Tipo di tesi
Tesi di laurea magistrale
Titolo
Efficient algorithms for nonlinear model predictive control of steam turbines
Dipartimento
INGEGNERIA CIVILE E INDUSTRIALE
Corso di studi
INGEGNERIA CHIMICA
Parole chiave
- collocation methods
- concentrated solar plant
- mode predictive control
- mpc
- process control
- steam turbine
Data inizio appello
29/09/2023
Consultabilità
Non consultabile
Data di rilascio
29/09/2093
Riassunto (Italiano)
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.
