The RFX-mod2 Nuclear Fusion experiment is an upgrade of RFX-mod, which was shutdown in 2016. Among the other improvements in the machine structure and diagnostics, a larger number of electromagnetic probes (EMs) is foreseen to provide more information about plasma instabilities and to allow an improved real-time plasma control. An analog-to-digital converter (ADC) architecture able to provide, at the same time, both transient recording and real-time streaming, as well as field-programmable gate array (FPGA)-based time integration of the inputs, is foreseen in RFX-mod2. Transient recording provides full-speed data acquisition (up to 1 MSample/s) by recording data in local memory and reading memory content after the plasma discharge. Real-time streaming of the subsampled data is required for active control. The chosen technology is based on the XILINX Zynq architecture that provides, in the same chip, a multicore Advanced RISC Machines (ARM) processor tightly coupled to an FPGA. Time-critical functions are carried out by the FPGA, such as the management of the circular data buffer, low-pass filtering for subsampling of the samples to be streamed, and digital integration. Other functions are carried out by the processor, such as the management of the configuration setting, received via Transmission Control Protocol (TCP)/IP or Hypertext Transfer Protocol (HTTP), the data readout of acquired samples in transient recording buffers, and network data streaming of data collected for active real-time plasma control.
A Zynq-Based Flexible ADC Architecture Combining Real-Time Data Streaming and Transient Recording
Rigoni Garola A.; Manduchi G.; Gottardo M.; Cavazzana R.; Recchia M.; Taliercio C.; Luchetta A.
Journal:
IEEE transactions on nuclear science 68 (2),
pp. 245 - 249
Year:
2021
ISTP Authors: Cesare Taliercio
Mauro Recchia
Gabriele Manduchi
Keywords: variational autoencoders, Real-time control, Data imputation, data integration, field-programmable gate array (FPGA), missing data, neural net-works, plasma diagnostic, quantized networks, sparse regularization
Research Activitie: JOURNAL ARTICLES
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