improve the accuracy of the structural dynamic model of the inner gimbal of the electro-optical stabilized sighting system, and to improve the efficiency of the simulation analysis, a structural dynamic model updating method based on the multi-population genetic annealing algorithm was proposed. Taking the inner gimbal of an electro-optical stabilized sighting system as the object of study, we built the Finite Element Model (FEM) by using the dynamic substructure technique. Based on the modal test results, the FEM was updated by using the multi-population genetic annealing algorithm and the correlation analysis to obtain the six-dimensional stiffness value of the inner gimbal bearing in global optimization. An additional experiment was carried out to test the reliability of the updated FEM. The experiment result showed that FEM and the test result were well-matched, the correlation between the modals was over 0. 8, the frequency error was below 9. 05%, and the calculating efficiency was increased by 95%. Thus an effective and feasible model updating method was obtained, which is an important reference to the structure design of the inner gimbal of the electro-optical stabilized sighting system.