JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
@inproceedings{furtado:icalepcs2023-tupdp004,
author = {J.P.S. Furtado and I.E. Santos and T.R. Silva Soares},
title = {{System Identification via ARX Model and Control Design for a Granite Bench at Sirius/LNLS}},
% booktitle = {Proc. ICALEPCS'23},
booktitle = {Proc. 19th Int. Conf. Accel. Large Exp. Phys. Control Syst. (ICALEPCS'23)},
eventdate = {2023-10-09/2023-10-13},
pages = {479--484},
paper = {TUPDP004},
language = {english},
keywords = {controls, experiment, simulation, feedback, acceleration},
venue = {Cape Town, South Africa},
series = {International Conference on Accelerator and Large Experimental Physics Control Systems},
number = {19},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {02},
year = {2024},
issn = {2226-0358},
isbn = {978-3-95450-238-7},
doi = {10.18429/JACoW-ICALEPCS2023-TUPDP004},
url = {https://jacow.org/icalepcs2023/papers/tupdp004.pdf},
abstract = {{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. }},
}