Reducing the magnet switching time for AMS at PRIME lab

被引:4
作者
Perry, M [1 ]
Elmore, D [1 ]
Rickey, F [1 ]
Bhukhanwala, B [1 ]
Chong, E [1 ]
机构
[1] PURDUE UNIV,DEPT ELECT ENGN,W LAFAYETTE,IN 47907
关键词
D O I
10.1016/S0168-583X(96)00719-7
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
At the Purdue Rare Isotope Measurement Laboratory, we are cycling magnets to obtain isotope ratios. Minimizing cycle time increases the precision of those measurements. The magnet change time is a significant fraction of the total cycle time since the magnets must be steady to within a few hundred ppm before measurements can begin. PRIME Lab's goal was to obtain isotope ratios to a precision of 1% or better given sufficient counting statistics. A conventional PID controller was implemented, This reduced the magnet switching time for the injector magnet by approximately 50% and the analyzer magnet by approximately 10%. A dual controller was then implemented. The dual controller consists of an optimization algorithm, called the settling-time optimizer, and a fuzzy logic controller The settling-time optimizer reduces the settling-time with every cycle based on the history of previous cycles and the fuzzy logic controller compensates for any disturbances in the system. This controller gave a much better performance by reducing the switching times for both magnets by approximately 75%.
引用
收藏
页码:178 / 182
页数:5
相关论文
共 9 条
[1]  
Bhukhanwala B, 1995, PROCEEDINGS OF THE 34TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, P1726, DOI 10.1109/CDC.1995.480389
[2]  
BHUKHANWALA BM, 1994, THESIS PURDUE U
[3]  
*DIG EQ CORP, 1993, INTRO VAXELN
[4]  
*DIG EQ CORP, 1990, MICROVAX 3400 TECHN
[5]   FUZZY-LOGIC IN CONTROL-SYSTEMS - FUZZY-LOGIC CONTROLLER .1. [J].
LEE, CC .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1990, 20 (02) :404-418
[6]  
Luenberger D.G, Linear and Nonlinear Programming
[7]   HANDLING THE EFFECTS OF EDDY CURRENTS IN CELSIUS [J].
NORMAN, G ;
REISTAD, D .
IEEE TRANSACTIONS ON MAGNETICS, 1988, 24 (02) :962-965
[8]  
WELLSTEAD PE, SELF TANING SYSTEMS
[9]  
Zimmerman HJ, 1991, FUZZY SET THEORY ITS