使用基于差分进化算法的改进模糊逻辑系统预测两相流中的气体速度。
Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm.
作者信息
Babanezhad Meisam, Zabihi Samyar, Behroyan Iman, Nakhjiri Ali Taghvaie, Marjani Azam, Shirazian Saeed
机构信息
Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam.
Faculty of Electrical-Electronic Engineering, Duy Tan University, Da Nang, 550000, Vietnam.
出版信息
Sci Rep. 2021 Jan 27;11(1):2380. doi: 10.1038/s41598-021-81957-3.
In this investigation, differential evolution (DE) algorithm with the fuzzy inference system (FIS) are combined and the DE algorithm is employed in FIS training process. Considered data in this study were extracted from simulation of a 2D two-phase reactor in which gas was sparged from bottom of reactor, and the injected gas velocities were between 0.05 to 0.11 m/s. After doing a couple of training by making some changes in DE parameters and FIS parameters, the greatest percentage of FIS capacity was achieved. By applying the optimized model, the gas phase velocity in x direction inside the reactor was predicted when the injected gas velocity was 0.08 m/s.
在本研究中，将差分进化（DE）算法与模糊推理系统（FIS）相结合，并将DE算法应用于FIS的训练过程。本研究中所考虑的数据是从二维两相反应器的模拟中提取的，在该反应器中气体从底部注入，注入气体速度在0.05至0.11米/秒之间。通过对DE参数和FIS参数进行一些更改进行了几次训练后，实现了FIS最大容量百分比。通过应用优化模型，当注入气体速度为0.08米/秒时，预测了反应器内x方向的气相速度。
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