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Long-Horizon Finite-Control-Set Model Predictive Control With Nonrecursive Sphere Decoding on an FPGA.
- Source :
-
IEEE Transactions on Power Electronics . Jul2020, Vol. 35 Issue 7, p7520-7531. 12p. - Publication Year :
- 2020
-
Abstract
- Long-horizon finite-control-set model predictive control is implemented on a field-programmable gate array (FPGA). To solve the underlying least-squares integer program, a nonrecursive sphere decoding algorithm is developed. By exploiting the problem structure, few multipliers are required, and the algorithm computes the optimal solution in a few clock cycles, thus achieving a resource-efficient implementation on the FPGA. For a prediction horizon of five steps and a three-level converter, 87 digital signal processor blocks, and an execution time of at most $\text{13.4}\;\mu \text{s}$ was required to solve the optimization problem during steady-state operation. Experimental results verify the effectiveness of the long-horizon controller. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08858993
- Volume :
- 35
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Power Electronics
- Publication Type :
- Academic Journal
- Accession number :
- 142344905
- Full Text :
- https://doi.org/10.1109/TPEL.2019.2956213