Tesi etd-09052023-163804 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
GARRUCCIU, VITTORIA
URN
etd-09052023-163804
Titolo
Efficient algorithms for nonlinear model predictive control of steam turbines
Dipartimento
INGEGNERIA CIVILE E INDUSTRIALE
Corso di studi
INGEGNERIA CHIMICA
Relatori
relatore Ing. Bacci di Capaci, Riccardo
relatore Ing. Vaccari, Marco
controrelatore Prof. Pannocchia, Gabriele
relatore Ing. Vaccari, Marco
controrelatore Prof. Pannocchia, Gabriele
Parole chiave
- mpc
- mode predictive control
- concentrated solar plant
- steam turbine
- process control
- collocation methods
Data inizio appello
29/09/2023
Consultabilità
Non consultabile
Data di rilascio
29/09/2093
Riassunto
This work of thesis is aimed at developing a Model Predictive Control algorithm able to constrain the rotor stress and control the power generated by a Concentrated Solar Plant steam turbine. An analysis of the open-loop model was conducted, with particular attention to the methods of integration of ordinary differential equations. To perform the closed-loop simulations, it was used the algorithm “MPC CODE”, developed in the CPClab within the Department of Civil and Industrial Engineering of the University of Pisa, written in Python. In this work, various cases have been analyzed including the use of collocation methods to solve the dynamic optimization problem.
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