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001     486587
005     20221207211350.0
024 7 _ |a inspire:697637
|2 inspire
024 7 _ |a 10.3204/PUBDB-2022-07373
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037 _ _ |a PUBDB-2022-07373
041 _ _ |a English
082 _ _ |a 530
088 _ _ |a DESY-TESLA-FEL-2005-08
|2 TESLA
100 1 _ |a Czarski, T.
|0 P:(DE-H253)PIP1006404
|b 0
245 _ _ |a Cavity parameters identification for TESLA control system development
260 _ _ |c 2005
300 _ _ |a 15
336 7 _ |a report
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336 7 _ |a REPORT
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336 7 _ |a TECHREPORT
|2 BibTeX
500 _ _ |a Beschleuniger
520 _ _ |a Aim of the control system development for TESLA cavity is a more efficient stabilization of the pulsed, accelerating EM field inside resonator. Cavity parameters identification is an essential task for the comprehensive control algorithm. TESLA cavity simulator has been successfully implemented using high-speed FPGA technology. Electromechanical model of the cavity resonator includes Lorentz force detuning and beam loading. The parameters identification is based on the electrical model of the cavity. The model is represented by state space equation for envelope of the cavity voltage driven by current generator and beam loading. For a given model structure, the over-determined matrix equation is created covering long enough measurement range with the solution according to the least-squares method. A low-degree polynomial approximation is applied to estimate the time-varying cavity detuning during the pulse. The measurement channel distortion is considered, leading to the external cavity model seen by the controller. The comprehensive algorithm of the cavity parameters identification was implemented in the Matlab system with different modes of operation. Some experimental results were presented for different cavity operational conditions. The following considerations have lead to the synthesis of the efficient algorithm for the cavity control system predicted for the potential FPGA technology implementation.
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588 _ _ |a Dataset connected to CrossRef, INSPIRE, Journals: bib-pubdb1.desy.de
650 _ 7 |a electron positron: linear collider
|2 INSPIRE
650 _ 7 |a linear collider: proposed
|2 INSPIRE
650 _ 7 |a cavity: superconductivity
|2 INSPIRE
650 _ 7 |a niobium
|2 INSPIRE
650 _ 7 |a cavity: control system
|2 INSPIRE
650 _ 7 |a expansion: wavelet
|2 INSPIRE
650 _ 7 |a DESY TESLA Linac
|2 INSPIRE
650 _ 7 |a 07.05.Dz
|2 autogen
650 _ 7 |a 29.50.+v
|2 autogen
650 _ 7 |a 07.50.-e
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650 _ 7 |a 29.17.+w
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650 _ 7 |a Superconducting cavity control
|2 autogen
650 _ 7 |a Model identification
|2 autogen
650 _ 7 |a System modeling and simulation
|2 autogen
693 _ _ |0 EXP:(DE-H253)TESLA-Test-Facility-20150101
|5 EXP:(DE-H253)TESLA-Test-Facility-20150101
|e TESLA-Test-Facility
|x 0
700 1 _ |a Pozniak, K. T.
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Romaniuk, Ryszard S.
|0 P:(DE-H253)PIP1006394
|b 2
700 1 _ |a Simrock, S.
|0 P:(DE-H253)PIP1000216
|b 3
787 0 _ |a Czarski, T. et.al.
|d Amsterdam : North-Holland Publ. Co., 2005
|i IsParent
|0 PUBDB-2017-08883
|r DESY-TESLA-FEL-2005-08
|t Cavity parameters identification for TESLA control system development
856 4 _ |y OpenAccess
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910 1 _ |a Deutsches Elektronen-Synchrotron
|0 I:(DE-588b)2008985-5
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913 1 _ |a DE-HGF
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