Dynamic Measurement Error Evaluation and Minimization based on FIR-filter

Volosnikov, A.S.; Yurasova, E.V.

doi:10.1109/glosic.2018.8570128

Cited by 7 publications

(1 citation statement)

References 30 publications

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“…This complicated model for reproducing the direction of the vertical leads to a number of disadvantages such as a complex design resulting in a bigger instrumental error, low reliability under extreme conditions, need for special systems ensuring the operation of the gyro-vertical, larger dimensions, higher price of the instrument or system, etc. [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Method for Measuring Motion Parameters of Moving Objects

Dichev

Zhelezarov

Karadzhov

et al. 2019

ETR

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The paper considers a new method for measuring the angular deviations of moving objects. A specific measuring system is proposed to measure ship roll, pitch, heel and trim. The system consists of two measurement channels operating in parallel. The first channel is built on the position properties of a physical pendulum so as to build the base vertical. The second channel ensures the dynamic accuracy of the system. The principal of operation of the second channel involves correction of the signals from the first channel by using information obtained from linear MEMS accelerometers. To increase system measurement accuracy, a signal processing module is used through the Kalman filter algorithm.

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Section: Introductionmentioning

confidence: 99%