Persona: Sánchez Moreno, José
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Sánchez Moreno
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Publicación Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cells(Elsevier, 2020-06) González, Santiago G.; Dormido Canto, Sebastián; Sánchez Moreno, JoséThe advances in Information Technologies (ITs) are providing Industrial Control Systems (ICS) with a great capacity for interconnection and adaptability. However, the use of communication networks makes ICS highly vulnerable. Consequently, it is essential to develop methodologies for the identification and subsequent classification of the ICS that intervene in critical infrastructure assets with any level of complexity, scalability and heterogeneity. The System and Infrastructure of Knowledge for Real Experimentation by means of Cells of Industrial Automation (SIKRECIA), described in this work, provides new capabilities for research, development, simulation and testing of the functioning of these systems, and the ability to foresee the behavior of a specific system in industrial production. The scenarios recreated through SIKRECIA have the ability to anticipate new threats that affect the ICS of critical infrastructures. Using SIKRECIA, a specific vulnerability of a PLC has been verified through the engineering programmed for the management of a traffic light control system. The results obtained demonstrate the high dependence between IT and OT (Operation Technologies) systems and therefore the importance of being able to recreate those environments before entering into operation. As SIKRECIA is an open system, it can use components from different industrial manufacturers to cover the existing architectures in the process industry.Publicación Full Real-Time Positioning and Attitude System Based on GNSS-RTK Technology(MDPI, 2020-11-20) Olivart i Llop, J. M.; Moreno Salinas, David; Sánchez Moreno, JoséAn accurate positioning and attitude computation of vehicles, robots, or even persons is of the utmost importance and critical for the success of many operations in multiple commercial, industrial, and research areas. However, most of these positioning and attitude systems rely on inertial measurement units that must be periodically recalibrated and have a high cost. In the present work, the design of a real-time positioning and attitude system using three positioning sensors based on the GNSS-RTK technology is presented. This kind of system does not need recalibration, and it allows one to define the attitude of a solid by only computing the position of the system in the global reference system and the three angles that the relative positions of the GNSS antennas define with respect to the principal axes of the solid. The position and attitude can be computed in real time for both static and dynamic scenarios. The only limitation of the system is that the antennas need to be in open air to work at full performance and accuracy. All the design phases are covered in the prototype construction: requirement definition, hardware selection, software design, assembly, and validation. The feasibility and performance of the system were tested in both static and dynamic real scenarios.Publicación IMC-based tuning of PIDA controllers: a comparison with PID control(ELSEVIER, 2024) Visioli, Antonio; Sánchez Moreno, José; https://orcid.org/0000-0002-9246-5715In this paper we evaluate the performance achieved by a tuning methodology based on Internal Model Control for a Proportional-Integral-Derivative-Acceleration (PIDA) controller. In particular, we compare the results obtained for the set-point and load disturbance step responses with those achieved with a Proportional-Integral-Derivative (PID) controller tuned by applying the well-known SIMC and AMIGO tuning rules. Different high-order processes are considered: self-regulating, distributed lag and non self-regulating. It is shown that, in general, the use of the double derivative (acceleration) action allows the integrated absolute error to be decreased without a decrement of the robustness and with a moderate increment of the control effort.Publicación Improving the relay feedback identification by using a gain-changing non-linearity(ELSEVIER, 2024) Romero Pérez, Julio Ariel; Miguel-Escrig, Oscar; Sánchez Moreno, José; Dormido Bencomo, Sebastián; https://orcid.org/0000-0003-3397-2239; https://orcid.org/0000-0002-2472-2038; https://orcid.org/0000-0002-2405-8771This paper proposes the use of the gain-changing non-linearity to improve the estimation of the ultimate point, which is used in many auto-tuning algorithm of PID controllers. The experiments for identification are similar to the relay feedback, therefore some well known advantages of this kind of experiments are maintained while the estimation error is significantly reduced. The identification method is evaluated with a batch of system dynamics, providing suitable results in all cases, which proves the validity of the approach.Publicación A cost-effective design for a mid-range microcontroller-based lock-in amplifier(Elsevier, 2025-03) Horcas, Ignacio; Moreno Salinas, David; Sánchez Moreno, JoséLock-in amplifiers are instruments widely used in physics and engineering laboratories, whose invention goes back to the 1940s. Due to the late electronic developments, the former analog implementations have been replaced with digital versions, mainly based on FPGAs (field-programmable gate arrays). The present work, exploiting the last advances in the microcontrollers field, consists in the development of a functional prototype of a low-cost lock-in amplifier based on a microcontroller with similar specifications to mid-range commercial amplifiers. The performance of the prototype has been tested and compared with commercial devices, showing a similar performance in common use cases at a much reduced cost.Publicación Error dependent sampling to reduce transient events in event-based control(Institute of Electrical and Electronics Engineers, 2025-03-25) Miguel Escrig, Oscar; Romero Pérez, Julio Ariel; Sánchez Moreno, José; Dormido Bencomo, SebastiánOne of the objectives of event-based control is the reduction of generated events to perform an appropriate process control. Among the event generation techniques used to this end, those quantifying the error signal can be found more frequently for its simplicity of implementation. However, they entail a drawback in the form of trade-off between event generation and performance. Aiming to reduce the number of events, specifically in the transient response, without degrading the performance, an error dependent sampling scheme is studied in this work.Publicación Protección de objetivos móviles mediante un enjambre de drones(Servicio de Publicaciones de la Universidade da Coruña (A Coruña) y el Comité Español de Automática (Barcelona), 2025-09-01) Zaragoza, Salvador; Guinaldo Losada, María; Sánchez Moreno, JoséSe propone una solución C-UAS (Counter-Unmanned Air Systems) alternativa y complementaria a las existentes: el uso de un enjambre de drones defensores. Estos drones adoptan una formación de escudo semiesférico para negar el acceso a UAS hostiles al objetivo protegido. La clave de esta estrategia radica en el diseño de una ley de control distribuida que permite que los drones defensores puedan seguir trayectorias, mantener la posición y orientarse en el espacio preservando en todo momento la forma del escudo en función de la ubicación y velocidad del enjambre hostil y el objetivo a defender. Además, la estrategia propuesta es escalable y adaptable a diferentes tamaños de áreas protegidas, desde pequeñas instalaciones hasta grandes regiones geográficas.Publicación Low-Cost Portable System for Measurement and Representation of 3D Kinematic Parameters in Sport Monitoring: Discus Throwing as a Case Study(MDPI, 2022-12-02) Navarro Iribarne, Juan Francisco; Moreno Salinas, David; Sánchez Moreno, José; https://orcid.org/0000-0001-6994-3064Monitoring of sports practice has become an almost essential tool in high-level professional training. The knowledge of the exact movements performed by an athlete provides a great advantage over conventional training, since the best performance can be theoretically known in advance and the trainer will expect the real athlete’s movements to approximate it. Following this trend, this article deals with the design and development of a low-cost wearable biofeedback system for the measurement and representation of kinematic parameters in 3D. To capture the athlete’s movements, an inertial measurement unit (IMU) is used, whose data are processed in an microcontroller-based architecture. The kinematic parameters of the athlete’s movement are sent via Bluetooth to a smart phone, where they are displayed graphically. Experimental examples show the effectiveness of the device developed and illustrate the key results derived.Publicación Sistema de mejora del entrenamiento del lanzamiento de disco basado en IMU y vídeo(2024-06-24) Sánchez Moreno, JoséPublicación Design and Development of an SVM-Powered Underwater Acoustic Modem(MDPI, 2024-05-05) Guerrero Chilaber, Gabriel S.; Moreno Salinas, David; Sánchez Moreno, José; https://orcid.org/0009-0009-9959-0250Underwater acoustic communication is fraught with challenges, including signal distortion, noise, and interferences unique to aquatic environments. This study aimed to advance the field by developing a novel underwater modem system that utilizes machine learning for signal classification, enhancing the reliability and clarity of underwater transmissions. This research introduced a system architecture incorporating a Lattice Semiconductors FPGA for signal modulation and a half-pipe waveguide to emulate the underwater environment. For signal classification, support vector machines (SVMs) were leveraged with the continuous wavelet transform (CWT) employed for feature extraction from acoustic signals. Comparative analysis with traditional signal processing techniques highlighted the efficacy of the CWT in this context. The experiments and tests carried out with the system demonstrated superior performance in classifying modulated signals under simulated underwater conditions, with the SVM providing a robust classification despite the presence of noise. The use of the CWT for feature extraction significantly enhanced the model’s accuracy, eliminating the need for further dimensionality reduction. Therefore, the integration of machine learning with advanced signal processing techniques presents a promising research line for overcoming the complexities of underwater acoustic communication. The findings underscore the potential of data mining methodologies to improve signal clarity and transmission reliability in aquatic environments.