A Method for Measuring Angular Orientation with Adaptive Compensation of Dynamic Errors

This article presents an integrated method for measuring the angular orientation of moving objects, combining a simplified mechanical structure to reduce instrumental errors with a hardware-software platform for adaptive compensation of dynamic errors. Unlike existing approaches, the method avoids inertial element stabilization by using an adaptive Kalman structure for real-time correction. Based on this method, a measuring system for determining roll and pitch has been developed and implemented using a two-channel measurement model with two independent signals and MEMS sensors. The accuracy of the system has been experimentally validated in both static and dynamic modes through a highly accurate reference system with traceability to international standards. A metrologically based methodology for quantitative assessment has also been developed, applying both the theory of error and the theory of uncertainty to provide an objective, reproducible, and traceable evaluation under real-world conditions.

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Publication Details

Journal
Sensors
Published
2025-08-09
DOI
https://doi.org/10.3390/s25164922
Citations
5
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
24.97

Funders

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A Method for Measuring Angular Orientation with Adaptive Compensation of Dynamic Errors

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A Method for Measuring Angular Orientation with Adaptive Compensation of Dynamic Errors

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article en
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Abstract

This article presents an integrated method for measuring the angular orientation of moving objects, combining a simplified mechanical structure to reduce instrumental errors with a hardware-software platform for adaptive compensation of dynamic errors. Unlike existing approaches, the method avoids inertial element stabilization by using an adaptive Kalman structure for real-time correction. Based on this method, a measuring system for determining roll and pitch has been developed and implemented using a two-channel measurement model with two independent signals and MEMS sensors. The accuracy of the system has been experimentally validated in both static and dynamic modes through a highly accurate reference system with traceability to international standards. A metrologically based methodology for quantitative assessment has also been developed, applying both the theory of error and the theory of uncertainty to provide an objective, reproducible, and traceable evaluation under real-world conditions.

SensorsVol. 25(16)
Technical University of Sofia (BG), Technical University of Gabrovo (BG)
European Regional Development Fund
Openalex Percentile: Top 1%
Inertial Sensor and Navigation
24.97
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