【摘要】：變保真度模型(Variable-fidelity modeling,VFM)作為一種有效的代理模型方法被廣泛用于工程設計,其中低保真度模型(Low-fidelity modeling,LF)用于獲取目標模型的整體趨勢,高保真度模型(High-fidelity modeling,HF)用于校正低保真度模型的準確度,二者通過橋函數(shù)(Bridge function,BF)融合,完成對目標模型的近似。將VFM用于預測自主水下航行器(Autonomous underwater vehicle,AUV)在外界工況(速度和攻角)下的流體動力參數(shù)(阻力系數(shù)、升力系數(shù)、力矩系數(shù)),其中高低保真度模型使用徑向基函數(shù)構建,橋函數(shù)使用克里金函數(shù)構建,從遺傳算法交叉算子產生的候選樣本集中選擇變保真度模型與高保真度模型誤差最大的樣本進行更新,最后建立變保真度代理模型。結果顯示VFM能夠準確描述流體動力參數(shù)在設計空間的變化;在相同的計算條件和時間下,VFM比高保真度模型精度高;隨著高保真度樣本的增加,模型的精度穩(wěn)步提升。
[Abstract]:Variable fidelity model (Variable-fidelity modeling,VFM), as an effective proxy model method, is widely used in engineering design, in which the low fidelity model (Low-fidelity modeling,LF) is used to obtain the overall trend of the target model. The high fidelity model (High-fidelity modeling,HF) is used to correct the accuracy of the low fidelity model. The two models are approximated to the target model by bridge function (Bridge function,BF) fusion. VFM is used to predict the hydrodynamic parameters (resistance coefficient, lift coefficient, torque coefficient) of autonomous underwater vehicle (Autonomous underwater vehicle,AUV under external conditions (velocity and angle of attack). The high and low fidelity model is constructed by radial basis function. The bridge function is constructed by Kriging function. The variable fidelity model and the sample with the largest error between the variable fidelity model and the high fidelity model are selected from the candidate sample set generated by the genetic algorithm cross operator to update. Finally, the variable fidelity proxy model is established. The results show that VFM can accurately describe the change of hydrodynamic parameters in design space; under the same calculation conditions and time, the accuracy of VFM is higher than that of high fidelity model; with the increase of high fidelity samples, the accuracy of the model increases steadily.
【作者單位】： 西北工業(yè)大學航海學院;
【基金】：國家自然科學基金資助項目(51375389)
【分類號】：O35;U661.1
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本文編號：2473450