Hybrid intelligent modeling approach for online predicting and simulating surface temperature of HVs

Online prediction as well as online simulation of surface temperature will play a sig-nificant role in flight safety of future near space hypersonic vehicles(HVs).But it still remains a classical scientific problem both in thermodynamics and aerospace sci-ence.In view of the complex HV structure and complex heat conduction procedure,three-dimensional numerical simulation is too inefficient for online prediction,while cur-rent rapid computation methods cannot meet the requirement of accuracy.Therefore,a hybrid intelligent dynamic modeling approach is proposed to estimate the surface temperature of HV with the combination of mechanism equations,test data and intel-ligent modeling technology.A simplified model based on a mechanism equation and experimental formulas is presented for predicting or simulating transient heat conduc-tion procedure efficiently,while a case-based reasoning(CBR)algorithm is developed to estimate two uncertain coefficients in the simplified model.Furthermore,a support vector regression(SVR)-based model is developed to compensate the modeling error.With the data both from high-precision finite element computation and from real-world HV thermal protection experiments,a number of comparative simulations demonstrate the effectiveness of the proposed hybrid intelligent modeling approach.