Paper | Title | Other Keywords | Page |
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MO2AO07 | Dynamical Modelling Validation and Control Development for the New High-Dynamic Double-Crystal Monochromator (HD-DCM-Lite) for Sirius/LNLS | controls, FPGA, MMI, experiment | 100 |
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Two new High-Dynamic Double-Crystal Monochromators (HD-DCM-Lite) are under installation in Sirius/LNLS for the new beamlines QUATI (quick-EXAFS) and SAPUCAIA (SAXS), which requires high in-position stability (5 nrad RMS in terms of pitch) whereas QUATI’s DCM demands the ability to perform quick sinusoidal scans in frequencies, for example 15 Hz at 4 mrad peak-to-peak amplitude. Therefore, this equipment aims to figure as an unparalleled bridge between slow step-scan DCMs, and channel-cut quick-EXAFS monochromators. In the previous conference, the dynamical modelling of HD-DCM-Lite was presented, indicating the expected performance to achieve QUATI and SAPUCAIA requirements. In this work, we are going to present the offline validation of the dynamical modelling, comparing to the solutions achieved for the previous version of LNLS HD-DCMs. This work also presents the hardware-based control architecture development, discussing the loop shaping technique and upgrades in the system, such as the increase of the position resolution, synchronization of the rotary stages, and FPGA code optimization. Furthermore, we describe how the motion controller was developed, given the high-performance motion control, such as complex control algorithm in parallel with a minimal jitter and the expectations for the beamlines commissioning regarding detector and undulator synchronization. | |||
Slides MO2AO07 [2.432 MB] | |||
DOI • | reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO2AO07 | ||
About • | Received ※ 06 October 2023 — Revised ※ 07 October 2023 — Accepted ※ 12 December 2023 — Issued ※ 19 December 2023 | ||
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TUPDP006 | System Identification Embedded in a Hardware-Based Control System with CompactRIO | controls, FPGA, experiment, real-time | 489 |
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The development of innovative model-based design high bandwidth mechatronic systems with stringent performance specifications has become ubiquitous at LNLS-Sirius beamlines. To achieve such unprecedent specifications, closed loop control architecture must be implemented in a fast, flexible and reliable platform such as NI CompactRIO (cRIO) controller that combines FPGA and real-time capabilities. The design phase and life-cycle management of such mechatronics systems heavily depends on high quality experimental data either to enable rapid prototyping, or even to implement continuous improvement process during operation. This work aims to present and compare different techniques to stimulus signal generation approaching Schroeder phasing and Tukey windowing for better crest factor, signal-to-noise ratio, minimum mechatronic stress, and plant identification. Also show the LabVIEW implementation to enable embeddeding this framework that requires specific signal synchronization and processing on the main application containing a hardware-based control architecture, increasing system diagnostic and maintenance ability. Finally, experimental results from the High-Dynamic Double-Crystal Monochromator (HD-DCM-Lite) of QUATI (quick absorption spectroscopy) and SAPUCAIA (small-angle scattering) beamlines and from the High-Dynamic Cryogenic Sample Stage from SAPOTI (multi-analytical X-ray technique) of CARNAÚBA beamline are also presented in this paper. | |||
Poster TUPDP006 [0.766 MB] | |||
DOI • | reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP006 | ||
About • | Received ※ 06 October 2023 — Revised ※ 08 October 2023 — Accepted ※ 09 December 2023 — Issued ※ 13 December 2023 | ||
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THMBCMO08 | whatrecord: A Python-Based EPICS File Format Tool | EPICS, database, controls, PLC | 1206 |
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Funding: This work is supported by Department of Energy contract DE-AC02-76SF00515. whatrecord is a Python-based parsing tool for interacting with a variety of EPICS file formats, including R3 and R7 database files. The project aims for compliance with epics-base by using Lark grammars that closely reflect the original Lex/Yacc grammars. It offers a suite of tools for working with its supported file formats, with convenient Python-facing dataclass object representations and easy JSON serialization. A prototype backend web server for hosting IOC and record information is also included as well as a Vue.js-based frontend, an EPICS build system Makefile dependency inspector, a static analyzer-of-sorts for startup scripts, and a host of other things that the author added at whim to this side project. |
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Slides THMBCMO08 [1.442 MB] | |||
Poster THMBCMO08 [1.440 MB] | |||
DOI • | reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-THMBCMO08 | ||
About • | Received ※ 03 October 2023 — Revised ※ 24 October 2023 — Accepted ※ 14 December 2023 — Issued ※ 21 December 2023 | ||
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THMBCMO29 | Motion Controls for ORNL Neutron Science Experimental Beamlines | controls, EPICS, software, experiment | 1261 |
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Funding: ORNL is managed by UT-Battelle, LLC, under contract DE-AC05-00OR22725 for the U. S. Department of Energy This paper presents a comprehensive overview of the motion control systems employed within the neutron science user facilities at Oak Ridge National Laboratory (ORNL). The Spallation Neutron Source (SNS) and the High Flux Isotope Reactor (HFIR) at ORNL have a total of 35 neutron beam lines with numerous motors for mo-tion control. The motion systems vary in complexity from a linear sample positioning stage to multi-axis end stations. To enhance the capabilities of these motion systems, a concerted effort has been made to establish standardized hardware and flexible software that improve performance, increase reliability and provide the capability for automated experiments. The report discusses the various motion controllers used, the EPICS-based IOCs (Input Output Controllers), high-level motion software, and plans for ongoing upgrades and new projects. |
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Slides THMBCMO29 [1.893 MB] | |||
Poster THMBCMO29 [6.483 MB] | |||
DOI • | reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-THMBCMO29 | ||
About • | Received ※ 05 October 2023 — Revised ※ 10 October 2023 — Accepted ※ 13 December 2023 — Issued ※ 22 December 2023 | ||
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THMBCMO30 | Using ArUco Codes for Beam Spot Analysis with a Camera at an Unknown Position | EPICS, detector, MMI, controls | 1264 |
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Measuring the focus size and position of an X-ray beam at the interaction point in an synchrotron beamline is a critical parameter that is used when planning experiments and when determining if a beamline is achieving it’s design goals. Commonly this is performed using a dedicated UHV "focus chamber" comprising a fluorescent screen at an adjustable calibrated distance from the mounting flange and a camera on the same axis as the beam. Having to install a large piece of hardware makes regular checks prohibitively time consuming. A fluorescent screen can be mounted to a sample holder and moved using a manipulator in the existing end-station and a camera pointed at this to show a warped version of the beam spot at the interaction point. The warping of the image is caused by the relative position of the camera to the screen, which is difficult to determine and can change and come out of camera focus as the manipulator is moved. This paper proposes a solution to this problem using ArUco codes printed onto a fluorescent screen which provide a reference in the image. Reference points from the ArUco codes are recovered from an image and used to correct warping and provide a calibration in real time using an EPICS AreaDetector plugin using OpenCV. This analysis is presently in commissioning and aims to characterise the beam spots at the dual-colour beamline of the EMIL laboratory at BESSY II. | |||
Slides THMBCMO30 [4.674 MB] | |||
Poster THMBCMO30 [0.942 MB] | |||
DOI • | reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-THMBCMO30 | ||
About • | Received ※ 16 September 2023 — Revised ※ 10 October 2023 — Accepted ※ 13 October 2023 — Issued ※ 22 October 2023 | ||
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