Author: Donze, M.    [Donzé, M.]
Paper Title Page
TUMBCMO25 Operational Controls for Robots Integrated in Accelerator Complexes 423
 
  • S.F. Fargier, M. Donzé
    European Organization for Nuclear Research (CERN), Geneva, Switzerland
  • M. Di Castro
    CERN, Meyrin, Switzerland
 
  The fourth industrial revolution, the current trend of automation and data interconnection in industrial technologies, is becoming an essential tool to boost maintenance and availability for space applications, warehouse logistics, particle accelerators and for harsh environments in general. The main pillars of Industry 4.0 are Internet of Things (IoT), Wireless Sensors, Cloud Computing, Artificial Intelligence (AI), Machine Learning and Robotics. We are finding more and more way to interconnect existing processes using technology as a connector between machines, operations, equipment and people. Facility maintenance and operation is becoming more streamlined with earlier notifications, simplifying the control and monitor of the operations. Core to success and future growth in this field is the use of robots to perform various tasks, particularly those that are repetitive, unplanned or dangerous, which humans either prefer to avoid or are unable to carry out due to hazards, size constraints, or the extreme environments in which they take place. To be operated in a reliable way within particle accelerator complexes, robot controls and interfaces need to be included in the accelerator control frameworks, which is not obvious when movable systems are operating within a harsh environment. In this paper, the operational controls for robots at CERN is presented. Current robot controls at CERN will be detailed and the use case of the Train Inspection Monorail robot control will be presented.  
slides icon Slides TUMBCMO25 [47.070 MB]  
poster icon Poster TUMBCMO25 [2.228 MB]  
DOI • reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUMBCMO25  
About • Received ※ 05 October 2023 — Revised ※ 29 November 2023 — Accepted ※ 11 December 2023 — Issued ※ 16 December 2023
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
TH2BCO04 SAMbuCa: Sensors Acquisition and Motion Control Framework at CERN 1179
 
  • A. Masi, O.Ø. Andreassen, M. Arruat, M. Di Castro, R. Ferraro, I. Kozsar, E.W. Matheson, J.P. Palluel, P. Peronnard, J. Serrano, J. Tagg, F. Vaga, E. Van der Bij
    CERN, Meyrin, Switzerland
  • S. Danzeca, M. Donzé, S.F. Fargier, M. Gulin, E. Soria
    European Organization for Nuclear Research (CERN), Geneva, Switzerland
 
  Motion control systems at CERN often have challenging requirements, such as high precision in extremely radioactive environments with millisecond synchronization. These demanding specifications are particularly relevant for Beam Intercepting Devices (BIDs) such as the collimators of the Large Hadron Collider (LHC). Control electronics must be installed in safe areas, hundreds of meters away from the sensors and actuators while conventional industrial systems only work with cable lengths up to a few tens of meters. To address this, several years of R&D have been committed to developing a high precision motion control system. This has resulted in specialized radiation-hard actuators, new sensors, novel algorithms and actuator control solutions capable of operating in this challenging environment. The current LHC Collimator installation is based on off-the-shelf components from National Instruments. During the Long Shutdown 3 (LS3 2026-2028), the existing systems will be replaced by a new high-performance Sensors Acquisition and Motion Control system (SAMbuCa). SAMbuCa represents a complete, in-house developed, flexible and modular solution, able to cope with the demanding requirements of motion control at CERN, and incorporating the R&D achievements and operational experience of the last 15 years controlling more than 1200 axes at CERN. In this paper, the hardware and software architectures, their building blocks and design are described in detail.  
slides icon Slides TH2BCO04 [5.775 MB]  
DOI • reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TH2BCO04  
About • Received ※ 05 October 2023 — Revised ※ 12 October 2023 — Accepted ※ 19 December 2023 — Issued ※ 20 December 2023
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)