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MOTOOLS

Multi-objective optimization tools for characterization and analysis of design concepts and efficient suboptimal solutions in systems engineering problems

Field
National
Date
01/01/2019 - 31/12/2021
Industry
  • Industry
Budget
Funded by

R+D+i PROJECTS "RETOS INVESTIGACIÓN" (Research Challenges) Ministry of Science, Innovation and Universities

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PROJECT INFORMATION

DESCRIPTION

This project aims, on the one hand, to develop advanced tools to apply the multiobjective optimization methodology in the design of control systems for complex multivariable processes and, on the other hand, to advance in the development of multivariable controllers using multiobjective optimization, with special emphasis on model-based predictive controllers (widely used in the process industry). In addition, all results will be validated in relevant applications in various engineering fields, mainly energy and transportation. In particular, we will work on systems based on PEM fuel cells (both for static and mobile applications) and on aspects related to the search for optimal operating points, energy management in vehicles, trajectory control, etc.

This project aims, on the one hand, to develop advanced tools to apply the multiobjective optimization methodology in the design of control systems for complex multivariable processes and, on the other hand, to advance in the development of multivariable controllers using multiobjective optimization, with special emphasis on model-based predictive controllers (widely used in the process industry). In addition, all results will be validated in relevant applications in various engineering fields, mainly energy and transportation. In particular, we will work on systems based on PEM fuel cells (both for static and mobile applications) and on aspects related to the search for optimal operating points, energy management in vehicles, trajectory control, etc.

Contact information

Blasco Ferragud, Francesc Xavier
University Professor - PDI

Ai2

Technological capabilities

IA
Predictive and prescriptive analytical technologies