Speaker
Description
Stable and reproducible synchrotron beamline operation requires coordinated control of optical elements, beam diagnostics, and detector acquisition. Integrating these functions with model-assisted optimization requires consistent interfaces between hardware execution, experimental data, and operating decisions. To address these requirements, a beamline control system based on EPICS and MicroTCA.4 is proposed. The design combines modular motion control, low-current measurement, high-speed acquisition, and event timing with an EPICS/synApps software layer for device access and experiment coordination. Motor and detector interfaces are integrated with Bluesky/Mamba workflows to associate measurements with actual positions, exposure windows, and calibration states during step and continuous scans. Physics-based optical models and data-driven surrogates provide the basis for predicting beam position and flux responses, with measurement-based calibration and independent evaluation included in the development strategy. Model-predictive optimization is coupled with local feedback through bounded setpoint updates, command validation, and independent PLC interlocks. The architecture also provides interfaces for digital-twin applications. A staged validation strategy links subsystem tests to system-level objectives for synchronization, data completeness, beam stability, and tuning efficiency. The resulting design establishes an explicit connection between hardware capabilities, EPICS software functions, and model-assisted control, providing an engineering basis for coordinated and intelligent beamline operation.
