Publication: Research - peer-review › Article in proceedings – Annual report year: 2012
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.
|Title||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|
|Conference||17th Nordic Process Control Workshop|
|Period||25-01-12 → 27-01-12|
- Wind turbines, Linear parameter varying, Model predictive control, Nonlinear systems, LIDAR measurements
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