基于遗传算法的炉膛温度场重建算法研究

在声学法锅炉温度场重建算法的原理基础上,提出一种遗传算重建温度场算法。在实验室条件下,对利用遗传算法温度场重建进行仿真研究,利用遗传算法对该网格进行插值、拟合,实现对待测温度场的重建,证实了遗传算法重建的优势。同时,应用遗传算法重建了声波在传输路径上具有弯曲效应的温度场。最后通过最大误差、最大相对误差、平均误差和均方根误差等评价指标得出遗传算法重建的温度场精度较高、重建速度较快的结论。与最小二乘法重建算法成像效果进行比较,仿真结果证明:利用遗传算法重建出的温度场具有更高的精度、更快的重建速度等特点。

Research of boiler temperature field reconstruction algorithm based on genetic algorithm

Based on the boiler temperature field reconstruction algorithm of acoustics principle , a temperature field reconstruction algorithm with genetic algorithm is proposed in this paper .Under laboratory condition, the recon-struct temperature field algorithm in use of genetic algorithm is simulated .Using genetic algorithm to interpolate the grid and fitting the measuring temperature field reconstruction is to achieve treatment , and the advantages of genetic algorithms reconstruction figure is confirmed .Meanwhile, the application of genetic algorithm reconstructs the acoustic temperature field with a curved effect on the transmission path .Finally, the reconstruction temperature field of the genetic algorithm has the conclusion of high accuracy temperature field and faster reconstruction speed with the maximum error, maximum relative error of evaluation, the average error and root mean square error of the algorithm.The simulation results show that the temperature field reconstruction algorithm using genetic algorithms has the characteristics of the higher accuracy and faster reconstruction speed compared with the method of least squares algorithm for image reconstruction results .