The Switched Reluctance Motor (SRM) is a strong candidate for high-performance industrial drives and electric vehicle (EV) propulsion due to its robust, magnet-free construction and high fault tolerance. However, its main drawback lies in its nonlinear behavior, which produces significant torque ripple and acoustic noise, thereby hindering its widespread adoption. In recent years, Finite Control Set Model Predictive Control (FCS-MPC) has emerged as a promising alternative to mitigate these issues. Nevertheless, existing implementations typically rely on an eight-vector set comprising both single-phase and dual-phase excitations with unequal magnitudes, resulting in a nonuniform distribution in the αβ-plane. Unlike the conventional square-shaped distribution of vectors where excitation alternates between one and two phases, this study proposes a novel vector set that consistently energizes two phases in each selection. This approach achieves a uniform circular distribution in the αβ-plane, enabling the voltage magnitude to remain constant. The proposed eight-vector set leads to smoother current transitions, reduced torque ripple, and improved dynamic behavior. The strategy is validated on the MATLAB/Simulink platform, with detailed comparative results presented against the conventional method. The findings demonstrate a torque ripple reduction of up to 58% and an acceleration time improvement of up to 64%. These results highlight the strong potential of the proposed method for scalable SRM performance enhancement in demanding applications such as EV propulsion systems.

The Switched Reluctance Motor (SRM) is a strong candidate for high-performance industrial drives and electric vehicle (EV) propulsion due to its robust, magnet-free construction, high fault tolerance. The main drawback of the switched reluctance motor is the nonlinear behavior producing high torque ripple and noise these factors significantly hinder their widespread adoption. A novel alternative that is being investigated the last years to mitigate this problem is FCS-MPC (Finite Control Set Model Predictive Control), nevertheless the existing implementation use an eight-vector set as a base including single phase and dual phase excitation that don’t have equal magnitude, representing a nonuniform distribution in the αβ-plane. Therefore, this article, propose a novel eight vector set, that excites two phases in every vector with equal magnitude distributed in the αβ-plane, this new set of vectors result in smother current transitions, and reduce the torque ripple improve the dynamic behavior, this strategy is validated on the MATLAB/Simulink platform present detailed results comparing the proposed and the conventional method. The findings indicate a reduction in torque ripple by up to 58%, an improvement in acceleration time by up to 64%. The method demonstrates strong potential for scalable SRM performance enhancement in demanding applications such as EV drives.

La agricultura de precisión busca aumentar la productividad de las actividades agrícolas a nivel mundial, en este marco de desarrollo la navegación autónoma es un pilar fundamental ya que la mayoría de actividades agrícolas implican desplazamientos extensos de personas o vehículos; la navegación autónoma terrestre sobre parcelas de cultivos tiene ciertas complicaciones como el deslizamiento de los vehículos sobre los terrenos lo que complica implementar sistemas de odometría, otra complicación es la dificultad de implementar marcas de navegación para usar sistemas de localización. Este trabajo presenta un sistema de visión por computador donde se pretende usar a las hileras de cultivo como marca de navegación para un vehículo agrícola,emulando el comportamiento de un robot seguidor de línea.Una cámara de resolución media toma 30 fotogramas por segundo para que posteriormente un algoritmo procese las imágenes eliminando problemas de perspectiva, luz ambiental y obstáculos en el cultivo para identificar eficientemente la hilera de cultivo que se encuentra precisamente debajo del vehículo. Obtenida la marca de navegación y realizando una aproximación de las dimensiones longitudinales de la realidad con las dimensiones longitudinales en pixeles de las imágenes,se puede obtener un estado estimado del vehículo respecto a la marca antes identificada.

The control of nonlinear systems poses significant challenges due to their inherent complexities, limiting the effectiveness of traditional control strategies. This paper presents an improved fuzzy identification and control method for nonlinear industrial systems, using Takagi-Sugeno fuzzy inference to model nonlinear dynamics as an interpolation of multiple linear subsystems. A key improvement of this approach lies in the accurate identification of the nonlinear model, which leads to fewer control system failures. The research contribution is the development of a control strategy that enhances system reliability while simplifying implementation. The method involves minimizing a cost function that optimizes the system’s output error, refining the fuzzy identification process for dynamic adaptation to varying operating conditions. The strategy also enables the design of linear controllers for each subsystem and applies Parallel Distributed Compensation (PDC) to regulate the overall nonlinear system. This approach is validated through experimental testing on an aero-pendulum system. The results show that the PDCbased control scheme not only ensures high performance across a wide operational range but also significantly reduces identification errors compared to traditional methods. Given its improved accuracy, reduced complexity, and adaptability, this approach holds significant potential for practical application in industrial environments, where robust and efficient control of nonlinear systems is crucial for operational success.

'Correction to: Nonlinear Fuzzy Control of Position and Velocity Using Crisp Outputs Implemented in a General-Purpose Microprocessor' published in 'Intelligent Technologies: Design and Applications for Society'

El calentamiento de agua en el sector residencial ecuatoriano se ha convertido en un espacio de investigación y desarrollo, debido al intento de mitigar el gasto corriente de las personas y a la vez contribuir de manera activa a los procesos de eficiencia energética que van tomando fuerza en el país. En el presente documento se muestra un análisis comparativo entre diferentes maneras de controlar la temperatura del agua para un sistema residencial utilizando un calentador eléctrico; se analizó la respuesta de un conversor AC/AC de control de fase directa que permite retrasar el ángulo de disparo de la onda de corriente alterna y la respuesta del control ON/OFF que activa o desactiva el calentador durante un número preestablecido de semiciclos de corriente alterna. Para las pruebas se instaló un prototipo de calentador eléctrico con un serpentín de 14 metros a base de resistencias eléctricas; con las respuestas de temperatura que se generan de cada conversor se procedió a identificar la función de transferencia de cada sistema ya que ambos difieren en su técnica de transmisión de calor y a la vez en su modelo matemático. Posteriormente se procedió a sintonizar un controlador PID para cada sistema, obteniendo buenos resultados de respuesta de temperatura en ambos casos, pero solo uno resultó eficiente en ahorro energético.