138. AUTOMATING PARTICLE ACCELERATOR SUBSYSTEMS

Department: Mechanical & Aerospace Engineering
Research Institute Affiliation: Center for Control Systems and Dynamics (CCSD)
Faculty Advisor(s): Miroslav Krstic

Primary Student
Name: Gregory Matthew Mills
Email: g1mills@ucsd.edu
Phone: 858-534-5676
Grad Year: 2016

Abstract
Our research focuses on black-box optimization techniques for automated tuning and process maintenance of particle accelerator subsystems. We present results concerning automation of the ion source, where the particle beam is created. Automation of this subsystem directly results in a higher quality beam and allows the particle accelerator to be online more often.

Industry Application Area(s)
Control Systems | Electronics/Photonics | Software, Analytics

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Contact:   researchexpo@soe.ucsd.edu   (858) 534-6068