Browsing by Autor "Mario Oscar Ordaz Oliver"

Now showing 1 - 5 of 5

Aerial Photogrammetry for the Conservation of Cultural Heritage in Hidalgo
(2025) William Ramirez; Mario Oscar Ordaz Oliver; Evelin Gutiérrez; Patricio Ordaz; Javier Hernández-Pérez
This research aims to apply architectural photogrammetry for the documentation and conservation of the Monumental Clock of Pachuca de Soto, in the State of Hidalgo. To this end, an unmanned aerial vehicle (UAV) of the quadcopter type was constructed, enabling the capture of high-resolution photographic images, which were processed to generate a detailed three-dimensional model of the structure. The results demonstrate that this technique provides an accurate representation of the monument, facilitating both its conservation and the planning of future interventions. This study highlights the importance of model quality, which is influenced by climatic variables, as image capture may be limited on cloudy or rainy days. The research emphasizes the innovative application of UAV-based photogrammetry in the field of architectural heritage preservation, offering an efficient and non-invasive tool for the documentation of historical monuments. The findings confirm that this methodology holds significant potential for implementation in the digital conservation of cultural heritage.
Estabilización de un balancín eólico de bajo costo mediante un contro-lador LQR con compensación gravitatoria: Resultados experimentales.
(2024) José Hernandez; O. Ortega; Mario Oscar Ordaz Oliver
En este trabajo de investigación se propone la construcción de una plataforma experimental para la investigación en el área de control, que consiste en un balancín eólico de bajo costo, que es manipulado mediante una tarjeta de desarrollo programable Arduino UNO. Se dice que su construcción es de bajo costo pues implica el uso de materiales y componentes reutilizados o son de fácil acceso. El problema central que aborda este proyecto se relaciona con el consumo elevado de energía en procesos industriales y que corresponde al uso de robots manipuladores, y en cómo reducir dicho consumo de energía por medio de la implementación de una ley de control no convencional. Por tanto, este trabajo de investigación propone la implementación de un filtro de Kalman, con el objetivo de atenuar el ruido inherente a mediciones, mismas que se asocian con la calidad de los sensores o su naturaleza no lineal. Así mismo propone un regulador cuadrático lineal con compensación gravitatoria (LQR+G) para estabilizar al sistema alrededor de un punto de operación arbitrario controlable. Dicha estrategia realiza una realimentación linealizante, que contrarresta los efectos gravitatorios, lo cual permite la aplicación de un realimentación de estado, que es sintetizada mediante el cálculo variacional y da lugar al regulador cuadrático lineal, mismo que está sujeto a un índice de desempeño cuadrático que es minimizado para penalizar el consumo de energía y la convergencia del estado. La aplicación conjunta de estos términos compensa el efecto no lineal asociado a la fuerza de gravedad y regula la posición minimizando el consumo de energía. Los beneficios que promete la síntesis de este controlador se validan mediante un estudio comparativo, en donde se evalúan y comparan las señales de error del control LQR+G, contra las de un controlador PID que es sintonizado mediante una asignación de polos.
Fuzzy-PID Control with State Estimation for the Regulation of an Aero-Pendulum System
(2025) Jose-Raúl Alvarado-Hernandez; Jorge-Enrique Pérez-Perea; A. Cruz; Oscar Domínguez-Ortega; Esteban-Misael Ramos-Gálvez; Patricio Ordaz; Mario Oscar Ordaz Oliver
In this paper the PID-Fuzzy controller, which combine the robustness and versatility of controllers based on fuzzy logic, were implemented to achieve superior performance in regulating an aero-pendulum system. These controllers were specifically designed to enhance the regulation of the system by improving its stability, accuracy, and response to external disturbances. Through the integration of fuzzy logic, the control system was better equipped to handle the uncertain associated with the wind-driven operation of the system. In addition, a soft sensor was developed to estimate variables that could not be directly measured, utilizing both system measurements and process knowledge. This sensor improved the precision of the control system, enabling more accurate and reliable performance. The combination of these advanced control techniques resulted in a robust and effective control solution for the aero-pendulum system, making it well-suited for use in automatic control and mechatronics laboratory settings. The PID controller was developed using the Ziegler-Nichols tuning method, and each was subsequently enhanced through the incorporation of fuzzy logic. In addition, a comparative study was conducted to evaluate the performance of the controllers, highlighting the improvements achieved through the application of fuzzy logic. Finally, the performance of the designed controller were tested in real time aero-pendulum platform.
Parameter estimation of a second order system via nonlinear identification algorithm
(IOP Publishing, 2020) Patricio Ordaz; Liliam Rodríguez‐Guerrero; Omar Santos; Carlos Cuvas; Hugo Romero; Mario Oscar Ordaz Oliver; Pablo Antonio López Pérez
Abstract In this paper, a parameter estimation for a class of second order nonlinear system is presented. The considered system, can be represented in such way that it is linear respect its parameters. Since the system output is given, only, for the second integrator a state estimation of unmeasured state variables is reconstructed via nonlinear observer based on the terminal sliding mode observer. Therefore, the main contribution of this paper deals with a full order nonlinear observer algorithm design to enhance parameter identification of a nonlinear second order system. Finally, to illustrate the theoretical performance of the proposed identification algorithm, an experimental result of a mechanical system is presented.
The Implementation of Optimal Control for Thermal Regulation in Finite Volume Spaces Described by Second-Order Dynamics
(2023) Jared Vladimir Calderon-Lopez; Evelin Gutiérrez; Patricio Ordaz; Mario Oscar Ordaz Oliver; Justo Fabián Montiel Hernández
Temperature control systems have various applications, from cooling to casting, and are crucial for ensuring quality in production. Although essential, their usage entails a significant energy consumption. This project focuses on implementing optimal control synthesized from the calculus of variations applied to the Hamilton-Jacobi-Bellman equation to regulate temperature within a finite volume space. The objective is to enhance thermal efficiency without compromising product quality. The approach not only aims to optimize energy consumption but also to ensure uniformity and quality in products and processes affected by temperature. This can be achieved by maintaining thermal stability at desired values and responsible resource management. In general, the article proposes improving efficiency and quality in temperature regulation, contributing to sustainable and effective industrial practices.