Efficient FPSoC Prototyping of FCS-MPC for Three-Phase Voltage Source Inverters

Zafra, Eduardo; Vázquez, Sergio; Guzmán-Miranda, H.; Sánchez, Juan Antonio Pastor; Márquez, Antonio J.; Leon, Jose I.; Franquelo, Leopoldo G.

doi:10.3390/en13051074

Cited by 14 publications

(12 citation statements)

References 33 publications

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“…In this case, it is of great interest to execute the smart monitoring tasks as processes of a real-time operating system like an embedded Linux [29], thus profiting from its communicating facilities. Even when hard real-time operating conditions are mandatory, it is still possible to dedicate one core processor of the SoC FPGA to run Linux OS, while the other one is bare metal and only devoted to the critical control tasks [38] ("asymmetric multiprocessing").…”

Section: Next Generation Of Smart Controllers For Electrical Energy Systemsmentioning

confidence: 99%

System-on-Chip FPGA Devices for Complex Electrical Energy Systems Control

Hilairet¹,

Spagnuolo

Cirstea

2022

EEE Ind. Electron. Mag.

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Section: Next Generation Of Smart Controllers For Electrical Energy Systemsmentioning

confidence: 99%

System-on-Chip FPGA Devices for Complex Electrical Energy Systems Control

Hilairet¹,

Spagnuolo

Cirstea

2022

EEE Ind. Electron. Mag.

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“…However, this is limited to specific FPSoCs from Xilinx and Intel [44]. A Xilinx Zynq-based FPSoC with ARM core is utilized for FCS-MPC prototyping in [45]. A Hw/Swbased approach is applied, and the results are compared with a DSP-based solution.…”

Section: Introductionmentioning

confidence: 99%

FPGA-Based Cost-Effective and Resource Optimized Solution of Predictive Direct Current Control for Power Converters

Sankar

Syamala²,

Ayyappan

et al. 2021

Energies

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Recent advances in power converter applications with highly demanding control goals require the efficient implementation of superior control strategies. However, the real-time application of such control strategies demands high computational power that necessitates efficient digital controllers like field programmable gate array (FPGA). The inherent parallelism offered by FPGAs minimizes the execution time and exhibits an excellent cost-performance trade-off. In addition, rapid advancements in FPGA technology with a broad portfolio of intellectual property (IP) cores, design tools, and robust embedded processors resulted in a design paradigm shift. This article proposes a low-cost solution for the resource-optimized implementation of dynamic, highly accurate, and computationally intensive finite state-predictive direct current control (FS-PDCC). The challenges for implementing complex control algorithms for power converters are discussed in detail, and the control is implemented in Intel’s low-cost non-volatile FPGA-MAX®10. An efficient design methodology using finite state machine (FSM) is adopted to achieve time/resource-efficient implementation. The parallel and pipelined architecture of FPGA provides better resource utilization with high execution speed. The experimental results prove the efficiency of FPGA-based cost-effective solutions that offer superior performance with better output quality.

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“…The implementation of identification techniques can be done using digital control platforms such as FPGAs [ 2 , 5 , 10 , 21 , 22 , 24 ], microcontrollers [ 9 , 25 ] or Systems on Chip (SoC) [ 26 , 27 , 28 ]. FPGA implementation allows for task parallelization and a very accurate timing.…”

Section: Introductionmentioning

confidence: 99%

“…Second, spectral analysis is applied for the identification itself, allowing open and closed-loop operation. Finally, the implementation on a SoC [ 26 , 27 , 28 ] allows full online operation, integrating all processing task in the digital platform and very accurate timing control.…”

Section: Introductionmentioning

confidence: 99%

Nonparametric Frequency Response Identification for Dc-Dc Converters Based on Spectral Analysis with Automatic Determination of the Perturbation Amplitude

Granda

Fernández

Barrado

et al. 2021

Sensors

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Digital control for high switching frequency converter enables new features on DC-DC power conversion for a minimum cost. Frequency response identification is one such enabled functionality used in auto tunning, measurement of components to assess the converter’s state of health, or system stability monitoring. High accuracy, flexibility to operate in open or closed loop, and minimum impact in the converter’s regular operation are the frequency response identification system’s goals. We propose in this paper a nonparametric identification system addressing these main goals. First, it can autoadjust the perturbation size to reduce the perturbation’s impact on the converter’s output quantities. Second, as it is based on spectral analysis, it is suitable for open and closed-loop operation. Third, we demonstrate the identification system’s high accuracy, achieving a very low difference between the experimental measurements and the discrete model used as reference.

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Efficient FPSoC Prototyping of FCS-MPC for Three-Phase Voltage Source Inverters

Cited by 14 publications

References 33 publications

System-on-Chip FPGA Devices for Complex Electrical Energy Systems Control

System-on-Chip FPGA Devices for Complex Electrical Energy Systems Control

FPGA-Based Cost-Effective and Resource Optimized Solution of Predictive Direct Current Control for Power Converters

Nonparametric Frequency Response Identification for Dc-Dc Converters Based on Spectral Analysis with Automatic Determination of the Perturbation Amplitude

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