ICALEPCS2023 - List of Authors (Karlsson, M.)

Paper	Title	Page
MO3AO02	Implementation of Model Predictive Control for Slow Orbit Feedback Control in MAX IV Accelerators Using PyTango Framework	116
	C. Takahashi, J. Breunlin, Á. Freitas, M. Sjöström MAX IV Laboratory, Lund University, Lund, Sweden P. Giselsson, E. Jensen Gassheld, M. Karlsson Lund University, Lund, Sweden
	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.
	Slides MO3AO02 [4.234 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO3AO02
About •	Received ※ 05 October 2023 — Revised ※ 09 October 2023 — Accepted ※ 14 November 2023 — Issued ※ 19 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Implementation of Model Predictive Control for Slow Orbit Feedback Control in MAX IV Accelerators Using PyTango Framework

116

C. Takahashi, J. Breunlin, Á. Freitas, M. Sjöström
MAX IV Laboratory, Lund University, Lund, Sweden
P. Giselsson, E. Jensen Gassheld, M. Karlsson
Lund University, Lund, Sweden

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.

Slides MO3AO02 [4.234 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO3AO02

About •

Received ※ 05 October 2023 — Revised ※ 09 October 2023 — Accepted ※ 14 November 2023 — Issued ※ 19 December 2023

Cite •

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