Synthesis of Fuzzy Controller for Cross-Flow Water Turbine

Ormandzhiev, Krasimir; Yordanov, Stanimir; Stoyanov, Stoyan

doi:10.1515/itc-2017-0017

Cited by 2 publications

(1 citation statement)

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“…Due to the presence of interference sources of random characteristics, additional secondary processes of unpredictable behavior and possible occurrence of errors as a result of system conversion processes, additional errors may occur thus considerably reducing accuracy when defining the dynamic error [11] - [14]. Therefore, in order to eliminate the influence of the above listed sources, adaptive algorithms (such as Kalman filter) need to be introduced in the measurement procedure [15] - [17]. They make possible the automatic adjustment of the measuring system when searching for optimal solutions according to the minimum mean square criterion.…”

Section: Dichev Et Al Methods For Measuring Motion Parameters Of Movimentioning

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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