Research On Compensation Methods Of Control-oriented Aerodynamic Modeling For Hypersonic Vehicle

In order to facilitate the control analysis and optimization design in the integrated design of hypersonic vehicles, the control-oriented aerodynamic model needs to be established. The aerodynamic characteristics of the hypersonic vehicles change dramatically and the highly coupled design will bring strong uncertainties. For this purpose, it is necessary to establish accurate, complete and practical aerodynamic model according to the specific flight conditions and the compensation model associated with the nolinear and time-varying characteristics. Based on the characteristics and control-oriented requirements of the hypersonic vehicles, this paper studies a precise and brief aerodynamic modeling method, in combination with the automated requirements in the integrated design. This will improve the fidelity and adaptation of the aerodynamic model by coupling with the compensation model, and at the same time will make that the aerodynamic model of hypersonic vehicles can guarantee the computational efficiency.In this paper, the object of this study is the airbreathing hypersonic vehicle, with consideration of the requirements for the model compensation, and the multivariate orthogonal function modeling is studied for establishing accurate and brief aerodynamic model automatically. Then the modeling data obtained from the different sources is combined for the better model using the updating method based on the original aerodynamic model. Analysis in the frequency domain is introduced for the compensation of the nolinear and unsteady aerodynamic. The updating method can make full use of all existing aerodynamic data, and automatically obtain the exact analytical aerodynamic model of hypersonic vehicles in terms of the control-oriented idea without the artificial work.Based on the theoretical principles, it is validated and evaluated for hypersonic aerodynamic modeling and updating methods using the simulation. The according results demonstrate the effenctiveness of the modeling and updating methods, and the established model has definite model structure, accurate parameter estimation and uncertainty. Furthermore, the analytical form and good prediction ability can meet the requirements for the control-oriented modeling.