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- W3018388212 abstract "We propose a novel long horizon model predictive control algorithm for electric power converters. The proposed control framework is focusing not only on efficiency but also on simplicity. The underlying prediction model is using a centralized approach for back-to-back converters and the optimal solution is achieved using a sequential predictive control scheme. Instead of passing the best candidate solutions between control goals such as seen in other sequential predictive control strategies, we propose to pass on candidates through the prediction horizon. This allows to utilize a specialized algorithm, the K-best sphere decoder for the underlying optimization problem. Simulations show that the framework, while focusing on simplicity, is still able to meet the control goals." @default.
- W3018388212 created "2020-05-01" @default.
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- W3018388212 date "2020-01-01" @default.
- W3018388212 modified "2023-09-23" @default.
- W3018388212 title "Sequential Model Predictive Control of Electric Drives Using a K-Best Sphere Decoding Algorithm" @default.
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- W3018388212 doi "https://doi.org/10.1109/iwed48848.2020.9069572" @default.
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