Primary processing of telemetric information using dynamic models of parameter change and partial nonlinear filtration
Abstract
Introduction: At the stage of preliminary processing of telemetric information about the technical state of on-board spacecraft equipment, there is a need to detect changes in telemetry parameters which are important from the viewpoint of detecting and fixing emergencies. The solution of this problem is complicated by nonlinear character of change in the majority of on-board equipment functioning parameters and by various perturbations which cause changes in the analyzed telemetric parameters. Purpose: Developing a method of telemetry data processing in order to increase the reliability of heterogeneous telemetry information from spacecrafts under real perturbation and nonlinear changes in their parameters, based on filtering the time series of telemetric parameter values. Results: A method of telemetry information processing is proposed, based on dynamic models of change in telemetric parameters of on-board spacecraft equipment in phase space projections and partial nonlinear filtering of the analyzed time series, using stochastic approximation of state vector distribution probability density function. We discuss the advantages of primary processing of telemetric parameters of spacecraft airborne equipment in multidimensional phase space, provided by the possibility of selecting the most significant phase portrait projections from the viewpoint of filtering results. The developed algorithm of non-linear partial filtration allows you to adapt to the perturbation parameters. The validity of this method has been demonstrated for Gaussian and non-Gaussian perturbations at conditions under which the stability of linear filtration methods is violated. Practical relevance: The proposed approach is unified for processing of dissimilar telemetry parameters, providing an increase in estimation reliability of both functional and signal telemetric parameters of spacecrafts under real operating conditions.Published
2018-10-19
How to Cite
Maltsev, G., Yakimov, V., Soloviev, S., & Lebedeva, N. (2018). Primary processing of telemetric information using dynamic models of parameter change and partial nonlinear filtration. Information and Control Systems, (5), 22-34. https://doi.org/10.31799/1684-8853-2018-5-22-34
Issue
Section
System and process modeling