As a part of your Master thesis, you will develop a physics-informed current controller for grid-tied inverter control.
You will evaluate the linear regulator and the predictive controller as reference points, as well as establish their boundaries.
In addition, you will research current AI-based implementations in the literature.
Furthermore, you will be responsible for developing a concept to improve the implementation of AI-based black boxes and mitigate their drawbacks in grid-tied inverter applications.
Last but not least, you will select an AI-based concept, which may include machine learning, recurrent neural networks or reinforcement learning. If necessary, you will model the system alongside the implemented controller.
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