Data processing system for altitude navigation sensor

Sushchenko, Olha; Golitsyn, Volodymyr

doi:10.1109/msnmc.2016.7783112

Cited by 31 publications

(8 citation statements)

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“…But usually, it is necessary to form redundant configurations of inertial sensors. The papers [9,11,12] confirm the fact of relevance to use redundancy of navigation measurements in motion control systems of unmanned vehicles. The nonorthogonal redundant configuration consisting of triaxial MEMS sensors based on the triangular pyramid is represented in [13].…”

Section: Literature Review and Problem Statementmentioning

confidence: 59%

“…Nonorthogonal configurations based on triaxial inertial measuring units with full usage of measuring redundancy require the further research. The problem of navigation accuracy improvement is especially important for control of unmanned vehicles, for example, UAVs, as grounded in [9]. The possibilities to use redundant configurations in fault-tolerance navigation systems are researched in [10].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

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Theoretical and experimental assessments of accuracy of nonorthogonal mems sensor arrays

Sushchenko

Bezkorovainyi

Novytska

2018

EEJET

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Section: Literature Review and Problem Statementmentioning

confidence: 59%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Theoretical and experimental assessments of accuracy of nonorthogonal mems sensor arrays

Sushchenko

Bezkorovainyi

Novytska

2018

EEJET

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“…Non-collinear measurement devices based on triaxial inertial measurement units with full use of measurement redundancy require further study. The problem of improving navigation precision is especially important for the control of unmanned moving objects, such as unmanned aerial vehicles, as justified in [9]. Possibilities of application of excessive measurement devices in fault-tolerant navigation systems are investigated in [10].…”

Section: Analysis Of Literature and Problem Statementmentioning

confidence: 99%

Research of Precision of Non-collinear Inertial Measurement Devices

Sushchenko

Bezkorovainyi

Golitsyn

2021

ECS

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The non-collinear measurement devices based on the inertial triaxial devices, and structural units such as the triangular, and quadrangular polyhedrons are presented. The corresponding matrices of guide cosines are obtained. In contrast to the known non-collinear measurement devices, the measurements of all sensors that are part of the triaxial devices are taken into account. A description of the relative position of the measurement axes of the individual sensors in the proposed measurement devices is given. Theoretical estimation of non-collinear measurement devices of MEMS-sensors on the basis of uniaxial and triaxial angular velocity meters using correlation matrices of measurement errors is obtained. The obtained results are useful because they are aimed at providing high-precision and reliable measurements that is important for unmanned aerial vehicles, which are currently widely used in Ukraine.

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“…Recent research highlights that statistical data processing algorithms can be related to intelligence-based information technologies which use the principles of adaptivity, system and process approach, and robustness to improve efficiency [1][2][3][4][5][6]. Statistical data processing algorithms [7] can be used to improve the efficiency of aircraft operations given diagnostic variables and reliability parameters as initial data.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Maintenance Task Interval of Aircraft Systems

Okoro¹,

Zaliskyi²,

Dmytriiev³

et al. 2022

IJCNIS

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Maintenance accounts for approximately 20% of the operational cost of aircraft; a margin higher than cost associated with fuel, crew, navigation, and landing fees. A significant percentage of maintenance cost is attributed to failures of aircraft components and systems. These failures are random and provide a database which can further be analyzed to aid decision-making for maintenance optimization. In this paper, stochastic mathematical models which can potentially be used to optimize maintenance task intervals of aircraft systems are developed. The initial data for this research are diagnostic variables and reliability parameters which formed the basis for selecting the probability density function for time between failures according to the exponential and Erlang models. Based on the probability density functions, the efficiency of the maintenance processes was calculated using average operational cost per unit time. The results of the analysis were further tested using the Monte Carlo simulation method and the findings are highlighted in this paper. The simulation results compared favorably with analytical results obtained using already existing Monte Carlo techniques to about 82% accuracy. The proposed mathematical optimization models determine the optimal aircraft maintenance task interval which is cost effective while considering safety and reliability requirements; our results can also be applied during the development, design, and operation phases of aircraft systems.

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Data processing system for altitude navigation sensor

Cited by 31 publications

References 0 publications

Theoretical and experimental assessments of accuracy of nonorthogonal mems sensor arrays

Theoretical and experimental assessments of accuracy of nonorthogonal mems sensor arrays

Research of Precision of Non-collinear Inertial Measurement Devices

Optimization of Maintenance Task Interval of Aircraft Systems

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