Current Status of EAST Plasma Control and Data Acquisition

Xiao, Bingjia; Ji, Zhenshan; Shen, Biao; Li, G M; Wang, H Z; Wang, F; Qin, Yuan; Yang, Fei; Sun, Xiaoyang; Luo, Junhua; Wang, Yixiang; Wu, Y C; Zhang, R R; Luo, Z.P.; Dang, Nguyen Thong; Li, S; Zhou, Zhaoying; Wang, P; Humphreys, D.A.; Walker, M.L.; Hyatt, A.W.; Leuer, J.A.; Welander, A.S.; Johnson, Robert D.; Penaflor, B.G.; Piglowski, D.A.; Mueller, D.

doi:10.1109/tns.2010.2042067

Cited by 6 publications

(2 citation statements)

References 15 publications

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“…In this tokamak, the data are sampled with 250 kS/s and then, they are transformed and stored from RAM to cPCI computer memory continuously and in real-time [4]. In the next step, the generated data are transmitted via Gigabyte Ethernet network, compressed and stored, according to the MDSplus standard protocol [5,6]. The monitoring system of the EAST tokamak includes a variety of instruments, such as EASTViewer to view the output of the RT-EFIT code, LOGBook tool to store different comments and shot conditions, and RTScope tool to show the boundary lines of the plasma [5,7].…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of new control room system in Damavand tokamak

et al. 2017

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The aim of this paper is design and implementation of an up-to-date control room. The previous control room had a lot of constraints and it was not apposite to the sophisticated diagnostic systems as well as to the modern control and multivariable systems. Although it provided the best output for the considered experiments and implementing offline algorithms among all similar plants, it needed to be developed to provide more capability for complex algorithm mechanisms and this work introduces our efforts in this area. Accordingly, four leading systems were designed and implemented, including real-time control system, online Data Acquisition System (DAS), offline DAS, monitoring and data transmission system.In the control system, three real-time control modules were established based on Digital Signal Processor (DSP). Thanks to them, implementation of the classic and linear and nonlinear intelligent controllers was possible to control the plasma position and its elongation. Also, online DAS was constructed in two modules. Using them, voltages and currents of charge for the capacitor banks and pressure of different parts in vacuum vessel were measured and monitored. Likewise, by realtime processing of the online data, the safety protocol of plant performance was accomplished. In addition, the offline DAS was organized in 13 modules based on Field Programmable Gate Array (FPGA). This system can be used for gathering all diagnostic, control, and performance data in 156 channels. Data transmission system and storing mechanism in the server was provided by data transmitting network and MDSplus standard protocol. Moreover, monitoring software was designed so that it could display the required plots for physical analyses. Taking everything into account, this new platform can improve the quality and quantity of research activities in plasma physics for Damavand tokamak.

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Section: Introductionmentioning

confidence: 99%

Design and implementation of new control room system in Damavand tokamak

et al. 2017

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“…Critical, real-time algorithms can be processed just after the acquisition using Field Programmable Gate Array (FPGA) devices, whereas more complex algorithms that can be calculated in relaxed time (e.g. in range of 100 ms) can be computed using a CPU (Central Processing Unit) or GPU (Graphics Processing Unit) [3]- [6].…”

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confidence: 99%

High-Performance Image Acquisition and Processing System with MTCA.4

Makowski

Mielczarek

Perek

et al. 2015

IEEE Trans. Nucl. Sci.

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Fast evolution of high-performance cameras in recent years has made them promising tools for observing transient and fast events in large-scale scientific experiments. Complex experiments, such as ITER, take advantage of high-performance imaging system consisting of several fast cameras working in the range of visible and infrared light. However, the application of such devices requires a usage of high-performance data acquisition systems able to read and transfer large amount of data, reaching even 10 Gbit/s for a single camera. The MTCA.4 form factor fulfils the requirements of demanding imaging systems. The paper presents a first implementation of a complete image acquisition system built on the basis of MTCA.4 architecture, which is dedicated for the operation with high-resolution fast cameras equipped with Camera Link interface. Image data from the camera are received by the frame grabber card and transmitted to the host via the PCIe interface. The modular structure of MTCA.4 architecture allows connecting several cameras to a single MTCA chassis. The system can operate in two modes: with internal CPU installed in the MTCA chassis or with external CPU connected to the chassis with PCIe link. The usage of the external CPU opens a possibility to aggregate data from different subsystems. The system supports precise synchronization with the time reference using Precise Timing Protocol (IEEE 1588). The timing modules ensure clock distribution and triggers generation on backplane lines. These allow synchronization of image acquisition from different cameras with high precision. The software support for the system includes low-level drivers and API libraries for all components and a high-level EPICS-based environment for system control and monitoring.

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