The paper considers the algorithmic and methodologic support for detecting dynamic errors in aircraft on-board measurements using parameter identification and system approach to flight data analysis. Examples of practical application of the considered methods and algorithms for detecting dynamic errors in modern aircraft flight data are presented.
The optimal algorithm for calculating the altitude and vertical flight speed of an aircraft, which is based on complex processing of information from static pressure sensors, outdoor air temperature, and vertical acceleration is described. Information processing is performed using nonlinear estimation methods. Adaptive properties of the estimation algorithm are achieved by including into the state vector the parameters that characterize the properties of sensors and static pressure transmission paths.
The paper discusses the questions of constructing a mathematical model of the equilibrium of an airship in a parking lot with a two-cable parking scheme and also the problem of calculating forces acting on the elements of the cable system that holds the airship.
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