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Zinchenko, Anton
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Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering

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Journal : Journal of Robotics and Control (JRC)

 1 
Enhancing Long-Term Air Temperature Forecasting with Deep Learning Architectures Krivoguz, Denis; Ioshpa, Alexander; Chernyi, Sergei; Zhilenkov, Anton; Kustov, Aleksandr; Zinchenko, Anton; Podelenyuk, Pavel; Tsareva, Polina
Journal of Robotics and Control (JRC) Vol 5, No 3 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i3.21716

Abstract

Modern challenges in climate prediction necessitate the adoption of advanced deep learning architectures for enhanced precision in temperature forecasting. This study undertakes a comparative evaluation of various neural network designs, particularly focusing on Deep Recurrent Neural Networks (DRNN) and their extension with Gated Recurrent Units (DRNN-GRU), chosen for their proven efficacy in sequential data analysis and long-term dependency capture. Leveraging a comprehensive meteorological dataset, collected from 1961 to 2023, which includes atmospheric temperature, pressure, and precipitation levels, the research unfolds a nuanced understanding of the climate variability. The evaluation framework rigorously applies Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE) metrics to quantify model performance. The DRNN and DRNN-GRU architectures are distinguished for their superior predictive accuracy, suggesting their high potential for real-world forecasting applications. These findings are not merely academic; they imply substantial practical implications, particularly for geographic information systems where they can enhance climate monitoring and resource management. The paper culminates with recommendations for dataset expansion and diversified analytical techniques, which are critical for refining the predictive prowess of these models. This research thereby sets a benchmark for future explorations in the field and directs towards innovative avenues to augment the scientific understanding of climate dynamics.
Overvoltage and Oscillation Analysis for a Full-Bridge Isolated DC-DC Converter Avdeev, Boris A.; Vyngra, Aleksei V.; Zhilenkov, Anton A.; Chernyi, Sergei G.; Degtyarev, Andrey; Kustov, Aleksandr; Zinchenko, Anton
Journal of Robotics and Control (JRC) Vol 5, No 6 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i6.23120

Abstract

The paper deals with determining and eliminating overvoltage’s and ripples from the output of a high-frequency inverter bridge in a full-bridge DC converter. These oscillations can cause overvoltage on the elements of the power converter, which in turn can lead to false triggering of semiconductor keys or their failure. Schematic diagrams of the bridge are given; the principle of its operation is described. A simplified equivalent circuit replaces the classic bridge. A qualitative analysis of transient processes in the resulting scheme is made. The voltage at the output of the bridge is found using the operator method. The findings have been compared with the simulation model executed in MATLAB/Simulink. The presented method is less labor-intensive than simulation modeling and allows for faster and easier verification of the permissible overvoltage level and oscillation frequency, which is especially important in devices containing a large number of nonlinear elements. It is shown how the parameters of the bridge affect the performance of the transient, in particular the overshoot and oscillation frequency. The attained dependencies are shown in graphical form. The ways of improving the quality of the transition process are given. The findings have been verified on an experimental setup. The obtained theoretical results are consistent with the results of the experiment with the data of other researchers.
Overvoltage and Oscillation Analysis for a Full-Bridge Isolated DC-DC Converter Avdeev, Boris A.; Vyngra, Aleksei V.; Zhilenkov, Anton A.; Chernyi, Sergei G.; Degtyarev, Andrey; Kustov, Aleksandr; Zinchenko, Anton
Journal of Robotics and Control (JRC) Vol. 5 No. 6 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i6.23120

Abstract

The paper deals with determining and eliminating overvoltage’s and ripples from the output of a high-frequency inverter bridge in a full-bridge DC converter. These oscillations can cause overvoltage on the elements of the power converter, which in turn can lead to false triggering of semiconductor keys or their failure. Schematic diagrams of the bridge are given; the principle of its operation is described. A simplified equivalent circuit replaces the classic bridge. A qualitative analysis of transient processes in the resulting scheme is made. The voltage at the output of the bridge is found using the operator method. The findings have been compared with the simulation model executed in MATLAB/Simulink. The presented method is less labor-intensive than simulation modeling and allows for faster and easier verification of the permissible overvoltage level and oscillation frequency, which is especially important in devices containing a large number of nonlinear elements. It is shown how the parameters of the bridge affect the performance of the transient, in particular the overshoot and oscillation frequency. The attained dependencies are shown in graphical form. The ways of improving the quality of the transition process are given. The findings have been verified on an experimental setup. The obtained theoretical results are consistent with the results of the experiment with the data of other researchers.
Co-Authors Avdeev, Boris A. Chernyi, Sergei Chernyi, Sergei G. Degtyarev, Andrey Ioshpa, Alexander Krivoguz, Denis Kustov, Aleksandr Podelenyuk, Pavel Tsareva, Polina Vyngra, Aleksei V. Zhilenkov, Anton Zhilenkov, Anton A.