NORMEY RICO , Julio Elías

Los estudios que se presentan en la tesis se centran el la estructura de predicción y los efectos que ésta tiene sobre el sistema de control en bucle cerrado. Este problema es tratado de forma unificada acercando, y en algunas situaciones combinando, resultados provenientes del área del control predictivo basado en modelo y del área de los...

Ce papier montre que des lois de commandes "optimales" basees sur des structures predictives "optimales" ne sont pas "optimales" dans leur comportement en boucle fermee et que la synthese de predicteurs devrait prendre en compte des considerations de boucle fermee. Cela est d'abord illustre avec un systeme du premier ordre a retard. l'index...

Este trabajo analiza el control de sistemas con retardo cuando se utilizan estructuras de control basadas en predictores. Se estudia la robustez de diversas estrategias de compensación de retardo y los efectos producidos por el predictor en el comportamiento en bucle cerrado del sistema. Esta problemática se trata de forma unificada utilizando...

This paper shows how most dead-time compensators can be considered as a particular case ofa proposed general control structure. The proposed structure can be tuned taking into account the performance and robustness ofthe closed-loop. The obtained controller is more general and allows better results than previous algorithms. In order to...

This paper presents a methodology to introduce the control of dead-time processes using a simple and intuitive predictive approach. A trivial solutionfor the control of a process with a dead-time is first proposed. From this strategythe idea of the predictor based controller is derived. Open-loop predictors andclosed-loop ones are then used to...

Este trabajo presenta el diseño de un controlador predictivo basado en modelo para las dinámicas lateral y longitudinal de un vehículo autónomo. El controlador propuesto se implementa mediante una estructura en cascada con el control de la cinemática del vehículo para obtener las prestaciones deseadas a altas velocidades para el problema de...

This paper presents a simple design method for improving the robustness of the GPC using the T polynonial as a filter. Although different methods have been proposed in literature, the one presented here not only proposes a choice of the polynomial, but differs from the others in the way that the polynomial is used to filter the predktions. The...

This paper presents a methodology for tuning PIDs considering the nominal performance and the robustness as control specifications. The synthesis procedure is similar to the Ziegler-Nichols method for PID controllers and can be easily used for industrial processes. As a workbench for testing the PID controller a mobile robot has been used. The...

Este trabajo presenta el diseño de un controlador predictivo basado en modelo para las dinámicas lateral y longitudinal de un vehículo autónomo. El controlador propuesto se implementa mediante una estructura en cascada con el control de la cinemática del vehículo para obtener las prestaciones deseadas a altas velocidades para el problema de...

This paper describes an easy-to-use PI controller with dead-time compensation that presents robust behaviour and can be applied to plants with variable dead-time. The formulation is based on an adaptive Smith predictor structure plus the addition of a filter acting on the error between the output and its prediction in order to improve...

Este trabajo presenta un algoritmo para la optimización económica de una micro red basada en el control predictivo. La micro red tiene una conexión de red y una estación de carga para coches eléctricos. El modelado del sistema utilizó la metodología de los Energy Hubs. El algoritmo propuesto tiene la tarea de llevar a cabo la gestión de la...

This paper presents a binary search algorithm to deal with binary variables in mixed integer optimization problems. One example of this kind of problem is the optimal operation of hydrogen storage and energy sale and purchase into a microgrids context. In this work was studied a system composed by a microgrid that has a connection with...

The important role that linear matrix inequalities have attained in the last years makes it compulsory to include them in the education of a control engineer. As the development of efficient semidefinite programming algorithms date from the early nineties, there is a lack of teaching experience in this field (at least when it is compared with...

This work presents a process supervision and advanced control structure, based on Model Predictive Control (MPC) coupled with disturbance estimation techniques and a finite-state machine decision system, responsible for setting energy productions set-points. This control scheme is applied to energy generation optimization in a sugar cane power...

In this paper, we address the problem of modeling error in economically optimal control. A single layer controller is proposed that integrates the economical part of the Real Time Optimization (RTO), the dynamic part of the Model Predictive Control (MPC) and the Modifier Adaptation strategy (MA), resulting in a controller with the following...

In this paper, we formalise a fault-tolerant control and mitigation strategy for the energy management of renewable microgrids. The scheme is composed of a Model Predictive Control (MPC) algorithm based on a Linear Parameter Varying (LPV) model for the microgrid energy dispatch. The MPC uses fault diagnosis information in order to correctly...

Concentrating Solar Power systems are widely applied as a means to utilize the sun's abundant renewable energy, but the design of these processes facilitates the occurrence of overheating. This work presents two approaches for calculating the mirror angles of a fresnel collector in order to limit the amount of solar energy collected. The...

This paper proposes the first application of a split-range control technique on a concentrating solar collector to improve an absorption plant production. Solar absorption plants have solar power availability in phase with cooling demand under design conditions. Thus, it is a powerful cooling technology in the context of renewable energy and...

Solar absorption plants are renewable energy systems with a special advantage: the cooling demand follows the solar energy source. The problem is that this plant presents solar intermittency, phenomenological complexity, and nonlinearities. That results in a challenge for control and energy management. In this context, this paper develops a...

This work develops digital entities of a commercial Fresnel Solar Collector (FSC) installed in an absorption cooling plant. The objective is to create and validate models that describe the FSC dynamics across its whole operation range during the day and the night. Thus, the temperatures range between operation temperature of 180° C and almost...

The aim of this study is to create a digital twin of a commercial absorption chiller for control and optimization purposes. The chiller is a complex system that is affected by solar intermittency and non-linearities. The authors use Adaptive Neuro-fuzzy Inference System (ANFIS) to model the chiller's behavior during transients and part-load...