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Multifactor and multicriteria uncertainty in aerodynamic modeling of the UAV by using flight data


Nguyen Quang Thuong – Dr. Sc. (Eng.), Professor, State University of Management (Moscow) E-mail: A.N. Nazarov – Dr. Sc. (Eng.), Professor, Moscow Institute of Physics and Technology (State University) E-mail: Tran Minh Hai – Post-graduate Student, Moscow Institute of Physics and Technology (State University) E-mail:

On the base of substantiation of multifactorial and multicriteria uncertainties in aerodynamic simulation of UAV by using flight data, here is showing the conditions for the stability of the design solution of UAV in multifactor and multicriteria uncertainties. This confirmed that the operating matrix solution was the initial statistical sample for rational use of project solution in the condition of multicriterial and multifactor uncertainties. The research problem of multifactor and multicriterial uncertainties in aerodynamic simulation of UAV by using flight data must be relevant for the further development of the method using statistical synthesis for the design solution in terms of various kinds of uncertainties. The problem of choosing the design solution proved the truth of principles of optimality and the sustainability in relation to the mass of uncontrollable factors. Spend the normalization of design solution. Normalization come true by introducing stabilizing functional. This is a variational problem onthe conditional extremum, which is solved by the method of Lagrange undetermined multipliers. Here is showing the role of operational matrix of solutions as a smoothing functional in the statistical synthesis for the general problem with multicriterial and multifactor uncertainties. With regard to the problems of aerodynamic simulation of UAV by using of experiment flight data, it is assumed that the device movement takes place without the roll, and thus derivatives from factor тх are not considered and presented in here the inverse ability of the aerodynamic model UAV.


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