Persona: Dormido Canto, Raquel
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Dormido Canto
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Raquel
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Publicación Machine Learning Weather Soft-Sensor for Advanced Control ofWastewater Treatment Plants(MDPI, 2019) Hernández del Olmo, Félix; Gaudioso Vázquez, Elena; Duro Carralero, Natividad; Dormido Canto, RaquelControl of wastewater treatment plants (WWTPs) is challenging not only because of their high nonlinearity but also because of important external perturbations. One the most relevant of these perturbations is weather. In fact, different weather conditions imply different inflow rates and substance (e.g., N-ammonia, which is among the most important) concentrations. Therefore, weather has traditionally been an important signal that operators take into account to tune WWTP control systems. This signal cannot be directly measured with traditional physical sensors. Nevertheless, machine learning-based soft-sensors can be used to predict non-observable measures by means of available data. In this paper, we present novel research about a new soft-sensor that predicts the current weather signal. This weather prediction differs from traditional weather forecasting since this soft-sensor predicts the weather conditions as an operator does when controling the WWTP. This prediction uses a model based on past WWTP influent states measured by only a few physical and widely applied sensors. The results are encouraging, as we obtained a good accuracy level for a relevant and very useful signal when applied to advanced WWTP control systems.Publicación El sistema de tres tanques: un laboratorio virtual y remoto usando Easy Java Simulations(Actas de las IV Jornadas de Enseñanza a través de Internet/Web de la Ingeniería de Sistemas y Automática, EIWISA2005 (CEA-IFAC), pp.51-58, 2005-01-01) Vargas Oyarzun, Héctor; Dormido Bencomo, Sebastián; Duro Carralero, Natividad; Dormido Canto, Raquel; Sánchez Moreno, JoséPublicación Development of a Web-Based Control Laboratory for Automation Technicians: The Three-Tank System(IEEE TRANSACTIONS ON EDUCATION, 2007-01-01) Vargas Oyarzun, Héctor; Farias Castro, Gonzalo Alberto; Esquembre Martínez, Francisco; Dormido Bencomo, Sebastián; Dormido Canto, Raquel; Duro Carralero, Natividad; Sánchez Moreno, José; Dormido Canto, SebastiánPublicación Advanced Control by Reinforcement Learning for Wastewater Treatment Plants: A Comparison with Traditional Approaches(MDPI, 2023) Gorrotxategi Zipitria, Mikel; Hernández del Olmo, Félix; Gaudioso Vázquez, Elena; Duro Carralero, Natividad; Dormido Canto, RaquelControl mechanisms for biological treatment of wastewater treatment plants are mostly based on PIDS. However, their performance is far from optimal due to the high non-linearity of the biological and changing processes involved. Therefore, more advanced control techniques are proposed in the literature (e.g., using artificial intelligence techniques). However, these new control techniques have not been compared to the traditional approaches that are actually being used in real plants. To this end, in this paper, we present a comparison of the PID control configurations currently applied to control the dissolved oxygen concentration (in the active sludge process) against a reinforcement learning agent. Our results show that it is possible to have a very competitive operating cost budget when these innovative techniques are applied.Publicación The Three-Tank System: A Remote and Virtual Control Laboratory using Easy Java Simulations(2005-01-01) Vargas Oyarzun, Héctor; Dormido Bencomo, Sebastián; Duro Carralero, Natividad; Dormido Canto, Raquel; Sánchez Moreno, José; Pastor Vargas, Rafael; Dormido Canto, SebastiánPublicación WEB-BASED LEARNING RESOURCES FOR VOCATIONAL TRAINING FOR AUTOMATION TECHNICIANS(IFAC 2006, 2006-01-01) Vargas Oyarzun, Héctor; Dormido Bencomo, Sebastián; Farias Castro, Gonzalo Alberto; Esquembre Martínez, Francisco; Sánchez Moreno, José; Duro Carralero, Natividad; Dormido Canto, Raquel; Dormido Canto, SebastiánPublicación Tackling the start-up of a reinforcement learning agent for the control of wastewater treatment plants(Elsevier, 2018) Hernández del Olmo, Félix; Gaudioso Vázquez, Elena; Dormido Canto, Raquel; Duro Carralero, NatividadReinforcement learning problems involve learning by doing. Therefore, a reinforcement learning agent will have to fail sometimes (while doing) in order to learn. Nevertheless, even with this starting error, introduced at least during the non-optimal learning stage, reinforcement learning can be affordable in some domains like the control of a wastewater treatment plant. However, in wastewater treatment plants, trying to solve the day-to-day problems, plant operators will usually not risk to leave their plant in the hands of an inexperienced and untrained reinforcement learning agent. In fact, it is somewhat obvious that plant operators will require firstly to check that the agent has been trained and that it works as it should at their particular plant. In this paper, we present a solution to this problem by giving a previous instruction to the reinforcement learning agent before we let it act on the plant. In fact, this previous instruction is the key point of the paper. In addition, this instruction is given effortlessly by the plant operator. As we will see, this solution does not just solve the starting up problem of leaving the plant in the hands of an untrained agent, but it also improves the future performance of the agent.Publicación Heatflow: un laboratorio basado en web usando Easy JAva simulations y labview para el entrenamiento en técnicas de automatización(XII Latin-American Congress on Automatic Control , CD-ROM del Congreso, Salvador de Bahía (Brasil), october 2006, 2006-10-01) Vargas Oyarzun, Héctor; Farias Castro, Gonzalo Alberto; Dormido Bencomo, Sebastián; Canto Díez, María Antonia; Esquembre Martínez, Francisco; Dormido Canto, Raquel; Duro Carralero, Natividad; Sánchez Moreno, José; Dormido Canto, SebastiánPublicación Developing and Implementing Virtual and Remote Labs for Control Education: The UNED pilot experience(17th IFAC World Congress (IFAC'08) Seoul, Korea, July 6-11, 2008, 2008-07-06) Dormido Bencomo, Sebastián; Vargas Oyarzun, Héctor; Dormido Canto, Raquel; Duro Carralero, Natividad; Dormido Canto, Sebastián; Morilla García, FernandoLast years, research efforts on the development of virtual and remote laboratories in control engineering education have been reported in many conferences, workshops and journals. However, it is observed that pilot experiences about the utilization of web-based laboratories are not habitual practices. In this paper it is described the pilot experience of the Department of Computer Science and Automatic Control of the Spanish University of Distance Learning (UNED) about the introduction of three webbased laboratories in a course on process control. This experience begins with descriptions of the tools employed to develop client and server-sides and the collaborative environment used to publish the labs in Internet. Attention is due to the concept of task protocol. It consists essentially of an ordered list of activities that students must execute in the virtual and remote mode of each one of the three web-based laboratories. To conclude, results of the pilot experience are given by means of evaluation questionnaires.Publicación Red Automatl@bs. Compartiendo recursos de experimentación a través de Internet: la experiencia Automatl@bs(2009-09-01) Dormido Bencomo, Sebastián; Vargas Oyarzun, Héctor; Canto Díez, María Antonia; Farias Castro, Gonzalo Alberto; Sánchez Moreno, José; Dormido Canto, Raquel; Duro Carralero, Natividad; Dormido Canto, Sebastián; Morilla García, Fernando