La tesis estudia la teoría del modelo matemático de los cuadricopteros, las estrategias del control utilizadas en los sistemas comerciales e implementar algoritmos de control PID para el control de ángulos. Dicho estudio formará las bases de futuros proyectos enfocados en la recopilación de datos en cultivos como humedad, temperatura, zonas infectadas por el estrés hidríco; permitiendo mejorar la gestión del agro y aumento de la producción agrícola de la región Piura. El trabajo realizado ha permitido generar un modelo no lineal de buenas prestaciones, el diseño de un controlador de vuelo robusto -con experimentos en tiempo real- e implementar un control de orientación.

El presente trabajo tiene como objetivo, diseñar un filtro CFAR (Constant False Alarm Rate) paramétrico y analizar sus buenas prestaciones con datos reales. Para ello, el estudio parte del cálculo de la relación señal a ruido. Utilizando los principios de la teoría CFAR se realiza una estimación de la potencia media de la interferencia de cada celda de imagen de radar. Determinada la potencia de la interferencia se procede al cálculo de la relación señal a ruido de cada celda de imagen de radar. Con los valores de relación señal a ruido se proponen cambios en los umbrales de digitalización del radar. El cambio de los umbrales de digitalización produce una nueva señal de radar con mayor información de la interferencia. El método utilizado, se basa en el promedio de las celdas vecinas.

El presente proyecto de tesis está dirigido a los vehículos aéreos no tripulados, los cuales han tenido mucha popularidad en los últimos años gracias a la miniaturización de los componentes electrónicos y mecánicos. El presente trabajo consiste la realización del modelo matemático, la estimación de parámetros físicos, el diseño de controles PID para nuestro cuadricóptero, la validación del modelo matemático y la implementación experimental del algoritmo de control en un sistema embebido para estabilizar la orientación de la aeronave. La tesis contempla realizar el modelo matemático de la aerodinámica del cuadricóptero agregando la dinámica de los propulsores. Se linealiza el modelo en base a documentos publicados en revistas importantes y se estiman las constantes y coeficientes utilizados en el modelo matemático por medio de pruebas en laboratorio y con ayuda de ...

Nowadays, a correct detection of people is very important for different purposes. Most applications use images as sources of information. However, an image may contain more information than is necessary for the detection task. For this reason, raw video images can end up being used for malicious purposes or privacy concerns. We present baseline results for a new human detection task. We evaluate long short-term memory (LSTM)-based deep learning models for detecting people using electrical signals from electrostatic discharge (ESD) floors as a source of information. Statistical features were provided to the models every second and four classification problems were studied. The first model discriminates between motion and non-motion. A second model classifies the action of the person between: no person, walking or standing. A third model classifies between walking and standing. And a last ...

The increasing popularity of fish keeping in aquariums and the need for electronic equipment to maintain an optimal environment. This article focuses on monitoring water purity to ensure fish health and longevity, addressing the issue of water pollution caused by chemicals and waste produced by fish. Solutions such as mechanical and biological filters are explored, highlighting the use of the mechanical filter composed of zeolite, ceramic rings, and activated carbon, which work to remove solid particles, toxic compounds, and pollutants from the aquarium water. The article presents the implementation of a mechanical filter controlled by a PIC18F4550 microcontroller using a pH sensor. The results indicate the stability of the pH of the water in the established range of 6.5 to 7.5, with a maximum error of 3% at the upper limit of the range and no error below the established lower limit. It ...

The start/stop (S/S) system implemented in motorcycles aims primarily at fuel savings. This study was conducted to assess the effectiveness of this system in conditions of heavy traffic and traffic lights in Lima, using a virtual channel identifier (VCI) and a technical schedule. The detailed analysis covered critical aspects of the S/S system, the description of the route taken, and its segmentation to understand the number of stops and mileage. Speed limits, schedules, and measurement equipment were established, including the MICODUS-ORBD2 device and the VCI-Hero. The study included tests conducted with and without the MICODUSORBD2 device, recording times, distances, and fuel consumption. Data were collected with the S/S activated and deactivated, concluding the system achieves a 10.1% fuel saving. This finding provides valuable insights into understanding the system's effectiveness in...

The problem addressed in this article focuses on the management of plastic waste, which has experienced a significant increase in recent years, posing challenges in its management and recycling. In addition, the concentration of microplastics in water and their impact on health and the food chain is highlighted. The proposed solution consists of developing a mechatronic system for sorting plastic and metal bottles using capacitive and inductive sensors, respectively. The system demonstrated efficiency in tests, achieving 100% sorting for plastic and metal bottles. The need for bottles to be properly positioned for optimal performance was identified. This work highlights the importance of automation in mechatronic systems and the effectiveness of capacitive and inductive sensors in sorting materials.

The detection of marine vessels for revenue control has many tracking deficiencies, which has resulted in losses of logistical resources, time, and money. However, digital cameras are not fully exploited since they capture images to recognize the vessels and give immediate notice to the control center. The analyzed images go through an incredibly detailed process, which, thanks to neural training, allows us to recognize vessels without false positives. To do this, we must understand the behavior of object detection; we must know critical issues such as neural training, image digitization, types of filters, and machine learning, among others. We present results by comparing two development environments with their corresponding algorithms, making the recognition of ships immediately under neural training. In conclusion, it is analyzed based on 100 images to measure the boat detection capab...

21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023