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Trabajo presentado en la 5th Colombian Conference on Automatic Control (CCAC), celebrada desde Ibague (Colombia) de forma virtual, del 19 al 22 de octubre de 2021, The conching process is a crucial stage involving the development of sensory attributes and rheological properties of the final product. Currently, the monitoring of critical variables during this process is done off-line through extensive mea- surements with conventional methodologies based on laboratory analysis, e.g., the quantification of the concentration of the volatile active compounds of the flavor and aroma of a chocolate batch and its viscosity. All of them are related to an indicator for the chocolate sensory quality known as Conching Degree (CD). In this work, the observability analysis for a Phenomenological Based Model for the conching process is done as a first condition for the solution of a state estimation problem. Besides, the initial idea of a virtual sensor is proposed considering the available measurements from the conching process., This work is financed by the project supported by Compania Nacional de Chocolates and COLCIENCIAS 786-2017 “Beneficios Tributarios por inversion - CTeI”.

© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The 3th IEEE Colombian Conference on Automatic Control 2017 (CCAC) was held October 18-20th, 2017 at the Corales de Indias Hotel, Cartagena de Indias, Colombia. The conference was preceded by a day devoted to four technical workshops. CCAC is the main gathering for Colombian researchers, and it has begun to attract researchers from many different Latin American institutions. CCAC has been the main control conference in the country since 2011, one year after the IEEE CSS Colombian Chapter was founded. The conference is held in odd years, and previous meetings of CCAC were held in Bogotá (2011) and Manizales (2015). This was the first time it was organized in Cartagena de Indias, a small piece of paradise in the Colombian Caribbean coast. The 2017 CCAC was, for the first time, sponsored by the IEEE Control Systems Society (CSS), which highlights the quality of the event. CCAC also received support from the CSS Outreach Program, which provided funds to support students and travel for external keynote speakers.

A data-driven methodology that includes the unfalsified control concept in the framework of fault diagnosis and isolation (FDI) and fault-tolerant control (FTC) is presented. The selection of the appropriate controller from a bank of controllers in a switching supervisory control setting is performed by using an adequate FDI outcome. By combining simultaneous online performance assessment of multiple controllers with the fault diagnosis decision from structured hypothesis tests, a diagnosis statement regarding what controller is most suitable to deal with the current (nominal or faulty) mode of the plant is obtained. Switching strategies that use the diagnosis statement are also proposed. This approach is applied to a nonlinear experimentally validated model of the breathing system of a polymer electrolyte membrane fuel cell. The results show the effectiveness of this FDI–fault-tolerant control data-driven methodology

With the aim of distributing the total power required at the wind farm control level for each wind turbine, we proposed a multi-objective model predictive control scheme able to (i) ensure the tracking of the power demanded by the electrical grid; (ii) provide primary frequency control by de-loading the wind turbines; and (iii) maximize the total power reserve when the available power is higher than the power demand.

This paper presents a hybrid fuzzy-PID controller for air flow supply on a Proton Exchange Membrane fuel cell (PEMFC) system. The control objective is to adjust the oxygen excess ratio at a given a set-point in order to prevent oxygen starvation and damage of the fuel-cell stack. The proposed control scheme combines a fuzzy logic controller (FLC) and classical PID controller with a view to benefit the advantages of both controllers. The results show that the proposed technique performs significantly better than the classical PID controller and the FLC in terms of several key performances indices such as the Integral Squared Error (ISE), the Integral Absolute Error (IAE) and the Integral Time-weighted Absolute Error (ITAE) for the closed-loop control system.

Trabajo presentado a la 2nd KES International Conference on Innovation in Medicine and Healthcare (InMed-14), celebrada en San Sebastian (España) del 9 al 11 de julio de 2014., This extended abstract addresses the preliminary results of applying uncertainty handling strategies and advanced control techniques to the inventary management of hospitality pharmacy. Inventory management is one of the main tasks that a pharmacy department has to carry out in a hospital. It is a complex problem because it requires to establish a tradeoff between contradictory optimization criteria. The final goal of the proposed research is to update the inventory management system of hospitals such that it is possible to reduce the average inventory while maintaining preestablished clinical guarantees., The authors would like to acknowledge Junta de Andalucía (Pharmacontrol Project, P12- TIC-2400), for funding this work.

Trabajo presentado a la 11th International Conference on Hydroinformatics celebrada en New York (US) del 17 al 21 de agosto de 2014., This research has been partially funded by the DGR of Generalitat de Catalunya (SAC group Ref. 2009/SGR/1491), Doctorat Industrial AGAUR-2013-DI-041 and by EFFINET: Efficient Integrated Real-time Monitoring and Control of Drinking Water Networks (FP7-ICT2011-8-318556).

Trabajo presentado a la 11th International Conference on Hydroinformatics celebrada en New York (US) del 17 al 21 de agosto de 2014., Drainage networks are complex systems composed by several processes including recollection, transport, storing, treatment, and releasing the water to a receiving environment. The way Urban Drainage Systems (UDS) manage wastewater is through the convenient handling of active elements such as gates (redirection and/or retention), storing tanks, and pumping stations, when needed. Therefore, modeling and control of UDS basically consists in knowing and representing the (dynamical) behavior of these elements and managing them properly in order to achieve a given set of control objectives, such as minimization of flooding in streets or maximization of treated wastewater in the system. Given the large number of elements composing an UDS and the interaction between them, management and control strategies may depend on highly complex system models, which implies the explicit difficulty for designing real-time control (RTC) strategies. This paper makes a review of the models used to describe, simulate, and control UDS, proposes a revision of the techniques and strategies commonly used for the control UDS, and finally compares several control strategies based on a case study., This work has been partially supported by project N°548-2012 “Drenaje Urbano y Cambio Climático: Hacia los Sistemas de Alcantarillado del Futuro.”, Mexichem Colombia S.A, the scholarships of Colciencias N°567-2012 and 647-2013, and the EU Project EFFINET (FP7-ICT-2011-8-31855) and the DGR of Generalitat de Catalunya (SAC group Ref. 2009/SGR/1491).

In this report a continuous adaptive high-gain observer method is presented for the estimation of state variables that could not be measurable online and unknown time-varying parameters of leachate anaerobic digestion treatment process. The high-gain observer is a variant of the Luenberger extended observer and involves an adjustable gain parameter. It is characterized by easy implementation and calibration, is stable and exhibit exponential convergence. The observer is based on a simplified mathematical model of the system. Calibration of the model was performed with real data from the Upflow Anaerobic Sludge Blanket (UASB) reactor for landfill leachate treatment in open loop under normal operational conditions. The model performance is evaluated via numerical simulations showing adequate results. The criteria used for considering the model as acceptable is to calculate the values of Mean Magnitude of Relative Error (MMRE) and Prediction at level l.

The temperature control equipment on a pilot scale batch reaction system located at EAFIT University in Medelln, Colombia, is modeled and a new controller is designed aiming at using it in the reactor current PLC-based control system. Some mathematical models are developed from experimental data to describe the system behavior and using them several model based predictive controllers are designed. The simplest, yet reliable, model obtained is an ARX polynomial model of order (1,1,1) that yields a four states ane model for which an explicit MPC was calculated. This controller has a reduced mathematical complexity and can probably be used directly on the existing control system.

Society is gradually becoming aware that the current energy system, based on the use of fossil fuels is inefficient, highly polluting and finite supply. Within the scientific community and industry stakeholders, there is a unified agreement that indicates that hydrogen (H2), as an energy vector, combined with other sources of alternative energy, represents a safe and viable option to mitigate the problems associated with hydrocarbon combustion, because the entire system can be developed as an efficient, clean and sustainable energy source. In this context, the change from the current energy system to a new system with a stronger involvement of H2 relentlessly involves the introduction of fuel cells as elements of efficient energy conversion., Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales