Diego Alonso Flores-Hernández

La estimación del estado de salud (SOH) es esencial para la operación de baterías de iones de litio. Aunque las redes LSTM pueden alcanzar una alta precisión, comúnmente utilizan indicadores temporales, por lo que proporcionan una interpretabilidad limitada. Este trabajo propone un sistema de inferencia neuroborroso adaptativo (ANFIS) entrenado con características electrotérmicas de cada ciclo, las cuales son extraídas de las señales de voltaje, corriente y temperatura. Usando el conjunto de datos de degradación de baterías de Oxford, así como una definición común del SOH, se llevó a cabo una comparación entre ANFIS y un modelo LSTM base que incluye el índice de ciclo. Los resultados muestran que ANFIS alcanza una precisión competitiva sin utilizar información explícita de indicadores temporales, además proporciona transparencia a través de las funciones de pertenencia, la activación de reglas y el análisis de sensibilidad, por lo que se presenta como una alternativa práctica y explicable para el monitoreo del SOH de baterías.

Este trabajo muestra un procedimiento a través del cual es posible reducir la complejidad de diseño, implementación y ajuste de controladores no convencionales para sistemas seguidores solares. Lo anterior a través de la programación de una tarjeta STM32F4-NUCLEO en un lenguaje de alto nivel. Esto es posible gracias al uso de un software embebido (toolbox Waijung) que permite disponer de las funciones y bloques pertenecientes a Matlab-Simulink para la generación y descarga automática de código C en microcontroladores de la familia STM32F4. Adicionalmente, la configuración resultante logra disponer de forma fácil y práctica los recursos de procesamiento de una computadora propiciando un esquema de tipo Hardware in the Loop. Por lo que, la computadora puede visualizarse como una interfaz de monitoreo y configuración, así como un servidor para almacenamiento de base de datos. Para validar la propuesta se presenta el procedimiento de desarrollo y pruebas de funcionamiento realizadas con un seguidor solar existente.

In recent years, the use of solar technology as an alternative to conventional methods of electricity generation has increased. However, they have a low conversion efficiency; one way to increase energy production is by using Solar Tracking Systems (STS), which cause energy expenditure. Monitoring systems are required to calculate the energy balance between produced and consumed. In this research, the design and implementation from a concurrent approach of an embedded system for energy monitoring in solar applications is presented, obtaining a low energy consumption, high connectivity, scalable, modular, and open architecture system. Experimental tests were carried out considering five proposed energy-saving strategies. These tests recorded the energy consumption of actuators, electronic hardware, and generated power, resulting in a 16.47% increase in the energy budget and a reduction in the global power consumption of 7.27%. Notably, the developed embedded system exhibited a low energy consumption of 0.326Wh.

The legged robots have a better performance than the wheeled and tracked mobile robots for some applications. The development of quadruped robots has increased in the last years mainly with the mammalian configuration due to the velocity of displacement and for the implementation of new control strategies that improve its stability. However, it is necessary to integrate embedded systems into the quadruped robot design to increase the overall performance. The proposed research presents the development of an integrated system composed of a quadruped robot in mammalian configuration and an embedded system with a concurrent methodology that ensures harmonic integration. The system was tested under real environments, on flat, sandy, and rocky terrains. The experimental results were analyzed with Kinovea software, obtaining a maximum velocity in the flat terrain with 0.43m/s, 0.2m/s in sandy terrain, and 0.345 m/s in rocky. Finally, an embedded system is a factor key to improving the quadruped robot’s performance because it allows for modification of the behavior through the implementation of unconventional control strategies, to make the robot smaller, and it is possible to integrate tools of IoT that are necessary for the new applications.

Este trabajo propone el diseño de un sistema enfocado en mejorar el proceso de gestión de operación y desactivación de un seguidor solar (SS) basado en lógica difusa. Lo anterior debido a que los SS usualmente se desactivan ante condiciones climáticas adversas siguiendo un principio de operación que se rige por comparaciones simples entre umbrales y parámetros asociados a las condiciones climáticas y, en consecuencia, se pierde de vista la energía disponible. Para validar la propuesta se realizó un procedimiento experimental que consta de dos etapas. La primera, se refiere a la prueba y ajuste del clasificador en un ambiente de simulación empleando escenarios que reproducen eventos registrados en bases de datos climáticas de la CDMX, así como su integración en un SS existente, y luego en la segunda etapa, se provee un análisis comparando los periodos de desactivación obtenidos con las condiciones reales. Finalmente se brindan conclusiones y propuestas de trabajo a futuro.

Social interactions are characterized by being very diverse and changing over time. Understanding this diversity and dynamics, as well as their emerging patterns, is of great interest from social, health, and educational perspectives. The development of new devices has been made possible in recent years by advances in applied technology. This paper presents the design and development of a novel device composed of several sensors. Specifically, we propose a proximity sensor integrated by three devices: a Bluetooth sensor, a global positioning system (GPS) unit and an accelerometer. By means of this sensor it is possible to detect the presence of neighboring sensors in various configurations and operating conditions. Profiles based on the Received Signal Strength Indicator (RSSI) exhibit behavior consistent with that reported by empirical relationships. The present sensor is functional in detecting the proximity of other sensors and is thus useful for the identification of interactions between people in relevant contexts such as schools.

The increase in the production efficiency of photovoltaic technology depends on its alignment in relation to the solar position. Solar tracking systems perform the tracking action by implementing control algorithms that help the reduction of tracking errors. However, conventional algorithms can reduce the life of actuators and mechanisms due to control action, significantly reducing operation times and profitability. In this article, an unconventional control scheme is developed to address the mentioned challenges, presenting the design and implementation of an extremum-seeking control to perform maximum power point tracking for a two-axis solar tracker instrumented with a solar module. The proposed controller is governed by the dynamics of a classic proportional-integral scheme and assisted by sensorless feedback. Also, it has an anti-wind-up-type configuration for the integral component and counts with a variable amplitude for the dither signal. The proposal is validated experimentally by comparison between a fixed system and a two-axis system in azimuth-elevation configuration. In addition, two performance indices are defined and analyzed, system energy production and tracking error. The results show that the proposal allows producing up to 27.75% more than a fixed system, considering the tracker energy consumption due to the tracking action and a pointing accuracy with ±1.8° deviation. Finally, an analysis and discussion are provided based on the results, concluding that the proposed algorithm is a viable alternative to increase the performance of tracked photovoltaic systems.