Abstract
Model predictive control (MPC) of a class of nonlinear systems is considered in
this paper. We will use Linear Parameter Varying (LPV) model of the nonlinear system.
By taking the advantage of having future values of the scheduling variable, we will simplify
state prediction. Consequently the control problem of the nonlinear system is simplied into a
quadratic programming. Wind turbine is chosen as the case study and we choose wind speed as
the scheduling variable. Wind speed is measurable ahead of the turbine, therefore the scheduling
variable is known for the entire prediction horizon.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 17th Nordic Process Control Workshop |
| Editors | John Bagterp Jørgensen, Jakob Kjøbsted Huusom, Gürkan Sin |
| Place of Publication | Kogens Lyngby |
| Publisher | Technical University of Denmark |
| Publication date | 2012 |
| Pages | 163-168 |
| ISBN (Print) | 978-87-643-0946-1 |
| Publication status | Published - 2012 |
| Event | 17th Nordic Process Control Workshop - Kongens Lyngby, Denmark Duration: 25 Jan 2012 → 27 Jan 2012 Conference number: 17 http://npcw17.imm.dtu.dk/ |
Conference
| Conference | 17th Nordic Process Control Workshop |
|---|---|
| Number | 17 |
| Country/Territory | Denmark |
| City | Kongens Lyngby |
| Period | 25/01/2012 → 27/01/2012 |
| Internet address |
Keywords
- Wind turbines
- Linear parameter varying
- Model predictive control
- Nonlinear systems
- LIDAR measurements