Artifical intelligence techniques for tuning linear induction accelerators
We developed an expert system that acts as an intelligent assistant for tuning particle beam generators called MAESTRO, Model and Expert System Resource for Operators. MAESTRO maintains a knowledge base of the accelerator containing not only the interconnections of the beamline components, but also their physical attributes such as measured magnetic tilts, offsets, and field profiles. MAESTRO incorporates particle trajectory and beam envelope models which are coupled to the knowledge base permitting large numbers of real-time orbit and envelope calculations in the control-room environment. To date we have used this capability in three ways: First, to implement a tuning algorithm for minimizing transverse beam motion. Second, to produce a beam waist with arbitrary radius at the entrance to a brightness diagnostic. And finally, to measure beam energy along the accelerator by fitting orbits to focusing and steering sweeps.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- Department of Defense, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 645319
- Report Number(s):
- UCRL-JC-105674; CONF-910505-; ON: DE98052024; CNN: SDIO/SDC MIPR No. W43-GBL-0-5007
- Resource Relation:
- Conference: 1991 Institute of Electrical and Electronics Engineers (IEEE) particle accelerator conference (PAC), San Francisco, CA (United States), 6-11 May 1991; Other Information: PBD: 1 May 1991
- Country of Publication:
- United States
- Language:
- English
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MAESTRO -- A Model and Expert System Tuning Resource for Operators