波速赋值范围对PSO定位算法精度的影响

针对已知波速型声发射定位算法精度高度受制于初始波速测试准确性的问题，基于粒子群优化算法(PSO)开发了一种声发射定位算法，无需预先测试波速.以传感器接收到时差构建适应值函数，通过该算法求解此函数，得到声发射源位置和波速.研究不同波速赋值范围差、不同波速赋值范围上、下界与真实波速值的差值比(φ)对算法精度的影响. 在此基础上，开展断铅试验，对比分析PSO定位算法与单纯形定位算法的定位精度. 结果表明:不同波速赋值范围差、不同φ值下的PSO算法定位误差小于10%;当波速赋值范围差为2000m/s，且φ取1时，算法精度最高;本文算法定位精度明显优于传统单纯形定位算法.

Influence of Wave Velocity Range on Accuracy of PSO Location Algorithm

The accuracy of the known wave-speed acoustic emission positioning algorithm is highly restricted by the accuracy of the initial wave speed test， an acoustic emission location algorithm was developed based on the particle swarm optimization (PSO) algorithm no need to pretesting wave velocity. The fitness function was constructed based on the time difference received by the sensor， and the function was solved by the algorithm to obtain the acoustic emission source position and wave velocity. The influence of the difference of different wave speed assignment ranges and the difference ratio (φ) between the upper and lower bounds of different wave speed assignment ranges and the real wave speed value on the accuracy of the algorithm was studied. Then， a lead-off test was carried out to compare and analyze the location accuracy of the PSO algorithm and the simplex algorithm. The results show that the PSO algorithm location error is less than 10% under different wave velocity ranges and different φ values. When the wave velocity assignment range difference is 2000m/s and φ is 1， the algorithm accuracy is the highest. The positioning accuracy of the algorithm in this paper is significantly better than the traditional simplex positioning algorithm.