Universidad de Costa Rica

Multivariable PI control for a boiler plant benchmark using the virtual reference feedback tuning


Colaboradores:
José David Rojas Fernández
Autores:
José David Rojas and Fernando Morilla and Ramón Vilanova
Revista:
IFAC Proceedings Volumes
Editor:
Elsevier
URL:
https://www.sciencedirect.com/science/article/pii/S1474667016310540

Resumen:

In this work, the Virtual Reference Feedback Tuning is applied to the control of a boiler plant benchmark. Only data (without any modelling step) was used to compute a series of PI controllers for both a decentralized and a complete multi-loop control strategies. When compared with other PI controllers, it was found that a better tuning of the controller was achieved yielding better closed-loop results. The original VRFT method was enhanced with a series of constraints during the optimization process that allows the user to select the position of the zero of the controller.

© 2020 Escuela de Ingeniería Eléctrica, Universidad de Costa Rica.