4.5 Article

A new scheme of plasma control system based on real-time Linux cluster for HL-2M

期刊

FUSION ENGINEERING AND DESIGN
卷 192, 期 -, 页码 -

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ELSEVIER SCIENCE SA
DOI: 10.1016/j.fusengdes.2023.113763

关键词

Plasma Control System; HL-2M tokamak; Real-time control; Linux cluster

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HL-2M is a medium-sized tokamak constructed by the Southwestern Institute of Physics (SWIP) in China. A new plasma control system (PCS) based on the software framework of DIII-D PCS for HL-2M has been proposed to replace the original loose system. The new PCS hardware consists of three computer nodes and peripheral equipment, with data acquisition completed by a standing server and a reflective memory network. The software architecture of DIII-D PCS is generally retained, but with added interfaces to adapt to the existing system. The upgraded Linux operating system enables better performance for real-time tasks. Preliminary verification through simulation shows that the new PCS can output control commands as expected.
HL-2M is a medium-sized tokamak constructed by the Southwestern Institute of Physics (SWIP) in China. A new plasma control system (PCS) based on the software framework of DIII-D PCS for HL-2M has been proposed to replace the original loose system. The new hardware system proposed in this paper consists of three computer nodes and peripheral equipment. Data acquisition is completed by a standing server and a reflective memory network that passes back data. The software architecture of DIII-D PCS is generally retained, but some interfaces are added to adapt to the existing system. In addition, the Linux operating system has also been upgraded and optimized so that real-time tasks can achieve better performance. The initial system involves some basic control algorithms satisfying early experiments. The new PCS has been preliminarily verified through simulation and can output control commands as expected in the integrated environment. This paper focuses on two aspects of DIII-D PCS on a new device, i.e., performance and interface adaptation. More efforts will be made to add more algorithms and use the system in real experiments.

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