Valderrabano-Gonzalez, Antonio
Main Affiliation
Preferred name
Valderrabano-Gonzalez, Antonio
Official Name
Valderrabano González, Antonio
ORCID
0000-0002-8509-6376 
Researcher ID
O-2648-2013
Scopus Author ID
51864763800
67 results
Now showing 1 - 10 of 67
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Item type:Publication, Enhanced AI-Driven Harmonic Optimization in 36-Pulses Converters for SCADA Integration<jats:p>This paper presents an integrated approach for optimizing the performance of a 36-pulses converter system by using artificial intelligence (AI) techniques to be included in a Supervisory Control and Data Acquisition (SCADA) environment. The focus of the proposal is on enhancing harmonic reduction through intelligent adjustment of switching angles and coordinated control of the reinjection transformer included in the power converter topology. A key component of the proposed methodology involves a simulation-based process to determine optimal firing angles (α1, α2, and α3), based on Selective Harmonic Elimination (SHE) theory, that minimize Total Harmonic Distortion (THD). Using MATLAB with Simulink and PLECS models, a parametric sweep of the firing angles, generating a comprehensive dataset of THD outcomes. This dataset, consisting of THD evaluations across fine-grained angle variations, serves as the training foundation for supervised machine learning models—specifically, neural network regressors—that approximate the nonlinear mapping between firing angles and harmonic distortion. These predictive models are then employed as surrogates to estimate THD rapidly and guide the selection of optimal switching angles in real time without requiring iterative numerical solvers. Optimization heuristics and predictive models are then deployed to dynamically adapt system parameters in real time under varying load conditions. The proposed method demonstrates significant improvements in power quality and operational reliability, highlighting the potential of AI-assisted SCADA systems in advanced power electronics applications. Implementation results performed on a 36-pulses voltage source converter prototype are included to illustrate the appropriateness of the proposal.</jats:p> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Rapid Single-Phase Blackout Detection Algorithm Based on Clarke–Park Transformations(MDPI AG, 2026-01-19); ; ;Valdez-Resendiz, Jesus E.; Posada, Johnny - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Experimental Verification of the LVC Converter under Reduced Ripple Operation(IEEE, 2025-11-12) ;Hernandez-ochoa Julio Cesar; ;Valdez-Resendiz, Jesus Elias; Guillen, Daniel - Some of the metrics are blocked by yourconsent settings
Item type:Publication, High-precision speed control of induction motors using a multi-pulse voltage source converter and advanced observer-based strategies(Elsevier BV, 2025-03) ;Carlos E. Castañeda; ;Hossam A. GabbarVijay K. Sood - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Failure mode and effects analysis and sensitivity analysis for a neutral point re-injection multi-pulse voltage source converter(Elsevier BV, 2025-09); ;F. Beltran-Carbajal; ;R. Tapia-OlveraSensitivity Analysis plays a crucial role in the design, control, and optimization of multi-pulse Voltage Source Converters. It helps engineers assess how variations in parameters influence system performance, enabling the development of more efficient and robust converters. This study presents some Failure Modes and Effects Analysis that intends to identify the most affected components when a gate disconnection failure occurs, making them critical points for stress management. Additionally, the most vulnerable components when gates remain connected to high value are distinguished. Verifying the voltage output shape, it can be noticed that RMS voltage measurements are not a reliable indicator for tracking failure, whereas THD offers a more effective solution. Understanding these failure modes is essential for refining the design and control strategies of electronic converters, particularly in applications such as motor control and StatCom. Sensitivity analysis also strengthens control algorithms, ensuring that they can effectively accommodate parameter fluctuations while aiding in fault diagnosis and failure prediction. The early detection of switch malfunctions in power converters is essential for maintaining system reliability, safety, performance, and cost efficiency. Timely identification allows for proactive maintenance, preventing extensive damage and ensuring continuous operation. As the converters become increasingly integral to various applications, implementing reliable fault detection mechanisms is essential for sustaining their optimal performance and long-term functionality. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Real-Time Speed Regulation of Direct Current Electric Motors Controlled by an Electric Motor Drive System Based on Diverse Power Converter Topologies(MDPI AG, 2026-01-29) ;Elvira Ceja Santiago; ;Castañeda, Carlos E.Gabbar, Hossam A. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Adaptive neural strategies for the interactive tracking flight of two aerial vehicles(2018-01-01) ;Yañez-Badillo H. ;Tapia-Olvera R. ;Beltran-Carbajal F.; 46 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Power quality improvement by interleaving unequal switching converters(2016) ;Arias-Angulo Juan Pedro; ;Beltran-Carbajal Francisco; Haro-Sandoval, EduardoScopus© Citations 7 41 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Output feedback control for robust tracking of position trajectories for DC electric motors(2014) ;Francisco Beltran-Carbajal ;Antonio Favela-Contreras; Scopus© Citations 17 2 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An asymptotic and algebraic estimation method of harmonics(2022) ;F. Beltran-Carbajal ;R. Tapia-Olvera; H. Yanez-BadilloScopus© Citations 9 4 1
