Finite-Set Model Predictive Control offers a simple and intuitive way to control power electronics and electrical drive systems. However, FS-MPC methods suffer from two major drawbacks: On the one hand, the calculation effort rises exponentially with the prediction horizon which is crucial for real-time implementations. On the other hand, the time resolution is very low compared to modulation-based approaches which leads to high ripples on the controlled variables. This thesis presents solutions for both problems which are verified experimentally.
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Finite-Set Model Predictive Control offers a simple and intuitive way to control power electronics and electrical drive systems. However, FS-MPC methods suffer from two major drawbacks: On the one hand, the calculation effort rises exponentially with the prediction horizon which is crucial for real-time implementations. On the other hand, the time resolution is very low compared to modulation-based approaches which leads to high ripples on the controlled variables. This thesis presents solutions...
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