Grupo de Control Predictivo y Optimización Heurística

The objective of this Special Issue is to seek high-quality submissions that highlight emerging approaches and applications to answer some of the open questions in the field of model predictive control and optimization applied to process control. The topics of interest include but are not limited to:

Nonlinear predictive control of hybrid systems;
Multimodal nonlinear predictive control;
Stochastic predictive control;
Fuzzy and neural network predictive control;
Adaptative predictive control;
Economic predictive control;
Predictive control for fast dynamics;
Explicit predictive control;
Optimization algorithms for model predictive control;
Heuristic optimization for model predictive control;
Real industrial applications;
Real-time model predictive implementation;
Machine learning and artificial intelligence for model predictive control.
Prof. Dr. Sergio Garcia-Nieto
Prof. Dr. Javier Sanchis
Guest Editors

https://www.mdpi.com/journal/electronics/special_issues/mod_predictive_process_control?fbclid=IwAR0l1DrwQ7GJJdS0osFbf2eE0nafW9Qp06LUBbZPwjG6bAy2KBc2VzdlGWw

Special Issue "Model Predictive Control and Optimization Applied to Process Control" MDPI

https://www.mdpi.com/journal/electronics/special_issues/mod_predictive_process_control

Special Issue "Model Predictive Control and Optimization Applied to Process Control" MDPI

https://www.mdpi.com/journal/electronics/special_issues/mod_predictive_process_control

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Combined Heat and Power (CHP) systems are cogeneration systems. They produce electricity and allow the use of part of the heat generated that would otherwise be lost as waste.

The approach of this work is to implement advanced control to improve the overall energy management of the system.
Model-based predictive control has been used to optimize performance and is combined with basic low-level control to match optimal strategies with real-time control.

The management system (based on predictive control) that the micro-CHP system will use will be in charge of deciding at each moment when to turn on the battery, at what power, what amount of energy will be bought from the Network, what amount of energy will be used to charge the battery or what amount has to be discharged from the battery etc., in order to cover the electrical and thermal demand of the user.

Instituto ai2. Instituto de Automática e Informática Industrial de la UPV Universitat Politècnica de València UPV

https://youtu.be/sVkHEcZ7Xk4

Development of electric and thermal energy managment system for domestic use. #MicroCHP fuel cells. , Combined Heat and Power (CHP) systems are cogeneration systems. They produce electricity and allow the use of part o...

In this paper, we present a model of the cooling system of a PEMFC-based μ-CHP system, which is oriented to the design of the temperature control of the stack. The model has been developed from a μ-CHP system located in the laboratory of our research team, the predictive control and heuristic optimization group (CPOH).
Universitat Politècnica de València UPV Instituto ai2. Instituto de Automática e Informática Industrial de la UPV




https://ieeexplore.ieee.org/abstract/document/8762059

Estamos trabajando junto al CSIC ITQ Instituto de Tecnología Química UPV CSIC en el proyecto iCAREPLAST (Integrated Catalytic Recycling of Plastic Residues Into Added-Value Chemicals) https://www.icareplast.eu/

El proyecto H2020 iCAREPLAST en los medios...
La web de la Universitat Politècnica de València UPV y Valencia Plaza, se hace eco del proyecto europeo iCAREPLAST...

Con un presupuesto de 7'9 millones de euros, iCAREPLAST está coordinado por José Manuel Serra, profesor de Investigación del CSIC en el ITQ, y en él participan también Kerionics (empresa derivada del ITQ) y el Instituto ai2 de la UPV, cuyo equipo, liderado por el profesor Javier Sanchis, se encargará del modelado, control y optimización de la planta piloto.
https://www.upv.es/noticias-upv/noticia-10928-icareplast-es.html

Investigan nuevas formas de reciclar plástico para que no acabe en vertederos Investigan nuevas formas de reciclar plástico para que no acabe en vertederos

Por si os interesa, mantenemos acutalizada nuestra lista de publicaciones en revistas en nuestra web:

Revistas Portal de comunicación Grupo de Investigación Control predictivo y Optimización Heurística. Instituto Universitario de Automática e Informática Industrial. Universidad Politécnica de Valencia.

Proyecto Amperia. Sistema integrado de Virtual Power Plant con almacenamiento energético inteligente • SMARTGRIDSINFO Comunicación de Ampere Energy presentada al V Congreso Smart Grids 2018

Ya llevamos un tiempo trabajando en el campo de la energía y uno de los proyectos en los que estamos involucrados es el proyecto AMPERIA liderado por la empresa AMPERE ENERGY

Ampere Energy Web oficial de Ampere

Plan Estatal de Investigación Científica y Técnica y de Innovación.
Desarrollo de herramientas avanzadas para metodología de diseño y optimización multiobjetivo en Ingeniería de Control.
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Proyecto Retos I+D+I (DPI2015-71443-R) ESP Plan Estatal de Investigación Científica y Técnica y de Innovación. Desarrollo de herramientas avanzadas para metodología de diseño y optimización multiobjet...

New optimal controller tuning method for an AVR system using a simplified Ant Colony Optimization with a new constrained Nelder–Mead algorithm
M.J.Blondin, J.Sanchis, P.Sicard, J.M.Herrero. Applied Soft Computing. Vol 62, pp 216-229. 2018 (ISSN 1568-4946)

New optimal controller tuning method for an AVR system using a simplified Ant Colony Optimization with a new constrained Nelder–Mead algorithm In this paper, an optimal gain tuning method for PID controllers is proposed using a novel combination of a simplified Ant Colony Optimization algorit…