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The DACS is based on FPGA (Field-Programmable Gate Array) programming of the CompactRIO module from National Instruments to minimize its data acquisition and control time.
The data acquisition and control time for the HSGT obtained with the novel DACS interface design is 0.18 ms, which corresponds to a data transmission bandwidth of 1.35 Mbytes/s given that the HSGT data frame consists of 85 channels each comprising a 24 bit resolution.
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The CompactRIO module includes a reconfigurable FPGA, which provides hardware-level data acquisition and control determinism with a time resolution of 25 ns.
This paper outlines a powerful, yet flexible real-time data acquisition and control system for use in the triggering and measurement of both analog and digital events.
The experiment provides students with "hands-on" experience on a real-life system incorporating process, electrical, and mechanical components, as well as real-time data acquisition and control.
An automated pilot plant has been designed and commissioned to carry out online/real-time data acquisition and control for the Cr6+ Fe2+ reduction process.
The program of Real-time data acquisition and control has been developed using modules called, "To Instrument" and "Query Instrument" of MATLAB for experimental work.
Using a real-time data acquisition and control, this unit can be used to impose non-linear damping PTO characteristic curves in several types of WEC models based on eddy current brakes.
The currently available multi-core PCI Express systems running LabVIEW RT (real-time), equipped with FPGA cards for data acquisition and real-time parallel signal processing, greatly shorten the design and implementation cycles of large-scale, real-time data acquisition and control systems.
Distinguishing features of the completed PCS upgrade include a custom real-time data acquisition and control solution based on the Linux Intel computing platform and a scaleable multi CPU parallel processing architecture connected by a two gigabit per second Myrinet network.
The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination.
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