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{takahashi:icalepcs2023-mo3ao02,
author = {C. Takahashi and J. Breunlin and Á. Freitas and P. Giselsson and E. Jensen Gassheld and M. Karlsson and M. Sjöström},
% author = {C. Takahashi and J. Breunlin and Á. Freitas and P. Giselsson and E. Jensen Gassheld and M. Karlsson and others},
% author = {C. Takahashi and others},
title = {{Implementation of Model Predictive Control for Slow Orbit Feedback Control in MAX IV Accelerators Using PyTango Framework}},
% 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 = {116--122},
paper = {MO3AO02},
language = {english},
keywords = {controls, feedback, TANGO, operation, storage-ring},
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-MO3AO02},
url = {https://jacow.org/icalepcs2023/papers/mo3ao02.pdf},
abstract = {{Achieving low emittance and high brightness in modern light sources requires stable beams, which are commonly achieved through feedback solutions. The MAX IV light source has two feedback systems, Fast Orbit Feedback (FOFB) and Slow Orbit Feedback (SOFB), operating in overlapping frequency regions. Currently in MAX IV, a general feedback device implemented in PyTango is used for slow orbit and trajectory correction, but an MPC controller for the beam orbit has been proposed to improve system robustness. The controller uses iterative optimisation of the system model, current measurements, dynamic states and system constraints to calculate changes in the controlled variables. The new device implements the MPC model according to the beam orbit response matrix, subscribes to change events on all beam position attributes and updates the control signal given to the slow magnets with a 10 Hz rate. This project aims to improve system robustness and reduce actuator saturation. The use of PyTango simplifies the implementation of the MPC controller by allowing access to high-level optimisation and control packages. This project will contribute to the development of a high-quality feedback control system for MAX IV accelerators. }},
}