Defesa de Dissertação de Mestrado – Leonardo Gobbi Lopez – 28/03/2018
28/03/2018 17:17
| Defesa de Dissertação de Mestrado | ||
| Aluno(a) | Leonardo Gobbi Lopez | |
| Orientador | Prof. Julio Elias Normey-Rico, Dr. – DAS/UFSC | |
| Data | 28/03/2018 (quarta-feira) – 13h30
Sala PPGEAS II (piso inferior) |
|
| Banca | Prof. Julio Elias Normey-Rico, Dr. – Presidente – DAS/UFSC;
Prof. Marcelo Lobo, Dr. – EEL/UFSC; Prof. Marcelo de Lellis Costa de Oliveira, Dr. – DAS/UFSC; Prof. Paulo Costa Mendes, Dr. – DAS/UFSC; Prof. Alexandre Trofino Neto, Dr. – DAS/UFSC (suplente). |
|
| Título | Practical Nonlinear Model Predictive Control of a 5 MW Wind Turbine | |
| Abstract: The device that harvests energy from the wind is called wind turbine. It is a growing market for renewable energy being the one that must grew in recent years. In search of better efficiency control algorithms have been sought to obtain higher energy conversion to electric and less fatigue to the wind turbine’s tower. Model Predictive Controllers (MPC) have shown benefits when implemented in a wind turbine, therefore a novel predictive technique called Practical Nonlinear Predictive Controller (PNMPC) is used in this work to be a middle ground from linear and nonlinear predictive controllers. The turbine controlled in this work is the NREL 5 MW onshore wind turbine using the FAST simulator with MATLAB / Simulinktextregistered. The PNMPC algorithm uses similar ideas as Generalized Predictive Controller (GPC) and Dynamic Matrix Controller (DMC), but uses an internal model linearization at each sampling time around the present operational point. To apply the PNMPC in the wind turbine a mathematical model, wind estimator and a Luenberger observer were implemented and showed good results. All peculiarities of the wind turbine are addressed as well as the controller details. The PNMPC’s performance is compared to a baseline controller and other PNMPC’s variations. The baseline controller outperformed the PNMPC for low wind speeds, but it was inferior in high wind speeds scenarios. In high winds the PNMPC kept a tighter electric power capture with less fatigue loads to the tower. | ||
