基于PSO-LSN算法的冲击响应谱时域波形合成方法研究

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振动与冲击 ›› 2024, Vol. 43 ›› Issue (23) : 102-107.

论文

基于PSO-LSN算法的冲击响应谱时域波形合成方法研究

蒋辰玮，王军评，严侠

作者信息 +

Time domain waveform synthesis method of shock response spectrum based on PSO-LSN algorithm

JIANG Chenwei, WANG Junping, YAN Xia

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文章历史 +

摘要

针对冲击响应谱试验过程中，试件受非线性、局部共振等因素影响导致控制易出现局部超差，需多次修正迭代时域基波波形参数的问题，通过分析冲击响应谱试验结果主要影响因素及变化机理，提出基于自适应学习的空间邻域驱动策略粒子群算法(PSO-LSN)。根据粒子邻域相似性增强局部空间搜索能力，共享最优位置与速度信息，并结合自适应学习机制调整更新步长，实现对基于合成基波法的冲击响应谱时域波形合成优化。结果表明，基于PSO-LSN算法的时域波形合成在迭代前期对决策域空间有着较好的全局搜索能力，随着迭代次数的增加，其局部精细搜索能力明显提升，可获得高精准度的仿真计算结果，有效验证了算法的准确性和实用性，可为进一步提升冲击响应谱时域波形合成计算精度提供支撑。

Abstract

In the process of shock response spectrum (SRS) test, the specimen is affected by nonlinear, local resonance and other factors, which leads to local out-of-tolerance, and the fundamental wave shape parameters in the iterative time domain need to be corrected many times. By analyzing the main influencing factors and change mechanism of SRS test results, a spatial neighborhood driven strategy particle swarm optimization algorithm based on adaptive learning (PSO-LSN) was proposed. The local space search ability is enhanced according to the particle neighborhood similarity, the optimal position and velocity information is shared, and the update step is adjusted by combining the adaptive learning mechanism to realize the optimization of the time domain waveform synthesis of the shock response spectrum based on the synthetic fundamental wave method. The experimental results show that the time domain waveform synthesis based on PSO-LSN algorithm has a good global search ability in the decision domain space in the early stage of iteration. With the increase of the number of iterations, its local fine search ability is significantly improved, and high precision experimental results can be obtained, which effectively verifies the accuracy and practicability of the algorithm. It can provide support for further improving the accuracy of SRS time domain waveform synthesis calculation.

导出引用

蒋辰玮, 王军评, 严侠. 基于PSO-LSN算法的冲击响应谱时域波形合成方法研究[J]. 振动与冲击, 2024, 43(23): 102-107

JIANG Chenwei, WANG Junping, YAN Xia. Time domain waveform synthesis method of shock response spectrum based on PSO-LSN algorithm[J]. Journal of Vibration and Shock, 2024, 43(23): 102-107

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