student
Russian Federation
employee
Russian Federation
employee
Mozhaisky Military Aerospace Academy (Department of Mathematical and Software Engineering, Professor)
employee
Russian Federation
VAK Russia 1.2.1
UDC 681.586
This paper presents a comprehensive analysis of the architecture, functional capabilities, and metrological properties of intelligent sensors, and proposes a method to enhance measurement accuracy. Purpose: to perform an indepth analysis of intelligent sensors (IS) in relation to rocket and space technology (RST) products, and develop a detailed approach for improving measurement accuracy via the introduction of structural redundancy. Methods: a systematic analysis of IS architectures and functionalities was undertaken, together with formulation of a procedure for realtime identification of IS parameters during operation under unknown input signals. Results: it has been demonstrated that the integration of IS featuring selfadaptation and metrological selfmonitoring fundamentally alters the architecture of distributed RST control systems. In addition, recommendations have been developed for selecting communication protocols appropriate to various RST subsystems. Practical significance: the establishment of criteria for the selection and design of IS, along with the introduction of a mathematical framework for creating IS with metrological selfmonitoring function to enhance the autonomy, reliability, and measurement accuracy of RST products.
measurement systems, artificial intelligence, self-diagnostics, intelligent processing, system on a chip, communication protocols, distributed control systems
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