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A master's thesis from Aalborg University
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Sensorless vector control of PMSG for wind turbine applications

Author

Term

4. term

Publication year

2009

Pages

83

Abstract

This thesis designs and evaluates a sensorless Field-Oriented Control (FOC) strategy for a surface-mounted Permanent Magnet Synchronous Generator (PMSG) intended for wind turbine use. FOC regulates the generator currents by aligning them with the magnetic field to control torque efficiently. Sensorless means the rotor position is estimated rather than measured with a physical sensor. For laboratory work, a 2.2 kW machine is used. The FOC is first simulated in MATLAB/Simulink using measured speed and position. A rotor position estimation method is also investigated and tested in simulation. The simulations show good performance for both sensored and sensorless FOC. In the lab, the sensored FOC is implemented on a dSPACE setup and operates as intended. The position estimation method, however, could not be implemented in the laboratory. The main conclusions are summarized in the final chapter.

Denne afhandling designer og vurderer en sensorløs feltorienteret styring (FOC) til en permanentmagnet-synkron generator (PMSG) med overflademonterede magneter, målrettet brug i vindmøller. FOC styrer generatorens strømme ved at justere dem i forhold til det magnetiske felt for effektiv momentkontrol. Sensorløs betyder, at rotorens position estimeres i stedet for at måles med en fysisk sensor. Til laboratorieforsøg anvendes en 2,2 kW maskine. FOC’en simuleres først i MATLAB/Simulink med brug af målte hastigheds- og positionssignaler. En metode til at estimere rotorpositionen undersøges og testes også i simulation. Simulationerne viser god ydeevne for både sensorbaseret og sensorløs FOC. I laboratoriet implementeres den sensorbaserede FOC på et dSPACE-setup og fungerer efter hensigten. Metoden til positionsestimering kunne derimod ikke implementeres i laboratoriet. De vigtigste konklusioner er samlet i det sidste kapitel.

[This apstract has been rewritten with the help of AI based on the project's original abstract]

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