ADAPTIVE ESTIMATION OF AIRCRAFT MOVEMENT PARAMETERS IN THE MODE OF THE SET LANDING PATH TRAJECTORY

Abstract

The creation of a large number of new aircraft types and their intensive operation have led to an increase in air traffic. Guaranteeing the required level of safety requires continuous improvement of air traffic organization and control systems. This stimulates the modernization of existing and the creation of new types of radio equipment. In this work, the object of study is the processes of converting information signals in the goniometric channel of the radio landing system, and its goal is to achieve increased accuracy of angular measurements and their reliability by methods of secondary signal processing based on the basic principles of the theory of optimal linear discrete Kalman filter. It is shown that one of the possible ways to achieve this goal can be the use of a polymodel model of aircraft motion, supplemented by interacting logic of a stochastic type, as an effective, relatively simple resource-saving tool for overcoming a priori uncertainty of conditions and flight regime. Considerations are given regarding the adequacy of the mathematical model types used to describe a fixed aircraft approach trajectory. The issues of approximation of nonlinear dependences in the goniometric channel of the landing radar in the process of changing the coordinate system are considered. A technique for performing a computational experiment using the Monte Carlo method using the computing environment of the LabView modeling system is presented. The obtained results prove the effectiveness of the polymodel method for constructing a filter adapted to the needs of the aircraft landing process. The absence of discrepancies regarding the regulated standards for the accuracy of measuring the angular coordinates of the aircraft confirm this fact.