<abstract xmlns="http://www.w3.org/1999/xhtml"><p>One of the most complex problems in measuring equipment is related to the provision of the required dynamic accuracy of measuring systems determining the parameters of moving objects. The present paper views an algorithm for improving the dynamic accuracy of such measuring systems. It is based on the Kalman method. The algorithm aims to eliminate the influence of a number of interference sources, each of which is of secondary significance. However, their total effect can cause considerable distortion of the measurement signal. The algorithm model is designed for gyro-free measuring systems. It is based on one of the most widely used elements in the dynamic systems, namely the physical pendulum, due to which measuring systems of high dynamic accuracy and low cost can be developed. The presented experimental results confirm the effectiveness of the proposed algorithm with respect to the dynamic accuracy of measuring systems of this type.</p></abstract>

One of the most complex problems in measuring equipment is related to the provision of the required dynamic accuracy of measuring systems determining the parameters of moving objects. The present paper views an algorithm for improving the dynamic accuracy of such measuring systems. It is based on the Kalman method. The algorithm aims to eliminate the influence of a number of interference sources, each of which is of secondary significance. However, their total effect can cause considerable distortion of the measurement signal. The algorithm model is designed for gyro-free measuring systems. It is based on one of the most widely used elements in the dynamic systems, namely the physical pendulum, due to which measuring systems of high dynamic accuracy and low cost can be developed. The presented experimental results confirm the effectiveness of the proposed algorithm with respect to the dynamic accuracy of measuring systems of this type.

A Kalman Filter-Based Algorithm for Measuring the Parameters of Moving Objects

Measurement Science Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"A Kalman Filter-Based Algorithm for Measuring the Parameters of Moving Objects"}

One of the most complex problems in measuring equipment is related to the provision of the required dynamic accuracy of measuring systems determining the...

A Kalman Filter-Based Algorithm for Measuring the Parameters of Moving Objects

Pubblicato online: 11 mar 2015

Pagine: 19 - 26

Ricevuto: 05 mag 2014

Accettato: 30 gen 2015

DOI: https://doi.org/10.1515/msr-2015-0004

Parole chiave
Kalman filter, dynamic error, gyro-free measuring system, roll, pitch, heel, trim

© Dimitar Dichev, Hristofor Koev, Totka Bakalova, Petr Louda

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A Kalman Filter-Based Algorithm for Measuring the Parameters of Moving Objects

Pubblicato online: 11 mar 2015

Pagine: 19 - 26

Ricevuto: 05 mag 2014

Accettato: 30 gen 2015

DOI: https://doi.org/10.1515/msr-2015-0004

Parole chiaveKalman filter, dynamic error, gyro-free measuring system, roll, pitch, heel, trim

© Dimitar Dichev, Hristofor Koev, Totka Bakalova, Petr Louda

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
Kalman filter, dynamic error, gyro-free measuring system, roll, pitch, heel, trim