FRIB, East Lansing, USA
NSCL, East Lansing, Michigan, USA
The FRIB Machine Protection System (MPS) is designed to protect accelerator components from damage by the beam in case of operating failure. MPS includes master and slave nodes, which are controlled by MPS IOC. In this paper, we present design of MPS IOC and status of its prototyping.
FRIB, East Lansing, USA
FRIB is a heavy ion linac facility to accelerate all stable ions up to 200 MeV/u with the beam power of 400 kW under construction at Michigan State University. It is required for FRIB driver linac to support various modes of operation with different ion species, charge states, beam energy and so on to meet requirements from experiments. In this paper, we describe overall design of operation modes, machine states, and software to manage transitions of those mitigating the risk of machine damage in FRIB.
FRIB, East Lansing, USA
The Facility for Rare Isotope Beams (FRIB), a high-power, heavy ion facility, can accelerate beam up to 400 kW power with kinetic energy ≥ 200 MeV/u. Its fast protection system is required to detect failure and remove beam within 35 μs to prevent damage to equipment. The fast protection system collects OK/NOK inputs from hundreds of devices, such as low level RF controllers, beam loss monitors, and beam current monitors, which are distributed over 200 m. The engineering challenge here is to design a distributed control system to collect status from these devices and send out the mitigation signals within 10 μS timing budget and also rearm for the next pulse for 100 Hz beam (10 mS). This paper describes an engineering solution with a master-slave structure adopted in FRIB. Details will be covered from system architecture to FPGA hardware platform design and from communication protocols to physical interface definition. The response time of ~9.6μS from OK/NOK inputs to mitigation outputs is reached when query method is used to poll the status. A new approach is outlined to use bi-direction loop structure for the slave chain and use streaming mode for data collection from slave to master, ~3μS response time are expected from this engineering optimization.