Browsing by Autor "Miguel Angel Silva Plata"

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    Design and Validation of an Autonomous IoT Collar for Bovine Monitoring in the Bolivian Altiplano
    (2025) Miguel Angel Silva Plata; Nayara Carminia Lara Ramos; Diego Samuel Guzmán Riveros; Sharly Marian Ballón López; Leyla Bionda Lipa Huari; Gabriel Antonio Rojas Silva
    This work presents the design and validation of an autonomous IoT collar for livestock monitoring in the Bolivian Altiplano. The device integrates motion, temperature, and environmental sensors into a compact platform powered by a solar energy system. A low-power wireless link enables continuous data transmission to a local gateway for remote visualization. The mechanical enclosure was 3D-printed with a bio-inspired internal pattern that improves impact resistance and overall durability. Compression, vibration, and water-resistance tests confirmed the structural reliability of the collar, while field trials demonstrated stable operation under real conditions. The embedded motionanalysis algorithm achieved a mean absolute error of 1.5 steps <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathbf{1. 1 {\%}})$</tex> and a correlation of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$r=0.969\left(R^{2}=0.939\right)$</tex>, effectively distinguishing locomotion from non-advance movements. These results confirm the system's robustness and accuracy, which provides a low-cost solution for continuous livestock monitoring in remote rural areas.
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    Model-Based Design and Testbed for CubeSat Attitude Determination and Control System with Magnetic Actuation
    (Multidisciplinary Digital Publishing Institute, 2024) Franklin Josue Ticona Coaquira; Xinsheng Wang; Karen Vidaurre; Misael Mamani; Miguel Angel Silva Plata; Grace Abigail Luna Verdueta; Sandro Estiven Murillo Quispe; Guillermo Javier Auza Banegas; Franz Pablo Antezana López; Arturo Rojas
    This study introduces a robust model-based framework designed for the verification and validation (V&amp;V) of Attitude Determination and Control Systems (ADCSs) in nanosatellites, focusing on magnetic actuation while still being applicable to larger spacecraft platforms. By employing Model-in-the-Loop (MIL), Software-in-the-Loop (SIL), Processor-in-the-Loop (PIL), and Hardware-in-the-Loop (HIL) methodologies, this framework enables a thorough and systematic approach to testing and validation. The framework facilitates the assessment of long-term maneuvers, addressing challenges such as initial small-attitude errors and restricted 3D movements. Two specific maneuvers are evaluated: detumbling and nadir pointing, utilizing quaternions and a comprehensive suite of sensors, including six sun sensors, a three-axis magnetometer, a three-axis gyroscope, GPS, and three magnetorquers. The methodologies—MIL, SIL, PIL, and HIL—integrate the behaviors of digital sensors, analog signals, and astrodynamic perturbations. Based on an optimized SIL environment, Monte Carlo simulations were performed to optimize control gains for nadir pointing, achieving a mean pointing accuracy of 11.69° (MIL) and 18.22° (PIL), and an angular velocity norm of 0.0022 rad/s for detumbling. The HIL environment demonstrated a mean pointing accuracy of 9.96° and an angular velocity norm of 0.0024 rad/s. This comprehensive framework significantly advances the design and verification processes for nanosatellite ADCSs, enhancing the reliability and performance of nanosatellite missions.