MAESTRO -- A Model and Expert System Tuning Resource for Operators
We have developed MAESTRO, a Model And Expert System Tuning Resource for Operators. It provides a unified software environment for optimizing the performance of large, complex machines, in particular the Advanced Test Accelerator and Experimental Test Accelerator at Lawrence Livermore National Laboratory. The system incorporates three approaches to tuning: a mouse-based manual interface to select and control magnets and to view displays of machine performance; an automation based on cloning the operator'' by implementing the strategies and reasoning used by the operator; an automation based on a simulator model which, when accurately matched to the machine, allows downloading of optimal sets of parameters and permits diagnosing errors in the beamline. The latter two approaches are based on the Artificial Intelligence technique known as Expert Systems. 4 refs., 4 figs.
- Research Organization:
- Lawrence Livermore National Lab., CA (USA)
- Sponsoring Organization:
- USDOD; DOE/DP
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 5088337
- Report Number(s):
- UCRL-102060; CONF-891094-13; ON: DE90006775; CNN: W43-GBL-D-5007; TRN: 90-007114
- Resource Relation:
- Conference: International conference on accelerator and large experimental physics control systems, Vancouver (Canada), 30 Oct - 3 Nov 1989
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
ACCELERATORS
PERFORMANCE TESTING
EXPERT SYSTEMS
DESIGN
TUNING
OPTIMIZATION
ACCURACY
AUTOMATION
COMPUTERIZED SIMULATION
DATA PROCESSING
DISPLAY DEVICES
IMAGE PROCESSING
IMPLEMENTATION
M CODES
MAN-MACHINE SYSTEMS
PLANNING
COMPUTER CODES
COMPUTER OUTPUT DEVICES
COMPUTER-GRAPHICS DEVICES
PROCESSING
SIMULATION
TESTING
430303* - Particle Accelerators- Experimental Facilities & Equipment
990200 - Mathematics & Computers