Nauki Techniczne

Bulletin of the Polish Academy of Sciences Technical Sciences

Opis

The Bulletin of the Polish Academy of Sciences Technical Sciences is published bimonthly by the Division IV Engineering Sciences of the Polish Academy of Sciences, since the beginning of the existence of the PAS in 1952. The journal is peer‐reviewed and is published both in printed and electronic form. It is established for the publication of original high quality papers from multidisciplinary Engineering sciences with the following topics preferred:

Artificial and Computational Intelligence,
Biomedical Engineering and Biotechnology,
Civil Engineering,
Control, Informatics and Robotics,

Electronics, Telecommunication and Optoelectronics,
Mechanical and Aeronautical Engineering, Thermodynamics,
Material Science and Nanotechnology,
Power Systems and Power Electronics.

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Journal Metrics:

JCR Impact Factor 2022:	1.2
5 Year Impact Factor 2020:	1.490
CiteScore 2022:	2.8
SCImago Journal Rank (SJR) 2022:	0.285
Source Normalized Impact per Paper (SNIP) 2022:	0.543
Ministry of Education and Science:	100 points

Abbreviated title: Bull. Pol. Acad. Sci. Tech. Sci.

ISSN

ISSN 2300-1917

Editorial Board 2023-2025

Editor-in-Chief:

A. Rogalski, Military University of Technology

Honorary (Past) Editor-in Chief:

T. Kaczorek, Warsaw University of Technology

M.P. Kaźmierkowski, Warsaw University of Technology

Deputy Editor-in-Chief:

B. Błachowski, Institute of Fundamental Technological Research PAN

M. Mrozowski, Gdansk University of Technology

Board of Topical Co-editors:

Artificial and Computational Intelligence

S. Osowski, B. Sawicki and T. Leś, Warsaw University of Technology

Biomedical Engineering and Biotechnology

D. Pijanowska, Institute of Biocybernetics and Biomedical Engineering PAN

Civil Engineering

L. Czarnecki, Building Research Institute, ITB, Warsaw

Ł. Sadowski, Wroclaw University of Science and Technology

Control, Robotics and Informatics

J. Klamka and A. Babiarz, Silesian Technical University

J. Stefanowski, Poznan University of Technology

Electronics, Telecommunication and Optoelectronics

M. Mrozowski and A. Lamęcki, Gdansk University of Technology

Mechanical and Aeronautical Engineering, Thermodynamics

B. Błachowski, Institute of Fundamental Technological Research PAN

G. Zboiński, Institute of Fluid-Flow Machinery PAN and University of Warmia and Mazury in Olsztyn

Materials Science and Nanotechnology

B. Major and P. Czaja, Institute of Metallurgy and Materials Science PAN

Power Systems and Power Electronics

J. Rąbkowski and M. Jasiński, Warsaw University of Technology

International Editorial Advisory Board

R. Asthana, University of Wisconsin-Stout, Menomonie, USA

Xu Binshi, China Association of Plant Engineering, Beijing, P.R. China

F. Blaabjerg, Aalborg University, Denmark

C. Cecati, University of L’Aquila, Italy

A. Cichocki, RIKEN Institute, Tokyo, Japan

M. David, National Polytechnique de Toulouse, France

R. Ebner, Materials Centre Leoben, Leoben, Austria

E. Fornasini, University of Padova, Padova, Italy

L.G. Franquelo, University of Sevilla, Spain

M. Gad-el-Hak, Virginia Commonwealth University, Richmond, USA

M. Giersig, Free University of Berlin, Germany

D. van Gemert, Catholic University Leuven, KU Leuven, Belgium

L. Keviczky, Hungarian Academy of Sciences, Budapest, Hungary

V. Kučera, Czech Technical University in Prague, Prague, Czech Republic

R. Kennel, Technical University Munich, Germany

T.A. Kowalewski, Institute of Fundamental Technological Research PAN

E. Levi, Liverpool John Moore University, UK

G. Maier, Technical University of Milan, Milan, Italy

K.F. Man, City University of Hong Kong,

R. Maniewski, Institute of Biocybernetics and Biomedical Engineering PAN

H.A. Mang, Austrian Academy of Sciences, Vienna, Austria

H. Mihashi, Tohoku University, Aoba-ku, Sendai, Japan

S. Mindess, University of British Columbia, Vancouver, Canada

D.A. Mlynski, University of Karlsruhe, Karlsruhe, Germany

A.S. Nowak, University of Michigan, Ann Arbor, USA

K. Ohnishi, Keio University, Yokohama, Japan

A. Öberg, Linköping University, Linköping, Sweden

W. Pedrycz, University of Alberta, Canada

M. Razeghi, Northwestern University, Evanston, USA

J. Rodriguez, University of Andres Bello, Santiago, Chile

J.V. Sloten, Catholic University Leuven, Leuven, Belgium

B.M. Wilamowski, University of Auburn, Alabama, USA

A.L. Yarin, University of Illinois at Chicago, USA

Du Xiangwan, Chinese Academy of Engineering, China

J. Żurada, Department of Computer Engineering, University of Louisville, USA

Editorial Office:

Pałac Kultury i Nauki

Wydział IV Nauk Technicznych PAN

Pl. Defilad 1

PL 00-901 Warszawa

Managing Editor:

Renata Podraza, e-mail: Renata.Podraza@pan.pl

Finance:

Katarzyna Łasak, e-mail: Katarzyna.Lasak@pan.pl

The Bulletin of the Polish Academy of Sciences Technical Sciences is an open access journal with all content available with no charge in full text version.

The journal content is available under the licencse CC BY 4.0 https://creativecommons.org/licenses/by/4.0/.

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Zawartość

Bulletin of the Polish Academy of Sciences Technical Sciences | 2024 | 72 | 4

1 Development of high-temperature permanent magnet synchronous motor for autonomous robotic navigation: a design and finite element analysis approach

M Anand , M Sundaram , P Sivakumar , A Angamuthu

Bulletin of the Polish Academy of Sciences Technical Sciences | 2024 | 72 | 4 | e150108 | DOI: 10.24425/bpasts.2024.150108

Słowa kluczowe: permanent magnet synchronous motor (PMSM) high temperature torque density power density efficiency

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Abstrakt

Traditional industrial robots come with prime movers, i.e. electric motors (EMs), which range from a few hundred to just a few kilo watts of power ratings. However, for autonomous robotic navigation systems, we require motors which are lightweight with the aspect of high torque and power density. This aspect is very critical when the EMs in robotic navigations are subjected to harsh high temperature survival conditions, where the sustainability of the performance metrics of the electromagnetic system of the EMs degrades with the prevailing high temperature conditions. Hence, this research work addresses and formulates the design methodology to develop a 630 W high temperature PMSM (HTPMSM) in the aspect of high torque and power density, which can be used for the autonomous robotic navigation systems under high temperature survival conditions of 200◦C. Two types of rotor configurations i.e. the surface permanent magnet type (SPM) and the interior permanent magnet type (IPM) of HTPMSM are examined for its optimal electromagnetic metrics under the temperature conditions of 200◦C. The 630 W HTPMSM is designed to deliver the rated torque of 2 Nm within the volumetric & diametric constraints of DxL, which comes at 80 × 70 mm at the rated speed of 3 000 rpm with the survival temperature of 200◦C and target efficiency greater than 90%. The FEM based results are validated through the hardware prototypes for both SPM and IPM types, and the results confirm the effectiveness of the proposed design methodology of HTPMSM for sustainable autonomous robotic navigation applications.

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Autorzy i Afiliacje

M Anand

e-mail:

ORCID:

M Sundaram

P Sivakumar

e-mail:

ORCID:

A Angamuthu

Department of Electrical and Electronics Engineering, PSG College of Technology, Tamilnadu, India

2 On applications of computer algebra systems in queueing theory calculations

M. Ziółkowski

Bulletin of the Polish Academy of Sciences Technical Sciences | 2024 | 72 | 4 | e150199 | DOI: 10.24425/bpasts.2024.150199

Słowa kluczowe: classical queueing models queueing systems with random volume customers and sectorized memory buffer generalized L’Hospital’s rule Stieltjes convolution Laplace and Laplace–Stieltjes transforms

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Abstrakt

In the present paper, the most important aspects of computer algebra systems applications in complicated calculations for classical queueing theory models and their novel modifications are discussed. We mainly present huge computational possibilities of Mathematica environment and effective methods of obtaining symbolic results connected with the most important performance characteristics of queueing systems. First of all, we investigate effective solutions to computational problems appearing in queueing theory such as: finding final probabilities for Markov chains with a huge number of states, calculating derivatives of complicated rational functions of one or many variables with the use of classical and generalized L’Hospital’s rules, obtaining exact formulae of Stieltjes convolutions, calculating chosen integral transforms used often in the above-mentioned theory and possible applications of generalized density function of random variables and vectors in these computations. Some exemplary calculations for practical models belonging both to classical models and their generalizations are attached as well.

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Autorzy i Afiliacje

M. Ziółkowski

e-mail:

ORCID:

Institute of Information Technology, Warsaw University of Life Sciences – SGGW, Poland

3 Rotor Flux and EEMF Observer for Interior Permanent Magnet Synchronous Machine

Deepak Vyas , Marcin Morawiec , Daniel Wachowiak

Bulletin of the Polish Academy of Sciences Technical Sciences | 2024 | 72 | 4 | e150327 | DOI: 10.24425/bpasts.2024.150327

Słowa kluczowe: field oriented-control interior permanent magnet synchronous machine model-based method sensorless control saliency-based techniques

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Abstrakt

In recent years, the use of the Interior Permanent Magnet Synchronous Machine (IPMSM) in various applications has grown significantly due to numerous benefits. Sensors are used to achieve high efficiency and good dynamic response in IPMSM drives but due to their high cost and reduce overall size of system,sensorless control techniques are preferred. Non-sinusoidal distribution of rotor flux and slot harmonics are present in the considered IPMSM. In this article, these problems are considered as control system disturbances. With the above-mentioned problems, the classical observer structure based on (d-q) fails to estimate at low-speed ranges. This article proposes an observer structure based on a rotor flux vector in (α-β) stationary reference frame, which works using the adaptive control law to estimate speed and position, and a non-adaptive EEMF-based observer to estimate speed and position. Moreover, a comparative analysis between both observer structures at the different speed ranges is also considered in this article. The effectiveness of the observer structure is validated by simulation tests and experimental tests using the sensorless control system with a field-oriented control scheme for 3.5 kW IPMSM drive system.

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Autorzy i Afiliacje

Deepak Vyas

Marcin Morawiec

Daniel Wachowiak

Department of Electric Drives and Energy Conversion, Faculty of Electrical and Control Engineering and EkoTech Center, Gdansk University of ´Technology, ul. Narutowicza 11/12, 80-233 Gdansk, Poland

Sergii Telenyk , Grzegorz Nowakowsk , Olena Gavrilenko , Mykhailo Miahkyi , Olena Khalus

Bulletin of the Polish Academy of Sciences Technical Sciences | 2024 | 72 | 4 | e150117 | DOI: 10.24425/bpasts.2024.150117

Słowa kluczowe: cryptocurrency exchange rate forecasting algorithms posts on social networks methods of statistical analysis information technology of intellectual analysis

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Abstrakt

In this work, the level of influence of the posts published by famous people on social networks on the formation of the cryptocurrency exchange rate is investigated. Celebrities who are familiar with the financial industry, especially with the cryptocurrency market, or are somehow connected to a certain cryptocurrency, such as Elon Musk with Dogecoin, are chosen as experts whose influence through social media posts on cryptocurrency rates is examined. This research is conducted based on statistical analysis. Real cryptocurrency exchange rate forecasts for the selected time period and predicted ones for the same period, obtained using three algorithms, are utilized as a dataset. This paper uses methods such as statistical hypotheses regarding the significance of Spearman’s rank correlation coefficient and Pearson’s correlation. It is confirmed that the posts by famous people on social networks significantly affect the exchange rates of cryptocurrencies.

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Autorzy i Afiliacje

Sergii Telenyk

Grzegorz Nowakowsk

Olena Gavrilenko

Mykhailo Miahkyi

Olena Khalus

Faculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24, 31-155 Cracow, Poland
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute,” Prosp. Peremohy 37, Kyiv, Ukraine

5 Enhancing nano grid connectivity through the AI-based cloud computing platform and integrating recommender systems with deep learning architectures for link prediction

Nagaraju Sonti , M S S Rukmini , Venkatappa Reddy Pamulapati

Enhancing Nano Grid Connectivity through AIBased Cloud Computing Platform AndIntegrating Recommender Systems with DeepLearning Architectures for Link Prediction | 2024 | 72 | 4 | e150113 | DOI: 10.24425/bpasts.2024.150113

Słowa kluczowe: cloud computing link prediction cloud recommendation nano-grid application deep learning

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Abstrakt

Cloud computing has become ubiquitous in modern society, facilitating various applications ranging from essential services to online entertainment. To ensure that quality of service (QoS) standards are met, cloud frameworks must be capable of adapting to the changing demands of users, reflecting the societal trend of collaboration and dependence on automated processing systems. This research introduces an innovative approach for link prediction and user cloud recommendation, leveraging nano-grid applications and deep learning techniques within a cloud computing framework. Heuristic graph convolutional networks predict data transmission links in cloud networks. The trust-based hybrid decision matrix algorithm is then employed to schedule links based on user recommendations. The proposed model and several baselines are evaluated using real-world networks and synthetic data sets. The experimental analysis includes QoS, mean average precision, root mean square error, precision, normalized square error, and sensitivity metrics. The proposed technique achieves QoS of 73%, mean average precision of 59%, root mean square error of 73%, precision of 76%, normalized square error of 86%, and sensitivity of 93%. The findings suggest that integrating nano-grid and deep learning techniques can effectively enhance the QoS of cloud computing frameworks.

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Autorzy i Afiliacje

Nagaraju Sonti

e-mail:

ORCID:

M S S Rukmini

Venkatappa Reddy Pamulapati

Department of ECE, Vignan’s Foundation for Science, Technology & Research, Vadlamudi, Andhra Pradesh, India
Azista Industries Pvt Ltd, Advanced Pixel Research Intelligence Lab, Hyderabad, Telangana, India

6 Interval type 2 fuzzy PI-enhanced state space model for battery management in battery electric utility vehicles operating in an indoor logistics environment

R. Arun Kumar , R. Sankar Ganesh

Bulletin of the Polish Academy of Sciences Technical Sciences | 2024 | 72 | 4 | e150330 | DOI: 10.24425/bpasts.2024.150330

Słowa kluczowe: fuzzy network battery electric utility vehicle state-space battery management systems interval type 2 fuzzy

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Abstrakt

This research presents an advanced control approach for battery management in battery electric utility vehicles (BEUV) operating in indoor logistics environments. The proposed approach utilizes a combination of proportional-integral (PI), fuzzy PI, and interval type 2 fuzzy PI (IT2fuzzyPI) control structures to augment the state space model for battery management. The state space model incorporates the voltage and current of each battery cell as state variables and considers the current demand from the electric motor as an input. By integrating fuzzy logic with PI control and considering uncertainty, the IT2fuzzyPI structure offers improved control recital and system robustness in the occurrence of nonlinearities, uncertainties, and turbulences. The outcomes of the simulation validate the effectiveness of the proposed scheme in managing the battery pack system’s state of charge and controlling the rates of charging and discharging. The IT2fuzzyPI control significantly improves the overall proficiency and longevity of the battery system, making it suitable for battery electric utility vehicles in logistics environments. This research contributes to the field of battery management systems, providing a valuable tool for designing and evaluating high-performance electric vehicles with enhanced control capabilities.

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Autorzy i Afiliacje

R. Arun Kumar

R. Sankar Ganesh

Electrical and Electronics Engineering, V.S.B. Engineering College, Karur, Tamil Nadu, India
Electrical and Electronics Engineering, K.S.R. College of Engineering, Tiruchengode, Tamil Nadu, India

7 Multi-unmanned aerial vehicle odor source location based on improved artificial fish swarm algorithm

Tao Ding , Wenhan Zhong , Yufeng Cai

Bulletin of the Polish Academy of Sciences Technical Sciences | 2024 | 72 | 4 | e150329 | DOI: 10.24425/bpasts.2024.150329

Słowa kluczowe: odor source location artificial fish swarm algorithm unmanned aerial vehicle active olfaction

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Abstrakt

Odor source location technology has important application value in environmental monitoring, safety emergency and search and rescue operations. For example, it can be used in post-disaster search and rescue, detection of hazardous gas leakage, and fire source detection. Existing odor source location methods have problems such as low search efficiency, inability to adapt to complex environments, and inaccurate odor source location. In this study, based on unmanned aerial vehicle technology and using swarm intelligence optimization algorithm, an improved artificial fish swarm algorithm (IAFSA) is proposed by combining curiosity in psychology on the basis of retaining the good optimization performance of the artificial fish swarm algorithm. The algorithm quantifies the curiosity of artificial fish searching high-concentration areas through a model, dynamically adjusts the artificial fish field of vision and step length with the calculated curiosity factor, and avoids the oscillation phenomenon in the later stage of the algorithm. Simulation results show that the IAFSA has a higher success rate and smaller location error. Finally, odor source location experiments were carried out in an indoor physical environment, the feasibility of the odor source location method proposed in this study is verified in actual scenarios.

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Autorzy i Afiliacje

Tao Ding

e-mail:

ORCID:

Wenhan Zhong

Yufeng Cai

China Jiliang University, Hangzhou, China
Zhejiang Light Industrial Products Inspection and Research Institute, Hangzhou, China

8 Modeling, analysis, and techno-economic assessment of a clean power conversion system with green hydrogen production

Toufik Sebbagh

Bulletin of the Polish Academy of Sciences Technical Sciences | 2024 | 72 | 4 | e150115

Słowa kluczowe: green hydrogen PV systems electrolysis energy conversion techno-economic optimization

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Abstrakt

The power sector confronts a crucial challenge in identifying sustainable and environmentally friendly energy carriers, with hydrogen emerging as a promising solution. This paper focuses on the modeling, analysis, and techno-economic evaluation of an independent photovoltaic (PV) system. The system is specifically designed to power industrial loads while simultaneously producing green hydrogen through water electrolysis. The emphasis is on utilizing renewable sources to generate hydrogen, particularly for fueling hydrogen-based cars. The study, conducted in Skikda, Algeria, involves a case study with thirty-two cars, each equipped with a 5 kg hydrogen storage tank. Employing an integrated approach that incorporates modeling, simulation, and optimization, the techno-economic analysis indicates that the proposed system provides a competitive, cost-effective, and environmentally friendly solution, with a rate of 0.239 $/kWh. The examined standalone PV system yields 24.5 GWh/year of electrical energy and produces 7584 kg/year of hydrogen. The findings highlight the potential of the proposed system to address the challenges in the power sector, offering a sustainable and efficient solution for both electricity generation and hydrogen production.

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