The report deals with the design of the intelligent support for flight test data processing in the problem of separate estimation of aircraft thrust and drag forces in flight experiment. The thrust and drag identification belongs to the class of incorrect inverse problems, for which reason it is not to be solved by general system identification methods and their applications to aerodynamic parameter estimation from the flight data. The paper considers the specific aspects of the intelligent support for thrust and drag identification from the automatic estimation viewpoint of identification accuracy. The proposed algorithms are tested at the set of data generated using a modern aircraft simulation facility. (C) 2017 The Authors. Published by Elsevier B.V.