Conceptual Analysis of Ways for Intellectualizing the Algorithmic Support of Fuzzy Motion Control of Remotely-Controlled Flying Vehicle

Based on detailed analysis of state-of-the-art in development of remotely-controlled flying vehicles (RCFV), their main drawbacks are revealed which are associated with a high sensitivity to conditions of functioning in the disquieted atmosphere. The ways are shown at the conceptual level for providing the invariance of flight-characteristics realization to turbulent disturbances and wind loads at the expense of solving problems on intellectualization of fuzzy-control algorithmic support for RCFV of the type under study. The proposed method of equivalent disturbances can make it possible to simplify the solving of a problem on synthesis of fuzzy controllers of hybrid structures of RCFVcontrol systems and to approach the process of learning of neuro-like systems in a new fashion on the basis of establishment the compatibility (for vehicle's particular dynamic characteristics) a priori simulated instabilities of the observed target image with characteristics of random processes, which are equivalent to random disturbances really acting in flight.