摘要
等离子体模型中或多或少存在经验参数,这些经验参数一般需要通过一些特殊实验结果进行标定。本文从参数辨识的角度出发,通过Kriging近似模型和遗传算法对Shyy等人提出的DBD(Dielectric Barrier Discharge,简称DBD)等离子体模型进行了参数辨识。首先将等离子体作用区轮廓和最大电场强度E_0作为辨识参数,通过不同的目标函数的辨识结果筛选出辨识结果较为准确且稳定的目标函数;利用辨识结果,得出了新的等离子体区域轮廓和电场强度E_0的经验公式,获得更加准确的DBD等离子体唯象模型。并应用于DBD激励器对涡轮叶顶间隙流动控制的数值计算中。
There are certain empirical parameters in the DBD(dielectric barrier discharge) plasma actuators modeling, and these parameters need to be calibrated through some special experimental. In this paper, a parameters identification system for the model proposed by Shyy et al is established via the Kriging model and GA(Genetic Algorithm). The plasma active region profile and the maximum electric field intensity E_0 are chosen to be identified. This paper compares different results calculated by various objective functions in order to select the most accurate and steady function. Finally, new plasma active region outline and the expression of E_0 are rebuilt to acquire a more accurate DBD plasma actuators modeling. Using the new model, the effect of DBD plasma actuator on controlling the tip clearance leakage flow is investigated.
引文
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