Abstract
Information is provided regarding the developed model of the software-hardware complex of the automated flight instruction of cadets based on the reference image of the flight. It is proposed to model the movement of a helicopter between two support points as the movement of a material point that has mass and is affected by gravity. The movement model is represented by a system of differential equations of the first order, which describes the movement parameters: air speed, angle of inclination of the trajectory, flight height and distance of movement. Based on the existing regulatory rules for the operation of aircraft, a system of restrictions on movement parameters has been defined. The set of basic flight control bodies is substantiated, the laws of pilot control and restrictions on control parameters, which are also determined by the rules of helicopter operation, are set. The task of finding optimal control parameters at the stage of acceleration of a helicopter at a constant altitude has been formalized. The general structure of the adaptive search system has been built. Procedures for finding optimal parameters have been created using a combined method of finding optimal control parameters based on single-criteria conditional and vector optimization methods. Based on the model experiment, the optimal value of the parity criterion in the method of adaptive convolution of the optimal criterion vector is determined. The calculated data of the proposed model made it possible to find in real time the parameters of the movement of the helicopter under the control of the pilot, the history of the deviation of this movement from the ideal, and the dynamic forecast of such deviation. The possibility of obtaining predicted solutions in the case of existing linear control laws or approximate to linear control laws has been established experimentally. The parameters of the model were determined experimentally. A system of commands of an electronic instructor in verbal form is proposed for correcting the pilot's behavior and bringing his actions closer to optimal ones. Recommendations regarding the practical application of the developed model are substantiated.
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