ICALEPCS2023 - List of Keywords (acceleration)

Paper	Title	Other Keywords	Page
TUPDP004	System Identification via ARX Model and Control Design for a Granite Bench at Sirius/LNLS	controls, experiment, simulation, feedback	479
	J.P.S. Furtado, I.E. Santos, T.R. Silva Soares LNLS, Campinas, Brazil
	Modern 4th generation synchrotron facilities demand mechanical systems and hardware capable of fine position control, improving the performance of experiments at the beamlines. In this context, granite benches are widely used to position systems such as optical elements and magnetos, due to its capacity of insulating interferences from the ground. This work aims to identify the transfer function that describes the motion of the granite bench at the EMA Beamline (Extreme conditions Methods of Analysis) and then design the control gains to reach an acceptable motion performance in the simulation environment before embedding the configuration into the real system, followed by the validation at the beamline. This improvement avoids undesired behaviour in the hardware or in the mechanism when designing the controller. The bench, weighting 1.2 tons, is responsible by carrying a coil, weighting 1.8 tons, which objective is to apply a 3 T magnetic field to the sample that receives the beam provided by the electrons accelerator. The system identification method applied in this paper is based on the auto-regressive model with exogenous inputs (ARX). The standard servo control loop of the Omron Delta Tau Power Brick controller and the identified plant were simulated in Simulink in order find the control parameters. This paper shows the results and comparison of the simulations and the final validation of the hardware performance over the real system.
	Poster TUPDP004 [0.720 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP004
About •	Received ※ 06 October 2023 — Accepted ※ 28 November 2023 — Issued ※ 17 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

TUPDP004

System Identification via ARX Model and Control Design for a Granite Bench at Sirius/LNLS

controls, experiment, simulation, feedback

479

J.P.S. Furtado, I.E. Santos, T.R. Silva Soares
LNLS, Campinas, Brazil

Modern 4th generation synchrotron facilities demand mechanical systems and hardware capable of fine position control, improving the performance of experiments at the beamlines. In this context, granite benches are widely used to position systems such as optical elements and magnetos, due to its capacity of insulating interferences from the ground. This work aims to identify the transfer function that describes the motion of the granite bench at the EMA Beamline (Extreme conditions Methods of Analysis) and then design the control gains to reach an acceptable motion performance in the simulation environment before embedding the configuration into the real system, followed by the validation at the beamline. This improvement avoids undesired behaviour in the hardware or in the mechanism when designing the controller. The bench, weighting 1.2 tons, is responsible by carrying a coil, weighting 1.8 tons, which objective is to apply a 3 T magnetic field to the sample that receives the beam provided by the electrons accelerator. The system identification method applied in this paper is based on the auto-regressive model with exogenous inputs (ARX). The standard servo control loop of the Omron Delta Tau Power Brick controller and the identified plant were simulated in Simulink in order find the control parameters. This paper shows the results and comparison of the simulations and the final validation of the hardware performance over the real system.

Poster TUPDP004 [0.720 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP004

About •

Received ※ 06 October 2023 — Accepted ※ 28 November 2023 — Issued ※ 17 December 2023

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)