Podrobná bibliografie
| Název: |
K-Best Sphere Decoding Algorithm for Long Prediction Horizon FCS-MPC. |
| Autoři: |
ZafraRatia, Eduardo, Vazquez, Sergio, Marquez Alcaide, Abraham, Franquelo, Leopoldo, Leon, Jose I., Perez Martin, Emilia |
| Zdroj: |
IEEE Transactions on Industrial Electronics; Aug2022, Vol. 69 Issue 8, p7571-7581, 11p |
| Témata: |
DECODING algorithms, UNINTERRUPTIBLE power supply, HORIZON, SPHERES, FORECASTING, PREDICTION models |
| Abstrakt: |
Finite control set model predictive control (FCS-MPC) strategies for power conversion devices benefit from extending the prediction horizon length. Solving this problem relies on the definition of the underlying integer least-squares problem. Sphere decoding algorithm (SDA) has been extensively used in previous works as an approach to solve this problem. In this article, a parallel and fully scalable K-best SDA hardware design is proposed as an alternative. The K-best SDA establishes a different breadth-first search strategy, which addresses some of the main drawbacks of the SDA. Through experimental tests based on an uninterruptible power supply, the K-best SDA performance for long prediction horizon FCS-MPC is assessed and verified. Results demonstrate key beneficial aspects through which the K-best SDA is capable of rendering an improved control performance when compared to the conventional SDA. [ABSTRACT FROM AUTHOR] |
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| Databáze: |
Complementary Index |