论文标题
高级低温过程控制和监测螺旋2超导linac
Advanced cryogenic process control and monitoring for the SPIRAL2 superconducting LINAC
论文作者
论文摘要
Spiral2是用于质子，杜特龙和重离子的超导加速器，在40 MeV时（用于Deuteron Beams）的最大束功率为200 kW。 26超导四分之一波腔以4.4 k的速度运行，并在液态氦浴中插入具有剧烈相分离器压力控制的液体氦气。往年已经看到了低温药物的高级过程控制的发展，因此由于自动耗散补偿和基于模型的控制，可以应对高热量动力学。后者是基于模型，使用SimCryogenics库，在可编程逻辑控制器中进行了优化和线性化。 Spiral2操作表明，即使在接近低温系统物理限制的热量耗散水平下，这种控制也可以保留RF和光束操作的指定条件。这些发展允许综合腔体消散的动态热负荷的虚拟观察者。本文根据物理热力学模型和机器学习技术总结了此类观察者的发展。
SPIRAL2 is a superconducting accelerator for protons, deuterons and heavy ions delivering a maximum beam power of 200 kW at 40 MeV (for deuteron beams). 26 superconducting quarter wave cavities are operated at 4.4 K, plunged in a liquid helium bath with a drastic phase separator pressure control. Previous years have seen the development of advanced process control for cryogenics allowing to cope with high heat load dynamics thanks to an automatic heat dissipation compensation and a model based control. The latter is based on models, using the Simcryogenics library, optimized and linearised in the Programmable Logic Controllers. The SPIRAL2 operation has demonstrated that such control allows to keep the specified conditions for RF and beam operation even at levels of heat load dissipation approaching the physical limits of the cryogenic system. These developments allowed to synthesise a virtual observer of the dynamic heat load dissipated by the cavities. The present paper summarises the development of such observer based on the physical thermodynamic model and on machine learning techniques.
