Paper |
Title |
Page |
MOPPC056 |
The Detector Safety System of NA62 Experiment |
222 |
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- G. Maire, A. Kehrli, S. Ravat
CERN, Geneva, Switzerland
- H. Coppier
ESIEE, Amiens, France
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The aim of the NA62 experiment is the study of the rare decay K+→π+ν;ν- at the CERN SPS. The Detector Safety System (DSS) developed at CERN is responsible for assuring the protection of the experiment’s equipment. DSS requires a high degree of availability and reliability. It is composed of a Front-End and a Back-End part, the Front-End being based on a National Instruments cRIO system, to which the safety critical part is delegated. The cRIO Front-End is capable of running autonomously and of automatically taking predefined protective actions whenever required. It is supervised and configured by the standard CERN PVSS SCADA system. This DSS system can easily adapt to evolving requirements of the experiment during the construction, commissioning and exploitation phases. The NA62 DSS is being installed and has been partially commissioned during the NA62 Technical Run in autumn 2012, where components from almost all the detectors as well as the trigger and the data acquisition systems were successfully tested. The paper contains a detailed description of this innovative and performing solution, and demonstrates a good alternative to the LHC systems based on redundant PLCs.
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Poster MOPPC056 [0.613 MB]
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THPPC077 |
A Fuzzy-Oriented Solution for Automatic Distribution of Limited Resources According to Priority Lists |
1246 |
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- M. Pezzetti, V. Inglese, A. Tovar
CERN, Geneva, Switzerland
- M.M. Almeida
UFMG, Belo Horizonte, Brazil
- H. Coppier
ESIEE, Amiens, France
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This paper proposes a solution for resources allocation when limited resources supply several clients in parallel. The lack of a suitable limitation mechanism in the supply system can lead to the depletion of the resources if the total demand exceeds the availability. To avoid this situation, an algorithm for priority handling which relies on the Fuzzy Systems Theory is used. The Fuzzy approach, as a problem-solving technique, is robust with respect to model and parameter uncertainties and is well-adapted to systems whose mathematical formulation is difficult or impossible to obtain. The aim of the algorithm is to grant a fair allocation if the resources availability is sufficient for all the clients, or, in case of excess of demand, on the basis of priority lists, to assure enough resources only to the high priority clients in order to allow the completion of the high priority tasks. Besides the general algorithm, this paper describes the Fuzzy approach applied to a cryogenic test facility at CERN. Simulation tools are employed to validate the proposed algorithm and to characterize its performance.
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THPPC125 |
Evaluation and Implementation of Advanced Process Control with the compactRIO Material of National Instrument |
1355 |
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- G. Maire, A. Kehrli, M. Pezzetti, S. Ravat
CERN, Geneva, Switzerland
- B. Charnier, H. Coppier
ESIEE, Amiens, France
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Programmable Logic Controller (PLC) is very commonly used in many industries and research applications for process control. However a very complex process control may require algorithms and performances beyond the capability of PLCs, very high-speed or precision controls may also require other solutions. This paper describes recent research conducted to implement advanced process controls with the cRIO material from National Instruments (decoupling of MIMO process control, steady state feedback, observer, Kalman filter, etc
). The cRIO systems consist of an embedded real-time controller for communication and processing, a Reconfigurable Field Programmable Array (FPGA) and hot-swappable I/O modules. The paper presents experimental results and the ability of the cRIO to treat complex process control.
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Poster THPPC125 [1.004 MB]
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