Method for structural optimization of avionics of unmanned aerial vehicle

Pashchuk, Yu. M.; Salnyk, Yu. P.; Pashkovskyi, V. V.; Zaiets, Ya. H.; Miskiv, Volodymyr-Myron; Shkiliuk, O. P.

doi:10.23939/mmc2020.02.373

Cited by 3 publications

(8 citation statements)

References 14 publications

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“…Studies [13], [19] - [22], [26] take into account the possibility of mission implementation by the UAV fleet, but the fleet is not the subject of investigations and mission success is evaluated as the first, and the fleet's reliability and its factors are not examined. The reliability of a UAV fleet is influenced by many factors such as its structure or topology [16], [27], type of redundancy [13], [28], drone characteristics [29], heterogeneity [30], and others. The taxonomy in reliability analysis of UAV fleets has been proposed in [9] that shows the important factors of this analysis and one of them is the development of the mathematical model of UAV fleet.…”

Section: The Problem State Analysis: Methods For Reliability Evaluati...mentioning

confidence: 99%

“…In this step, the mathematical model can be defined as BSS, for the evaluation of two performance levels, or MSS, for the analysis of more than two performance levels. Most studies of UAV fleet reliability and its special aspects are based on BSS [3], [4], [6], [13] - [16], [28], [30]. The topological aspects of UAV fleets closely correlate with reliability and are taken into account in fleet reliability.…”

Section: The Problem State Analysis: Methods For Reliability Evaluati...mentioning

confidence: 99%

“…19 based on probabilities of performance levels (28). The comparison of the similar fleets availabilities (6) and probabilities of performance levels (28) shows that the second evaluation more detail and useful.…”

Section: B the Analysis Of The Availability Of Uav Fleets Of Differen...mentioning

confidence: 97%

“…For example, the similar experiment for analysis of irredundant fleet with the decentral control depending to the number of UAVs in Fig. 19 based on probabilities of performance levels (28). The comparison of the similar fleets availabilities (6) and probabilities of performance levels (28) shows that the second evaluation more detail and useful.…”

Section: B the Analysis Of The Availability Of Uav Fleets Of Differen...mentioning

confidence: 98%

“…The redundancy (Fig. 1) should be considered at the level of fleet and level of UAV [28]. Typically, in reliability analysis, two types of redundancy are investigated.…”

Section: A Mss Structure Function Background For a Uav Fleetmentioning

confidence: 99%

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Availability of UAV Fleet Evaluation Based on Multi-State System

Zaitseva,

Levashenko,

Mysko

et al. 2024

IEEE Access

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Unmanned Aerial Vehicle (UAV) applications are extended extremely. Some applications need to use several UAVs for a general mission which can be considered a UAV fleet. One of the important characteristics for the evaluation of a UAV or UAV fleet is reliability. There are studies in which methods for analysis of their reliability are considered. Reliability analysis of UAV fleets is less frequently studied, although a single UAV cannot be performed in many applications and requires the involvement of multiple UAVs. Typically, this analysis is based on evaluating two states as operational/functioning and faulting. This paper proposes a new method to calculate the availability of a UAV fleet as one of the reliability characteristics. Unlike well-known UAV fleet analysis approaches, in this paper, the availability is studied based on a mathematical model of a Multi-State System (MSS). MSS allows us to examine more than two states (operational and faulty) of the system, so this analysis is more detailed. In this paper, based on MSS, the analysis of various topologies of UAV fleets is implemented. This mathematical model is used for the analysis and evaluation of topologies of homogeneous and heterogeneous UAV fleets, which can be irredundant or redundant hot stable systems. The interpretations of different topologies of fleets as typical structures of MSS (series, parallel, k-out-of-n) are considered. New mathematical definitions of the availability of UAV fleets of different topologies based on MSS structure function are proposed. These definitions allowed us to consider the influence of the number of UAVs on the UAV fleet availability and compare the availabilities of considered topologies of fleets.

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Section: The Problem State Analysis: Methods For Reliability Evaluati...mentioning

confidence: 99%

Section: The Problem State Analysis: Methods For Reliability Evaluati...mentioning

confidence: 99%

Section: B the Analysis Of The Availability Of Uav Fleets Of Differen...mentioning

confidence: 97%

Section: B the Analysis Of The Availability Of Uav Fleets Of Differen...mentioning

confidence: 98%

“…The redundancy (Fig. 1) should be considered at the level of fleet and level of UAV [28]. Typically, in reliability analysis, two types of redundancy are investigated.…”

Section: A Mss Structure Function Background For a Uav Fleetmentioning

confidence: 99%

See 3 more Smart Citations

Availability of UAV Fleet Evaluation Based on Multi-State System

Zaitseva,

Levashenko,

Mysko

et al. 2024

IEEE Access

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A watermarking scheme for color images that achieves optimality using the Transit Search Algorithm

Tamimi,

Bencherqui,

Tahiri

et al. 2024

Math. Model. Comput.

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This paper describes an innovative watermarking method that combines discrete wavelet transform (DWT), Hessenberg decomposition (HD), and singular value decomposition (SVD). To do this, the main image and the watermark are divided into three channels (red, green and blue – RGB). Then, each part of the main image individually undergoes the steps of DWT, HD and SVD, while the watermark components are processed by SVD. Insertion of the watermark is carried out by adjusting the singular values of the watermark and the main image, using a watermark scaling factor (α). The optimal choice of α poses a challenge, so the transit search algorithm is employed to find a trade-off between visibility and robustness. To evaluate this method, comparisons are made with other studies using various optimization algorithms such as particle swarm optimization, artificial bee colony and fly optimization algorithm. The results of the experiments confirm the effectiveness of this technique.

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Review of Reliability Assessment Methods of Drone Swarm (Fleet) and a New Importance Evaluation Based Method of Drone Swarm Structure Analysis

et al. 2023

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Drones, or UAVs, are developed very intensively. There are many effective applications of drones for problems of monitoring, searching, detection, communication, delivery, and transportation of cargo in various sectors of the economy. The reliability of drones in the resolution of these problems should play a principal role. Therefore, studies encompassing reliability analysis of drones and swarms (fleets) of drones are important. As shown in this paper, the analysis of drone reliability and its components is considered in studies often. Reliability analysis of drone swarms is investigated less often, despite the fact that many applications cannot be performed by a single drone and require the involvement of several drones. In this paper, a systematic review of the reliability analysis of drone swarms is proposed. Based on this review, a new method for the analysis and quantification of the topological aspects of drone swarms is considered. In particular, this method allows for the computing of swarm availability and importance measures. Importance measures in reliability analysis are used for system maintenance and to indicate the components (drones) whose fault has the most impact on the system failure. Structural and Birnbaum importance measures are introduced for drone swarms’ components. These indices are defined for the following topologies: a homogenous irredundant drone fleet, a homogenous hot stable redundant drone fleet, a heterogeneous irredundant drone fleet, and a heterogeneous hot stable redundant drone fleet.

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Method for structural optimization of avionics of unmanned aerial vehicle

Cited by 3 publications

References 14 publications

Availability of UAV Fleet Evaluation Based on Multi-State System

Availability of UAV Fleet Evaluation Based on Multi-State System

A watermarking scheme for color images that achieves optimality using the Transit Search Algorithm

Review of Reliability Assessment Methods of Drone Swarm (Fleet) and a New Importance Evaluation Based Method of Drone Swarm Structure Analysis

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