基于粒子群优化算法的声波收发器优化布置数值模拟

摘要

The locations of acoustic sensors are optimized based on particle swarm optimization to better reconstruct the 2-D temperature field with acoustic theory.The simulation results show that the reconstruction precision with the optimized locations of sensors is 1.93%, higher than that of uniform arrangement when the measurement error of flight time is 5%.The simulation conclusion is explained by the effective through grid number proposed first in this arti-cle.The study has engineering application prospect due to easy change of sensor arrangement.%为了以声学法原理为基础更好地重建火焰二维温度场，结合粒子群优化算法对声波收发器布置位置进行了优化．仿真结果表明，在飞渡时间测量误差为5%，时，声波收发器在最优布置下的双峰温度场的重建精度比较广泛采用的均匀布置高1.93%，．提出“有效穿越网格数”的概念，并在此基础上对仿真结果进行了原理上的阐释．由于改变传感器布置方式易于实现，故该研究具有很大的工程应用前景．