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@inproceedings{rossa:icalepcs2023-thpdp013, author = {L. Rossa and M. Brendike}, title = {{EPICS Integration for Rapid Control Prototyping Hardware from Speedgoat}}, % 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 = {1317--1321}, paper = {THPDP013}, language = {english}, keywords = {EPICS, hardware, controls, real-time, interface}, 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-THPDP013}, url = {https://jacow.org/icalepcs2023/papers/thpdp013.pdf}, abstract = {{To exploit the full potential of fourth generation Synchrotron Sources, new beamline instrumentation is increasingly developed with a mechatronics approach. [,,***] Implementing this approach raises the need for Rapid Control Prototyping (RCP) and Hardware-In-the-Loop (HIL) simulations. To integrate such RCP and HIL systems into every-day beamline operation we developed an interface from a Speedgoat real-time performance machine - programmable via MATLAB Simulink - to EPICS. The interface was developed to be simple to use and still flexible. The Simulink software developer uses dedicated Simulink-blocks to export model information and real-time data into structured UDP Ethernet frames. The corresponding EPICS IOC listens to the UDP frames and auto-generates a corresponding database file to fit the data-stream from the Simulink model. The EPICS IOC can run on either a beamline measurement PC or to keep things spatially close on a mini PC (such as a Raspberry Pi) attached to the Speedgoat machine. An overview of the interface idea, architecture and implementation, together with some simple examples will be presented. }}, }