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- W4381837346 endingPage "175" @default.
- W4381837346 startingPage "159" @default.
- W4381837346 abstract "Finite control set model predictive control (FCS-MPC) is a salient control method for power conversion systems that has recently enjoyed remarkable popularity. Several studies highlight the performance benefits that long prediction horizons achieve in terms of closed-loop stability, harmonic distortions, and switching losses. However, the practical implementation is not straightforward due to its inherently high computational burden. To overcome this obstacle, the control problem can be formulated as an integer least-squares optimization problem, which is equivalent to the closest point search or closest vector problem in lattices. Different techniques have been proposed in the literature to solve it, with the sphere decoding algorithm (SDA) standing out as the most popular choice to address the long prediction horizon FCS-MPC. However, the state of the art in this field offers solutions beyond the conventional SDA that will be described in this article alongside future trends and challenges in the topic." @default.
- W4381837346 created "2023-06-25" @default.
- W4381837346 creator A5007420842 @default.
- W4381837346 creator A5024255011 @default.
- W4381837346 creator A5037393136 @default.
- W4381837346 creator A5041323260 @default.
- W4381837346 creator A5062933986 @default.
- W4381837346 date "2023-01-01" @default.
- W4381837346 modified "2023-10-17" @default.
- W4381837346 title "Long Prediction Horizon FCS-MPC for Power Converters and Drives" @default.
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