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Abstract

The article introduces a new proposal of a defuzzification method, which can be implemented in fuzzy controllers. The first chapter refers to the origin of fuzzy sets. Next, a modern development based on this theory is presented in the form of ordered fuzzy numbers (OFN). The most important characteristics of ordered fuzzy numbers are also presented. In the following chapter, details about the defuzzification process are given as part of the fuzzy controller model. Then a new method of defuzzification is presented. The method is named center of circles intersection (CCI). The authors compare this method with a similar geometric solution: triangular expanding (TE) and geometric mean (GM). Also, the results are compared with other methods such as center of gravity (COG), first of maxima (FOM) and last of maxima (LOM). The analysis shows that the proposed solution works correctly and provides results for traditional fuzzy numbers as well as directed fuzzy numbers. The last chapter contains a summary, in which more detailed conclusions are provided and further directions of research are indicated.

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Authors and Affiliations

H. Zarzycki
W.T. Dobrosielski
Ł. Apiecionek
T. Vince
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Abstract

Hydrocarbon production under certain geological conditions of these deposits can cause surface subsidence and deformation of the terrain surface. Such deformations appear as subsidence troughs of considerable range and the magnitude of the subsidence depending on the total thickness of the reservoir, compaction properties of reservoir and on the number of other factors. In the past there have been widely recognized magnitudes of the subsidence up to 9 meters. The stress zones in the subsidence trough may affect the buildings and surface structures. However there have been well known some cases of destroyed boreholes or pipelines belonging to the gas or oil mine. Therefore there is a requirement to analyze the possibility of occurrence unfavorable phenomenon on the ground surface, to monitor surface deformations during production and to protect surface infrastructure located in the range of mining influences. In the paper the issue of surface subsidence caused by hydrocarbon production has been presented. The cause - effect relationship between the compaction of thereservoir rock and the subsidence of surface area has been assumed. The prediction model base on the influence function and on the superposition of elementary influences. For the purpose of building damage protection a new model of risk assessment has been developed. This model base on the elements of fuzzy logicallows to incorporate in the analysis the quantitative and qualitative factors that contribute to the risk of building damage. Use of the fuzzy logic made it possible to obtain one value which clearly discriminate the risk of buildings damage. However, risk analyzes of damage to the large number of buildings has been required additional tools. The spatial analysis has been made by using GIS. The subjects of the paper have been illustrated with a practical example.

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Authors and Affiliations

Ryszard Hejmanowski
Agnieszka Malinowska
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Abstract

Wireless Sensor Networks (WSN) acquired a lot of attention due to their widespread use in monitoring hostile environments, critical surveillance and security applications. In these applications, usage of wireless terminals also has grown significantly. Grouping of Sensor Nodes (SN) is called clustering and these sensor nodes are burdened by the exchange of messages caused due to successive and recurring re-clustering, which results in power loss. Since most of the SNs are fitted with nonrechargeable batteries, currently researchers have been concentrating their efforts on enhancing the longevity of these nodes. For battery constrained WSN concerns, the clustering mechanism has emerged as a desirable subject since it is predominantly good at conserving the resources especially energy for network activities. This proposed work addresses the problem of load balancing and Cluster Head (CH) selection in cluster with minimum energy expenditure. So here, we propose hybrid method in which cluster formation is done using unsupervised machine learning based kmeans algorithm and Fuzzy-logic approach for CH selection.
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Authors and Affiliations

Basavaraj M. Angadi
1
Mahabaleshwar S. Kakkasageri
1

  1. Faculty of Electronics and Communication Engineering Department,Basaveshwar Engineering College, Bagalkote, Karnataka, INDIA
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Abstract

This paper is focused on multiple soft fault diagnosis of linear time-invariant analog circuits and brings a method that achieves all objectives of the fault diagnosis: detection, location, and identification. The method is based on a diagnostic test arranged in the transient state, which requires one node accessible for excitation and two nodes accessible for measurement. The circuit is specified by two transmittances which express the Laplace transform of the output voltages in terms of the Laplace transform of the input voltage. Each of these relationships is used to create an overdetermined system of nonlinear algebraic equations with the circuit parameters as the unknown variables. An iterative method is developed to solve these equations. Some virtual solutions can be eliminated comparing the results obtained using both transmittances. Three examples are provided where laboratory or numerical experiments reveal effectiveness of the proposed method.
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Bibliography

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[2] W.M. Ambrósa, C.H. Sampaioa, Bogdan G. Cazacliub, Paulo N.Conceiçãoa and Glaydson S.dos Reisab, “Some observations on the influence of particle size and size distribution on stratification in pneumatic jigs”, Powder Technology, Vol. 342, pp. 594-606, 2019. https://doi.org/10.1016/j.powtec.2018.10.029.
[3] M.V. Verkhoturov, “Gravitational enrichment methods”. Moscow: MAX Press, 2006, pp.160- 180. ISBN 5-317-01710-6.
[4] Ya-li Kuang, Jin-Wu Zhuo, Li Wang, Chao Yang, “Laws of motion of particles in a jigging process”, Journal of China University of Mining and Technology, Vol. 18, no 4, pp. 575-579, December 2008. https://doi.org/10.1016/S1006-1266(08)60297-7.
[5] S.Cierpisz. “A dynamic model of coal products discharge in a jig”, Minerals Engineering, Vol. 105, pp. 1-6, 1 May 2017. https://doi.org/10.1016/j.mineng.2016.12.010.
[6] B.A. Suleimenov and Ye.A. Kulakova, “The prospects for the use of intelligent systems in the processes of gravitational enrichment”, Informatyka, Automatyka, Pomiary w Gospodarcei Ochronie Środowiska, Vol. 9, no 2, pp. 46-49, 2019. https://doi.org/10.5604/01.3001.0013.2547.
[7] Y.R. Murthy, S.K. Tripathy, C.R. Kumar, “Chrome ore beneficiation challenges & opportunities – A review”, Minerals Engineering, Vol. 24, no 5, pp. 375-380, 2011, DOI: https://doi.org/10.1016/j.mineng.2010.12.001.
[8] L. Panda, S.K. Tripathy, “Performance prediction of gravity concentrator by using artificial neural network – A case study”. International Journal of Mining Science and Technology, Vol. 24, no 4, pp. 461-465, 2014. https://doi.org/10.1016/j.ijmst.2014.05.007.
[9] Y.R. Murthy, S.K. Tripathy, C.R. Kumar, “Chrome ore beneficiation challenges & opportunities-a review”, Minerals Engineering, Vol. 36, no 5, pp. 375-380, 2014, https://doi.org/10.1016/j.ijmst.2014.05.007.
[10] T. J. Stich, and J.K. Spoerre and T.Velasco, “The application of artificial neutral networks to monitoring and control of an induction hardening process”, Journal of Industrial Technology, Vol. 16, no 1, pp.168-174, 2015.
[11] L.Panda, A.K. Sahoo, S.K Tripathy and others, “Application of artificial neural network to study the performance of jig for beneficiation of noncoking coal”, Fuel, Vol. 97, pp. 151-156, 2012. https://doi.org/10.1016/j.fuel.2012.02.018.
[12] K. Shravan and R. Venugopal, “Performance analyses of jig for coal cleaning using 3D response surface methodology”, International Journal of Mining Science and Technology, Vol. 27, no 2, pp 333-337, March 2017.
[13] B.A. Suleimenov and E.A. Kulakova, “Development of intelligent system for optimal process control”, Resource–saving technologies of raw–material base development in mineral mining and processing: Multy–authored monograph, Universitas Publishing, Romania, Petrosani: 2020, pp.198-217. URI: ep3.nuwm.edu.ua/id/eprint/18359.
[14] V. Mashkov, A. Smolarz, V. Lytvynenko, and K. Gromaszek, “The problem of system fault-tolerance”, Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, vol. 4, no. 4, pp. 41-44, 2014, https://doi.org/10.5604/20830157.1130182
[15] M. S. Islam, P. Nepal and others. “A knowledge-based expert system to assess power plant project cost overrun risks”, Expert Systems With Applications, Vol. 136, pp. 12-32, 2019. https://doi.org/10.1016/j.eswa.2019.06.030.
[16] B.A.Suleimenov and E.A Kulakova, “Creation the knowledge base of the intelligent control system for gravitational enrichment processes using expert information processing methods”, Vestnik KazNRTU, Vol. 5, no 141, pp. 590-597, October 2020.
[17] Ye.A. Kulakova and B.A. Suleimenov, “Development and Research of Intelligent Algorithms for Controlling the Process of Ore Jigging”, International Journal of Emerging Trends in Engineering Research, Vol. 8, no 9, pp. 6240-6246, September 2020. https://doi.org/10.30534/ijeter/2020/21589202.
[18] N. Siddique. “Intelligent Control”, Springer International Publishing, Switzerland, 2014, pp.54-78. https://doi.org/10.1007/978-3-319-02135-5.
[19] P.V. de Campos Souza, “Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature” Applied Soft Computing. Vol. 92, pp. 106275, July 2020. https://doi.org/10.1016/j.asoc.2020.106275.
[20] A.Tripathy, L.Panda, A.K Sahoo, S.K. Biswal, R.K Dwari, A.K. Sahu, “Statistical optimization study of jigging process on beneficiation of fine size high ash Indian non-coking coal”, Advanced Powder Technology, Vol. 27, no 4, pp. 1219-1224, 2016. https://doi.org/10.1016/j.apt.2016.04.006.
[21] A.K. Mukherjeea and B.K. Mishrab, “An integral assessment of the role of critical process parameters on jigging”, International Journal of Mineral Processing Vol. 81, no 3, pp. 187-200, December 2006. https://doi.org/10.1016/j.minpro.2006.08.005.
[22] N.(K.)M. Faber, “Estimating the uncertainty in estimates of root mean square error of prediction: application to determining the size of an adequate test set in multivariate calibration”, Chemometrics and Intelligent Laboratory Systems, Vol. 49, no 1, pp. 79-89, 6 September 1999, https://doi.org/10.1016/S0169-7439(99)00027-1.
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Authors and Affiliations

Yelena Kulakova
1
Waldemar Wójcik
2
Batyrbek Suleimenov
1
Andrzej Smolarz
2

  1. Satbaev University, Almaty, Kazakhstan
  2. Lublin University of Technology, Lublin, Poland
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Abstract

This paper presents a method based on the use of fuzzy logic for the rapid selection of optimal induction sintering parameters. The prepared fuzzy controller uses expert knowledge developed from the results of induction sintering tests of Ti-5Al-5Mo-5V-3Cr alloy green compacts produced from a mixture of elemental powders. The analysis of the influence of the applied sintering parameters on the material characteristics was based on the evaluation of the microstructure state and the measurement of the relative density of the samples after sintering. In this way, a universal tool for estimating the sintering parameters of titanium powder-based green compacts was obtained. It was shown that with the help of fuzzy logic it is possible to analyze the influence of the parameters of the manufacturing process of metal powder materials on the quality of the obtained products.
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Authors and Affiliations

K. Zyguła
1
ORCID: ORCID
M. Wojtaszek
1
ORCID: ORCID

  1. AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, Al. Mickiewicza 30, 30-059 Kraków, Poland
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Abstract

The information technologies for assessing the quality of IT-specialties graduates' training of university by means of fuzzy logic and neural networks are developed in the article. It makes possible taking into account a wide set of estimation and output parameters, influence of the external and internal factors and allows to simplify the assessing process by means of modern mathematical apparatuses of artificial intelligence.

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Authors and Affiliations

Anzhelika O. Azarova
Larysa E. Azarova
Sergii V. Pavlov
Nataliia B. Savina
Iryna S. Kaplun
Waldemar Wójcik
Saule Smailova
Aliya Kalizhanova
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Abstract

Construction objects must be protected not only at the stage of their construction, but also during exploitation. Particular attention should be paid to objects included in the list of monuments. The Act on the Protection of Monuments and the Guardianship of Monuments states that any building that is important for history and science can become a heritage building and should therefore be preserved. The aim of this article was to improve the method of visual assessment of the technical condition of heritage buildings with the use of fuzzy logic. The improved method is to facilitate the comparison of assessments of the technical condition of a building performed at intervals specified in the regulations, often by different people. The research was conducted on the basis of technical expertise prepared for five examined buildings that were tenement houses entered in the register of monuments. The use of the visual method provides for the assessment of individual elements of the object by an expert and a verbal description of the elements using a five-point scale. A significant limitation of this method is uncertainty associated with the exact ranges of the acceptable values, as these ranges are subjective and depend on the opinion of an evaluator. The impact of this limitation can be reduced by applying fuzzy logic. In the fuzzy logic model, as input variables the following were applied; assessments of the technical condition of individual elements of the object (underground structure, load-bearing walls, ceilings, roof, other elements) and an integral indicator of the technical condition of the entire historic object, calculated as the output value.
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Authors and Affiliations

Marzena Lendo-Siwicka
1
ORCID: ORCID
Roman Trach
1
ORCID: ORCID
Katarzyna Pawluk
1
ORCID: ORCID
Grzegorz Wrzesiński
1
ORCID: ORCID
Ada Żochowska
1
ORCID: ORCID

  1. Warsaw University of Life Sciences-SGGW, Institute of Civil Engineering, ul. Nowoursynowska159, 02-776 Warsaw, Poland
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Abstract

The growing interest in green energy observed in recent years has become the basis for pilot studies on its electricity production role in Poland. The diagnostic survey method allowed us to learn about young people’s opinions on renewable energy sources in the context of four identified research areas (the need for RES, planning its installation, costs, environmental impact). The authors proposed a method based on fuzzy logic (fuzzy relations and optimistic fuzzy aggregation norms) to develop and interpret the survey results to understand the selected community’s knowledge about the importance of RES (or not) in the national energy system. The survey shows that although there is no significant difference between respondents in all research areas, rural women are more interested in using green technologies. They have a high self-awareness of their beneficial effects on the environment. Rural respondents, compared to those from the cities, are willing (despite the high cost of equipment) to invest their capital to purchase green energy carriers, which is dictated by their lower knowledge about the forms of external support. Depending on the residence place, respondents selected various government aid programs for renewable energy. People from the city decided mainly on those that would improve the air’s comfort and quality in their place of residence. On the other hand, the rural areas’ inhabitants focused their attention on the aid possibilities, which would reduce the energy costs of the farms they run in the future. All the respondents agree that investments in clean energy (coming from natural sources) will translate into broadly understood environmental protection, bringing mutual benefits for everyone.
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Authors and Affiliations

Jolanta Barbara Cichowska
1
Aleksandra Mreła
2
ORCID: ORCID
Oleksandr Sokolov
3
ORCID: ORCID

  1. Faculty of Civil and Environmental Engineering and Architecture, University of Science and Technology in Bydgoszcz, Poland
  2. Institute of Informatics, Kazimierz Wielki University in Bydgoszcz, Poland
  3. Department of Informatics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Toruń, Poland
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Abstract

This paper highlights the storage charging and discharging issue. The study objective is to manage the energy inputs and outputs of the principal grid at the same time in order to maximize profit while decreasing costs, as well as to ensure the availability of energy according to demand and the decisions to either save or search for energy. A fuzzy logic control model is applied in MATLAB Simulink to deal with the system’s uncertainties in scheduling the storage battery technology and the charging- discharging. The results proved that the fuzzy logic model has the potential to efficiently lower fluctuations and prolong the lifecycle.
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Authors and Affiliations

Meryem Meliani
1
ORCID: ORCID
Abdellah El Barkany
1
Ikram El Abbassi
2
Rafik Absi
2
Faouaz Jeffali
3

  1. Mechanical Engineering Laboratory, Faculty of Science and Technology, Sidi Mohammed Ben Abdellah University, Morocco
  2. ECAM, EPMI, France
  3. Laboratory of Materials, Waves, Energy and Environment, Mohammed First University, Morocco
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Abstract

The list of potential hazards related to concrete elements and structures prestressed with the use of unbonded tendons, including the flat slabs, is long and fairly well recognized. In addition to the standard accidental events this list includes: mishandling during construction, small fire, local corrosion, loss of bond at the anchorage, second order effects, brittle fracture of elements, etc. Despite of these hazards related to unbonded post-tensioning, this type of structures are extensively promoted and used in practice thanks to the possibility of the large span floors and innovative character of this technology. The paper presents a proposal for the application of risk analysis to assess the robustness of structures with flat slabs prestressed with unbonded tendons. The adoption of variables that determine risk and robustness as fuzzy numbers assigned to linguistic variables are proposed. Numerical example is presented to demonstrate risk and robustness assessment of building structure with unbonded posttensioned slabs supported directly on columns.
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Bibliography

[1] F. Knoll, T. Vogel, Design for Robustness. Structural Engineering Documents No11. Zurich: IABSE, 2009, ISBN 978-3-85748-120-8.
[2] Santa Fe Institute, RS-2001-009, Working definitions of robustness, 2001. [Online].Available: http://discuss.santafe.edu/robustness/sories.
[3] E.A.P. Liberati, C.G. Nogueira, E.D. Leonel, “Nonlinear formulation based on FEM, Mazars damage criterion and Fick’s law applied to failure assessment of reinforced concrete structures subjected to chloride ingress and reinforcements corrosion”, Engineering Failure Analysis, 2014, vol. 46, pp. 247–268, DOI: 10.1016/j.engfailanal.2014.09.006.
[4] N.C. Lind, “Measures of vulnerability and damage tolerance”, Reliability Engineering & System Safety, 1995, vol. 48, no. 1, pp. 1–6.
[5] D.M. Frangopol, J.P. Curly, “Effects of damage and redundancy on structural realibility”, Journal of Structural Engineering, 1987, vol. 113, no. 7, pp. 1533–1549.
[6] S. Woo, D.L. O’Neal, “Reliability design and case study of mechanical system like a hinge kit system in refrigerator subjected to repetitive stresses”, Engineering Failure Analysis, 2019, vol. 99, pp. 319–329, DOI: 10.1016/j.engfailanal.2019.02.015.
[7] I.W. Baker, M. Schubert, M.H. Faber, “On assessment of robustness”, Journal of Structural Safety, 2008, vol. 30, pp. 253–267.
[8] ISO Standard 19902, Petroleum and natural gas industries – Fixed steel offshore structures, 2008.
[9] T. Vrouwenvelder, et al., Eds. Risk assessment and risk communication in civil engineering. CIB Report, 259. Rotterdam: CIB General Secretariat, 2001.
[10] EN 1991-1-7, Eurocode 1 – Actions on structures – Part 1–7: General actions – Accidental actions.
[11] A. del Caño, M. Pilar de la Cruz, D. Gómez, M. Pérez, “Fuzzy method for analysing uncertainty in the sustainable design of concrete structures”, Journal of Civil Engineering and Management, 2016, vol. 22, no. 7, pp. 924–935, DOI: 10.3846/13923730.2014.928361.
[12] S. Boral, I. Howard, S.K. Chaturvedi, K. Mc Kee, V.N.A. Naikan, “An integrated approach for fuzzy failure modes and effects analysis using fuzzy AHP and fuzzy MAIRCA”, Engineering Failure Analysis, 2020, vol. 108, ID Article: 104195, DOI: 10.1016/j.engfailanal.2019.104195.
[13] Sz.Wolinski, “Defining of the structural robustness”, Bulletin of the Polish Academy of Sciences, Technical Sciences, 2013, vol. 61, no. 1, pp. 137–144, DOI: 10.2478/bpasts-2013-0012.
[14] H. Bandamer, S. Gottwald, Fuzzy Sets, Fuzzy Logic, Fuzzy Methods with Applications. Chichester: J.Wiley & Sons, 1995.
[15] EN 1990:2004 Eurocode- Basis of structural design.
[16] G. Harding, J. Carpenter, “Disproportional collapse of Class 3 buildings: the use of risk assessment”, The Structural Engineering, 2009, vol. 87, no. 15-16, pp. 29–34.
[17] Bai Yu, Hou Jian, Huang Yuan, “Progressive collapse analysis and structural robustness of steel-framed modular buildings”, Engineering Failure Analysis, 2019, vol. 104, pp. 643–656, DOI: 10.1016/j.engfailanal. 2019.06.044.
[18] G. Milani, M. Valente, “Comparative pushover and limit analyses on seven masonry churches damaged by the 2012 Emilia-Romagna (Italy) seismic events: Possibilities of non-linear finite elements compared with pre-assigned failure mechanisms”, Engineering Failure Analysis, 2015, vol. 47, Part A, pp. 129–161, DOI: 10.1016/j.engfailanal.2014.09.016.
[19] Sz. Wolinski, T. Pytlowany, “Analysis of the state of prestressed structure using data collection simulation technique”, MATEC Web of Conferences, 2019, vol. 262, DOI: 10.1051/matecconf/201926208006.
[20] Sz. Wolinski, T. Pytlowany, “Risk and robustness assessment for floor slabs prestressed with unbonded tendons”, in Konstrukcje betonowe i stalowe, (in Polish). Bydgoszcz: University of Science & Technology, 2015, pp. 137–144.
[21] Sz. Wolinski, “Robustness and vulnerability of slab structures”, Procedia Engineering, 2017, vol. 193, pp. 88–95, DOI: 10.1016/j.proeng.2017.06.190.
[22] JCSS: Probabilistic Model Code, The Joint Committee on Structural Safety. [Online]. Available: https://www.jcss-lc.org/jcss-probabilistic-model-code/.
[23] E.A.P. Liberati, C.G. Nogueira, E.D. Leonel, “Nonlinear formulation based on FEM, Mazars damage criterion and Fick’s law applied to failure assessment of reinforced concrete structures subjected to chloride ingress and reinforcements corrosion”, Engineering Failure Analysis, 2014, vol. 46, pp. 247–268, DOI: 10.1016/j.engfailanal.2014.09.006.
[24] B. Rodowitz, M. Schubert, M. Faber Havbro, “Robustness of Externally and Internaly Post Tensioned Bridges”, Beton und Stahlbetonbau, 2008, vol. 103, pp. 16–22, DOI: 10.1002/best.200810111.
[25] B. Rodowitz, Robustheit von Balkenbrucker mit externer und interner Vorspannung. Institut fur Massivbau und Baustofftechnologie, Abtailung Massivebau. Karlsruhe: Universitat Karlsruhe, 2007 (in German).
[26] A. Setareh, H. Saffari, J. Mashhadi, “Assessment of dynamic increase factor for progressive collapse analysis of RC structures”, Engineering Failure Analysis, 2018, vol. 84, pp. 300–310, DOI: 10.1016/j.engfailanal.2017.11.011.
[27] I. Skrzypczak, L. Buda–Ozóg, T. Pytlowany, “Fuzzy method of conformity control for compressive strength of concrete on the basis of computational numerical analysis”, Meccanica, 2016, vol. 51, no. 2, pp. 383–389, DOI: 10.1007/s11012-015-0291-0.
[28] Sz. Wolinski, T. Pytlowany, “Parametric Analysis of the Sensitivity of a Prestressed Concrete Beam Using the DOE Simulation Technique”, Archives of Civil Engineering, 2019, vol. 65, no. 4, pp. 97–112, DOI: 10.2478/ace-2019-0049.
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Authors and Affiliations

Szczepan Woliński
1
ORCID: ORCID
Tomasz Pytlowany
2
ORCID: ORCID

  1. Rzeszów University of Technology, The Faculty of Civil and Environmental Engineering and Architecture, Powstanców Warszawy 12, 35-084 Rzeszów, Poland
  2. Carpathian State College in Krosno, Politechnik Institutution, Dmochowskiego 12, 38-400 Krosno, Poland
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Abstract

One of the most critical systems of any satellite is the Electrical Power System (EPS) and without any available energy, the satellite would simply stop to function. Therefore, the presented research within this paper investigates the areas relating to the satellite EPS with the main focus towards the CubeSat platform. In this paper, an appropriate EPS architecture with the suitable control policy for CubeSat missions is proposed. The suggested control strategy combines two methods, the Maximum Power Point Tracking (MPPT) and the Battery Charge Regulation (BCR), in one power converter circuit, in order to extract the maximum power of the Photovoltaic (PV) system and regulate the battery voltage from overcharging. This proposed combined control technique is using a Fuzzy Logic Control (FLC) strategy serving two main purposes, the MPPT and BCR. Without an additional battery charger circuit and without switching technique between the two controllers, there are no switching losses and the efficiency of the charging characteristic can be increased by selecting this proposed combined FLC. By testing a space-based PV model with the proposed EPS architecture, some simulation results are compared to demonstrate the superiority of the proposed control strategy over the conventional strategies such as Perturb and Observe (P&O) and FLC with a Proportional Integral Derivative (PID) controller.

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Authors and Affiliations

Abderrahmane Seddjar
Kamel Djamel Eddine Kerrouche
Lina Wang
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Abstract

The paper proposes a newrobust fuzzy gain adaptation of the sliding mode (SMC) power control strategy for the wind energy conversion system (WECS), based on a doubly fed induction generator (DFIG), to maximize the power extracted from the wind turbine (WT). The sliding mode controller can deal with any wind speed, ingrained nonlinearities in the system, external disturbances and model uncertainties, yet the chattering phenomenon that characterizes classical SMC can be destructive. This problem is suitably lessened by adopting adaptive fuzzy-SMC. For this proposed approach, the adaptive switching gains are adjusted by a supervisory fuzzy logic system, so the chattering impact is avoided. Moreover, the vector control of the DFIG as well as the presented one have been used to achieve the control of reactive and active power of the WECS to make the wind turbine adaptable to diverse constraints. Several numerical simulations are performed to assess the performance of the proposed control scheme. The results show robustness against parameter variations, excellent response characteristics with a reduced chattering phenomenon as compared with classical SMC.
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Authors and Affiliations

Mohamed Horch
1
ORCID: ORCID
Abdelkarim Chemidi
2
ORCID: ORCID
Lotfi Baghli
3
ORCID: ORCID
Sara Kadi
4
ORCID: ORCID

  1. Laboratoire d’Automatique de Tlemcen (LAT), National School of Electrical and Energetic Engineering of Oran, Oran 31000, Algeria
  2. Manufacturing Engineering Laboratory of Tlemcen, Hight School of Applied Sciences, Tlemcen 13000, Algeria
  3. Laboratoire d’Automatique de Tlemcen (LAT) Université de Lorraine GREEN, EA 4366F-54500, Vandoeuvre-lès-Nancy, France
  4. Laboratory of Power Equipment Characterization and Diagnosis, University of Science and Technology Houari Boumediene, Algiers 16000, Algeria
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Abstract

One of the most important aims of the sizing and allocation of distributed generators (DGs) in power systems is to achieve the highest feasible efficiency and performance by using the least number of DGs. Considering the use of two DGs in comparison to a single DG significantly increases the degree of freedom in designing the power system. In this paper, the optimal placement and sizing of two DGs in the standard IEEE 33-bus network have been investigated with three objective functions which are the reduction of network losses, the improvement of voltage profiles, and cost reduction. In this way, by using the backward-forward load distribution, the load distribution is performed on the 33-bus network with the power summation method to obtain the total system losses and the average bus voltage. Then, using the iterative search algorithm and considering problem constraints, placement and sizing are done for two DGs to obtain all the possible answers and next, among these answers three answers are extracted as the best answers through three methods of fuzzy logic, the weighted sum, and the shortest distance from the origin. Also, using the multi-objective non-dominated sorting genetic algorithm II (NSGA-II) and setting the algorithm parameters, thirty-six Pareto fronts are obtained and from each Pareto front, with the help of three methods of fuzzy logic, weighted sum, and the shortest distance from the origin, three answers are extracted as the best answers. Finally, the answer which shows the least difference among the responses of the iterative search algorithm is selected as the best answer. The simulation results verify the performance and efficiency of the proposed method.
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Authors and Affiliations

Hossein Ali Khoshayand
1
ORCID: ORCID
Naruemon Wattanapongsakorn
2
ORCID: ORCID
Mehdi Mahdavian
1
ORCID: ORCID
Ehsan Ganji
1
ORCID: ORCID

  1. Department of Electrical Engineering, Naein Branch, Islamic Azad University, Iran
  2. Department of Computer Engineering, King Mongkut’s University of Technology, Thonburi, 126 Prachautid Road, Bangmod, Bangkok 10140, Thailand
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Abstract

Groundwater contamination due to leakage of gasoline is one of the several causes which affect the groundwater environment by polluting it. In the past few years, In-situ bioremediation has attracted researchers because of its ability to remediate the contaminant at its site with low cost of remediation. This paper proposed the use of a new hybrid algorithm to optimize a multi-objective function which includes the cost of remediation as the first objective and residual contaminant at the end of the remediation period as the second objective. The hybrid algorithm was formed by combining the methods of Differential Evolution, Genetic Algorithms and Simulated Annealing. Support Vector Machines (SVM) was used as a virtual simulator for biodegradation of contaminants in the groundwater flow. The results obtained from the hybrid algorithm were compared with Differential Evolution (DE), Non Dominated Sorting Genetic Algorithm (NSGA II) and Simulated Annealing (SA). It was found that the proposed hybrid algorithm was capable of providing the best solution. Fuzzy logic was used to find the best compromising solution and finally a pumping rate strategy for groundwater remediation was presented for the best compromising solution. The results show that the cost incurred for the best compromising solution is intermediate between the highest and lowest cost incurred for other non-dominated solutions.

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Authors and Affiliations

Deepak Kumar
Sudheer Ch
Shashi Mathur
Jan Adamowski

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