Výsledky vyhľadávania - "simulación en MATLAB"

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Harnessing Wave Energy for Seawater Desalination: A Sustainable Solution to Water Shortages in the United States ; Aprovechamiento de la Energía Undimotriz para la Desalinización de Agua de Mar: Una Solución Sostenible para la Escasez Hídrica en Estados Unidos

Autori: Jativa Soto, Ricardo Alexander Povea Cedeño, Fabian

Zdroj: Revista Digital Científica Causalidad (caui3); Vol. 1 Núm. 2 (2025): Ciencia al Servicio de la Sociedad; 1-14 ; Scientific Digital Journal Causality Causality (caui3); Vol. 1 No. 2 (2025): Science at the Service of Society; 1-14 ; 3073-1518 ; 10.70929/

Predmety: Energía undimotriz, desalinización, energía renovable, escasez de agua, sostenibilidad, simulación en MATLAB, Wave energy, desalination, renewable energy, water scarcity, sustainability, MATLAB simulation

Popis súboru: application/pdf; text/html; text/xml

Relation: https://caui3.com/index.php/caui3/article/view/11/46; https://caui3.com/index.php/caui3/article/view/11/47; https://caui3.com/index.php/caui3/article/view/11/57; https://caui3.com/index.php/caui3/article/view/11

Dostupnosť: https://caui3.com/index.php/caui3/article/view/11
https://doi.org/10.70929/caui3.v1i2.0011

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Modelado y control de un robot continuo paralelo de tres filamentos usando ecuaciones de Cosserat y redes neuronales.

Autori: Jiménez Ramírez, Santiago Camargo Leyva, Jonathan

Prispievatelia: Jiménez Ramírez, Santiago Camargo Leyva, Jonathan

Predmety: Robot continuo paralelo (tres filamentos), Teoría de Cosserat, Varillas/filamentos flexibles, Cinemática y dinámica de robots continuos, Control con redes neuronales (MLP), Cinemática inversa (IK), Simulación en MATLAB (ode45), Optimización no lineal (lsqnonlin), Sensado con cámaras y calibración de color (HSV), Comunicación CAN (MCP2515) y Arduino, Ingeniería

Popis súboru: 41 páginas; application/pdf

Relation: S. Usme Martínez, Sistema de control para robot continuo paralelo para seguimiento de objetos a altas velocidades, spa, 2024-12; J. Zhang, Q. Fang, P. Xiang et al., “A Survey on Design, Actuation, Modeling, and Control of Continuum Robot,” eng, Cyborg and Bionic Systems, vol. 2022, pág. 9 754 697, 2022, PMCID: PMC11014731. DOI:10.34133/2022/9754697. dirección: https://doi.org/10.34133/2022/9754697; O. Sokolov, A. Hošovský y M. Trojanová, “Design, Modelling, and Control of Continuum Arms with Pneumatic Artificial Muscles: A Review,” Machines, vol. 11, n.o 10, 2023, ISSN: 2075-1702. dirección: https://www.mdpi.com/2075-1702/11/10/936; Modern Physics Org, Cosserat Continuum, eng, https://modern-physics.org/cosserat-continuum/, Consulta realizada en junio de 2025, 2025; H. Bai, B. G. Lee, G. Yang et al., “Unlocking the Potential of Cable-Driven Continuum Robots: A Comprehensive Review and Future Directions,” Actuators, vol. 13, n.o 2, 2024, ISSN: 2076-0825. dirección: https://www.mdpi.com/2076-0825/13/2/52; H. B. Gilbert, “On the Mathematical Modeling of Slender Biomedical Continuum Robots,” Frontiers in Robotics and AI, vol. Volume 8 - 2021, 2021, ISSN: 2296-9144. DOI:10.3389/frobt.2021.732643. dirección: https://www.frontiersin.org/journals/robotics-and-ai/articles/10.3389/frobt.2021.732643; X. Wang, Y. Li y K.-W. Kwok, “A Survey for Machine Learning-Based Control of Continuum Robots,” Frontiers in Robotics and AI, vol. Volume 8 - 2021, 2021, ISSN: 2296-9144. DOI:10.3389/frobt.2021. 730330. dirección: https://www.frontiersin.org/journals/robotics- and- ai/articles/10.3389/frobt.2021. 730330; J. Liu, T. Zeng, A. Mohammad, X. Dong y D. Axinte, Design and validation of a fuzzy logic controller for multi-section continuum robots, 2024. arXiv: 2409.20242 [eess.SY]. dirección: https://arxiv.org/ abs/2409.20242; P. C. Y. Chen, J. K. Mills y K. C. Smith, “Performance improvement of robot continuous-path operation through iterative learning using neural networks,” Machine Learning, vol. 23, n.o 2, págs. 191-220, 1996. DOI:10.1007/BF00117444. dirección: https://doi.org/10.1007/BF00117444; D. Jakes, Z. Ge y L. Wu, “Model-less Active Compliance for Continuum Robots using Recurrent Neural Networks,” en 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, nov. de 2019, págs. 2167-2173. DOI:10.1109/iros40897.2019.8968141. dirección: http://dx.doi.org/10. 1109/IROS40897.2019.8968141; https://hdl.handle.net/1992/77308; instname:Universidad de los Andes; reponame:Repositorio Institucional Séneca; repourl:https://repositorio.uniandes.edu.co/

Dostupnosť: https://hdl.handle.net/1992/77308

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Calculator design in matlab to evaluate static electrical machines in virtual laboratory ; Diseño de calculadora en MatLab para evaluar máquinas eléctricas estáticas en Laboratorio Virtual

Autori: Pérez Justo, José Arriola García, Renato Laines Toledo, Diego a ďalší

Zdroj: Engineering Profiles; Vol. 17 No. 17 (2021): Perfiles de Ingeniería ; Perfiles de Ingeniería; Vol. 17 Núm. 17 (2021): Perfiles de Ingeniería ; 2519-5719 ; 1996-6660 ; 10.31381/perfiles_ingenieria.v17i17

Predmety: electrical machine, single-phase transformers, autotransformers, simulation in MATLAB, máquina eléctrica, transformadores monofásicos, autotransformadores, simulación en MATLAB

Popis súboru: application/pdf

Relation: https://revistas.urp.edu.pe/index.php/Perfiles_Ingenieria/article/view/4576/5603; https://revistas.urp.edu.pe/index.php/Perfiles_Ingenieria/article/view/4576

Dostupnosť: https://revistas.urp.edu.pe/index.php/Perfiles_Ingenieria/article/view/4576
https://doi.org/10.31381/perfiles_ingenieria.v17i17.4576

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Análisis del comportamiento de arreglos fotovoltaicos con degradación operando bajo condiciones de sombreado parcial ; Behavior analysis of photovoltaic arrays with degradation operating under partial shading condition

Autori: Trejos Grisales, Adriana Osorio Giraldo, Alejandro Gonzalez Montoya, Daniel a ďalší

Zdroj: https://revistas.eia.edu.co/index.php/reveia/article/view/1376.

Predmety: Generación de energía solar, sistemas fotovoltaicos, indicadores degradación, modelado, simulación en Matlab, sombreado parcial, Solar power generation, photovoltaic systems, degradation indicators, modeling, Matlab simulation, partial shading

Popis súboru: application/pdf

Relation: A. L. y otros, 2017. Degradation analysis of photovoltaic modules under tropical climatic conditions and its impacts on LCOE. Renewable Energy, 102(2017), pp. 199-204.; Accarino, J., Petrone, G., Ramos-Paja, C. A. & Spagnuolo, G., 2013. Symbolic Algebra for the Calculation of the Series and Parallel Resistances in PV module model. Alghero, IEEE, pp. 62-66.; Bastidas-Rodriguez, J. D. et al., 2017. Quantification of photovoltaic module degradation using model based indicators. Mathematics and Computers in Simulation, pp. 101-113.; Bastidas-Rodriguez, J. D. et al., 2018. General modeling procedure for photovoltaic arrays. Electric Power System Research, Volumen 155, pp. 67-79.; Bingöl, O. & Özkaya, B., 2018. Analysis and comparison of different PV array configurations under partial shading conditions. Solar Energy, pp. 336-343.; Chen, Y. H., Liang, R., Tian, Y. & Wang, F., 2016. A novel fault diagnosis method of PV based-on power loss and I-V characteristics. s.l., s.n., pp. 1-15.; Chine, W., Mellit, A., Massi Pavan, A. & Kalogirou, S., 2014. Fault detection method for grid-connected photovoltaic plants. Renewable Energy, pp. 99-110.; De Soto, W., Klein, S. & Beckman, W., 2006. Improvement and validation of a model for photovoltaic array performance. Solar Energy, Volumen 80, pp. 78-88.; Fadhel, S. y otros, 2019. PV shading fault detection and classification based on I-V curve using principal component analysis: Application to isolated PV system. Solar Energy, pp. 1-10.; Intersolar Europe, Global Solar Council (GSC), 2018. Global Market Outlook For Solar Power / 2018 - 2022, s.l.: s.n.; Li, Y. y otros, 2019. A fault diagnosis method for photovoltaic arrays based on fault parameters identification. Renewable Energy, pp. 52-63.; Pei, T. & Hao, X., 2019. A Fault Detection Method for Photovoltaic Systems Based on Voltage and Current Observation and Evaluation. Energies, pp. 1-16.; PV Education, 2013. PV Education. https://www.pveducation.org/pvcdrom/solar-cell-operation/fill-factor; Santiago, S., Chouder, A. & Karatepe, E., 2013. Automatic fault detection in grid connected PV systems. Solar Energy, pp. 119-127.; Silvestre, S. & Chouder, A., 2010. Automatic supervision and fault detection of PV systems based on power losses analysis. Energy Conversion and Management, pp. 1929-1937.; Spertino, F. y otros, 2014. An Experimental Procedure to Check the Performance Degradation On- Site in Grid-Connected Photovoltaic Systems. Denver, IEEE.; Tudor Cotfas, D., Cotfas, P. A. & Machidon, O., 2018. Study of Temperature Coefficients for Parameters of Photovoltaic Cells. Hindawi, pp. 1-12.; Vijayalekshmy, S., Bindu, G. R. & Rama Iyer, S., 2016. A novel Zig-Zag scheme for power enhancement of partially shaded solar arrays. Solar Energy, pp. 92-102.; https://revistas.eia.edu.co/index.php/reveia/article/download/1376/1357; Núm. 33 , Año 2020; 10; 33; 33020 pp. 1; 17; Revista EIA; https://repository.eia.edu.co/handle/11190/5106; https://doi.org/10.24050/reia.v17i33.1376

Dostupnosť: https://repository.eia.edu.co/handle/11190/5106
https://doi.org/10.24050/reia.v17i33.1376

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