16 September 2016 Advanced controls for light sources
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We present a summary of our team’s recent efforts in developing adaptive, artificial intelligence-inspired techniques specifically to address several control challenges that arise in machines/systems including those in particle accelerator systems. These techniques can readily be adapted to other systems such as lasers, beamline optics, etc… We are not at all suggesting that we create an autonomous system, but create a system with an intelligent control system, that can continually use operational data to improve itself and combines both traditional and advanced techniques. We believe that the system performance and reliability can be increased based on our findings. Another related point is that the controls sub-system of an overall system is usually not the heart of the system architecture or design process. More bluntly, often times all of the peripheral systems are considered as secondary to the main system components in the architecture design process because it is assumed that the controls system will be able to “fix” challenges found later with the sub-systems for overall system operation. We will show that this is not always the case and that it took an intelligent control application to overcome a sub-system’s challenges. We will provide a recent example of such a “fix” with a standard controller and with an artificial intelligence-inspired controller. A final related point to be covered is that of system adaptation for requirements not original to a system’s original design.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. G. Biedron, S. G. Biedron, A. L. Edelen, A. L. Edelen, S. V. Milton, S. V. Milton, } "Advanced controls for light sources", Proc. SPIE 9964, Advances in Laboratory-based X-Ray Sources, Optics, and Applications V, 996404 (16 September 2016); doi: 10.1117/12.2242937; https://doi.org/10.1117/12.2242937


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