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6 resultados encontrados.

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Adaptive deep reinforcement learning-based control strategy for high-performance permanent magnet synchronous motor drive systems
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Adaptive deep reinforcement learning-based control strategy for high-performance permanent magnet synchronous motor drive systems
S. Dukkipati et al · National Technical University "Kharkiv Polytechnic Institute" · 2026 · ISSN 2074-272X
Introduction. In recent days, electric vehicles, robotics and in many control system applications, permanent magnet synchronous motors (PMSMs) are widely utilized. Problem. Due to non-linear behavior of system, external ...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Comprehensive modeling of grid-connected inverters in weak grid systems
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Comprehensive modeling of grid-connected inverters in weak grid systems
Y. Daili et al · National Technical University "Kharkiv Polytechnic Institute" · 2026 · ISSN 2074-272X
Introduction. The stability of grid-connected inverters is critical for the integration of renewable energy into modern power systems. However, this stability is significantly challenged under weak grid conditions, chara...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Enhanced power quality in grid-connected wind energy systems using PI-controlled with doubly fed induction generator optimized by hybrid differential evolution and grey wolf algorithm
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Enhanced power quality in grid-connected wind energy systems using PI-controlled with doubly fed induction generator optimized by hybrid differential evolution and grey wolf algorithm
R. F. Abdelgoui et al · National Technical University "Kharkiv Polytechnic Institute" · 2026 · ISSN 2074-272X
Introduction. Nowadays, the most widely used wind energy conversion system in wind farms is based on a doubly fed induction generator (DFIG); it has a large speed range and can function in multiple modes. Problem. Harmon...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Application of the Newton–Raphson algorithm for enhanced harmonic reduction in seven-level packed U-cell multilevel inverters
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Application of the Newton–Raphson algorithm for enhanced harmonic reduction in seven-level packed U-cell multilevel inverters
O. A. Y. Amran et al · National Technical University "Kharkiv Polytechnic Institute" · 2026 · ISSN 2074-272X
Introduction. Recently, multilevel inverters (MLIs) have been widely investigated for industrial and renewable energy systems as they are valuable in applications where they can produce clean, high-fidelity electrical si...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Hybrid extended Kalman filter long short-term memory framework for robust state and fault estimation in mobile robots under unknown disturbances
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Hybrid extended Kalman filter long short-term memory framework for robust state and fault estimation in mobile robots under unknown disturbances
K. Khemiri et al · National Technical University "Kharkiv Polytechnic Institute" · 2026 · ISSN 2074-272X
Introduction. Reliable and accurate state estimation plays a central role in mobile robotics, ensuring effective localization, navigation, and control in uncertain and dynamic environments. Traditional estimation methods...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Three-phase pulse width modulation boost rectifier enhancement direct power control based on super-twisting algorithm
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Three-phase pulse width modulation boost rectifier enhancement direct power control based on super-twisting algorithm
A. Ahmane et al · National Technical University "Kharkiv Polytechnic Institute" · 2026 · ISSN 2074-272X
Introduction. Three-phase pulse width modulation (PWM) rectifiers are widely used in modern power conversion systems due to their high efficiency, controllability, and ability to provide high-quality energy conversion. T...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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