Valderrabano-Gonzalez, Antonio

Main Affiliation
Preferred name
Valderrabano-Gonzalez, Antonio
Official Name
Valderrabano González, Antonio
ORCID
0000-0002-8509-6376 orcid-logo
Researcher ID
O-2648-2013
Scopus Author ID
51864763800

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    Real-Time Integrated Speed Control of a DC Motor with Latency and Packet-Loss Resilient Telemetry
    (MDPI AG, 2026-10-02)
    Elvira-Ceja, Santiago
    ;
    Valderrabano-Gonzalez, Antonio  
    ;
    Castañeda, Carlos E.
    ;
    Avalos-Corrales, Abraham M.
    ;
    Valle-Perez, Jose M.
    Wireless control systems often suffer from performance degradation due to sensor noise, transmission delays, and packet loss over Wi-Fi links. This paper presents an architecture for telemetry with resilient control for real-time DC motor speed regulation. The proposed architecture has a functional division of tasks between a local ESP32-S3 microcontroller and a remote computer. The ESP32-S3 microcontroller receives reference speed set-points through Wi-Fi and applies a Bézier curve profiler to smooth speed transitions, preventing transient voltage and current surges. To avoid the necessity of extra physical sensors, a Euler-discretized sliding-mode observer (SMO) estimates the unmeasured armature current of the motor and the dynamic load torque from encoder-based speed measurements. These states are fed into a discrete Linear Quadratic Regulator (LQR) to compute the control action for a Buck/Boost power converter driving the motor under variable load disturbances. Simultaneously, the ESP32-S3 streams a telemetry vector containing 𝑉𝑎, 𝑖𝑎, 𝜔, and ^ 𝑇 𝐿 over Wi-Fi to the remote computer. This computer executes an Extended Kalman Filter (EKF) that attenuates communication noise and reconstructs missing telemetry during packet-loss events, enabling uninterrupted real-time visualization and persistent data logging. The experimental validation includes a broad operating range, multiple load-torque levels, packet-loss intervals, and comparative tests against a classical PID controller. The results show that the proposed LQR-based architecture maintains accurate speed tracking over different operating regions and provides faster recovery after load-torque perturbations when compared with the PID controller. In addition, the telemetry link was evaluated under non-ideal communication conditions, where the EKF maintained the availability of the estimated variables during packet-loss intervals and reduced high-frequency fluctuations in the received telemetry signals. Furthermore, an experimental comparison between time-varying and constant EKF covariance matrices supports the use of the proposed 𝑄EKF⁡(𝑘),𝑅EKF⁡(𝑘) formulation to improve the estimation behavior under changing operating conditions. Experimental validation on a physical test bench demonstrates that the integrated control framework maintains accurate speed regulation, smooth transient responses, disturbance-rejection capability, and data continuity under variable operating speeds, non-linear load-torque variations, and degraded Wi-Fi telemetry conditions.
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    Adaptive neuronal induction motor control with an 84‐pulse voltage source converter
    (2020)
    Francisco Beltran‐Carbajal
    ;
    Ruben Tapia‐Olvera
    ;
    Valderrabano-Gonzalez, Antonio  
    ;
    Irvin Lopez‐Garcia
      1  9Scopus© Citations 24
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    Energy Recycling Laboratory Experimental Test Bench for Three-Phase FACTS Devices Prototypes
    (2019)
    Jesus E. Valdez-Resendiz
    ;
    Mayo Maldonado, Jonathan
    ;
    Rosas-caro, Julio  
    ;
    Alejo-Reyes, Avelina  
    ;
    Armando Llamas-Terres
    Scopus© Citations 1  2  17
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    Signal differentiation in position tracking control of dc motors
    (2015)
    F Beltran-Carbajal
    ;
    Valderrabano-Gonzalez, Antonio  
    ;
    Rosas-caro, Julio  
    <jats:p>An asymptotic differentiation approach with respect to time is used for on-line estimation of velocity and acceleration signals in controlled dc motors. The attractive feature of this differentiator of signals is that it does not require any system mathematical model, which allows its use in engineering systems that require the signal differentiation for its control, identification, fault detection, among other applications. Moreover, it is shown that the differentiation approach can be applied for output signals showing a chaotic behavior. In addition a differential flatness control scheme with additional integral compensation of the output error is proposed for tracking tasks of position reference trajectories for direct current electric motors using angular position measurements only.</jats:p>
      2  4Scopus© Citations 1
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    Experimental Verification of the LVC Converter under Reduced Ripple Operation
    (IEEE, 2025-11-12)
    Hernandez-ochoa Julio Cesar
    ;
    Rosas-Caro, Julio  
    ;
    Valdez-Resendiz, Jesus Elias
    ;
    Valderrabano-Gonzalez, Antonio  
    ;
    Guillen, Daniel
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    A Dynamic Motion Tracking Control Approach for a Quadrotor Aerial Mechanical System
    (2020)
    Hugo Yañez-Badillo
    ;
    Francisco Beltran-Carbajal
    ;
    Ruben Tapia-Olvera
    ;
    Valderrabano-Gonzalez, Antonio  
    ;
    Antonio Favela-Contreras
    <jats:p>This paper deals with the reference trajectory tracking problem and simultaneous active disturbance suppression on a class of controlled aerial mechanical systems by processing measurable output signals. A novel dynamic control method for desired motion reference trajectory tracking for quadrotor helicopters is introduced. Measurements of position output signals for efficient and robust tracking of motion profiles specified for the unmanned aerial vehicle are only required. Thus, differentiation of signals and real-time estimation of disturbances affecting the multi-input multioutput, underactuated nonlinear dynamic system are unnecessary. The presented active control approach can be directly extended for a class of vibrating mechanical systems. Analytical, experimental, and numerical results are presented to prove the satisfactory performance of the proposed trajectory tracking control approach for considerably perturbed operating scenarios.</jats:p>
      1  18Scopus© Citations 8
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    Failure mode and effects analysis and sensitivity analysis for a neutral point re-injection multi-pulse voltage source converter
    (Elsevier BV, 2025-09)
    Valderrabano-Gonzalez, Antonio  
    ;
    F. Beltran-Carbajal
    ;
    Robles-Campos, Héctor R.  
    ;
    R. Tapia-Olvera
    ;
    Rosas-Caro, Julio  
    Sensitivity 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.
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