energy modulation in linac 4: some preliminary results
DESCRIPTION
Energy Modulation in Linac 4: Some Preliminary Results. Anirban Krishna Bhattacharyya , Philippe Baudrenghien CERN-BE-RF-FB . Reported by Anirban Krishna Bhattacharyya CERN-BE-RF-FB. The Klystron Model. Klystron Transfer Function. Experimental Setup. - PowerPoint PPT PresentationTRANSCRIPT
Energy Modulation in Linac 4: Some Preliminary Results
Reported by Anirban Krishna Bhattacharyya CERN-BE-RF-FB
Anirban Krishna Bhattacharyya, Philippe Baudrenghien CERN-BE-RF-FB
The Klystron Model
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Modulation in LINAC 4
Klystron Transfer Function
Done at reduced power. Maximum power output from klystron 100 KW
Experimental Setup
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Modulation in LINAC 4
Klystron Transfer Function
ExperimentalData
Transfer functionequation
Number of poles
Number of zeros
+-
OptimizerNormerror
Algorithm:
Input is only the expected number of poles and zeros
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Modulation in LINAC 4
Klystron Transfer Function
Transfer function in RFTransfer function
Error: 10%
Number of poles: 14Number of zeros: 18
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Modulation in LINAC 4
Klystron Transfer FunctionTransfer function in IQHs(jω) = 1
2H(jω+jω0) + H(jω-jω0) Hc(jω) =-12jH(jω-jω0) - H(jω+jω0)
ω0 = 352.2 MHz
Transfer function from II/QQ Transfer function from IQ/QI
Error: 18%Error: 4%Number of poles: 12Number of zeros: 17
Number of poles: 22Number of zeros: 22
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Modulation in LINAC 4
Klystron Gain ModulationThe gain modulation of the Klystron with respect to the input power has to be scaled so that the characteristics remain same but the Klystron saturates for an input of 0 dBm.
Method for scaling:
Find point (Ρi,Gi) where Klystron saturates from experimental data.
Let saturation limit of klystron be Psat.ÞGain at saturation has to be 10log10(Psat /1 mW ).ÞGains from experiments are scaled such that Gi = 10log10(Psat /1 mW ).ÞUsing Z0=50Ω find voltage for Klystron saturation Voutsat=√(2PsatZ0).ÞVinsat=Voutsat/10(Gi/20).ÞScale x-axis such that Pi is equal to Vinsat.
Experimental data
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Modulation in LINAC 4
Closed loop simulation
Klystron Simulation Model
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Modulation in LINAC 4
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Modulation in LINAC 4
Klystron Tuner Loop
Model/Simulation Parameters
ZTT = 23.1 MΩL = 1.3 mQL = 7100Q0 = 17000Φ = -20°Z0 = 50 Ω
Beam coupling = ZTT * L * QL
Q0
Cavity Gain = QL
Q0
√((Q0-QL)*2*ZTT*L)√(QL*Z0)
Triangular output voltage in the cavity 1 with Vmin = 4.08 MV and Vmax = 5.36 MVTriangular phase modulation in cavity 12 with swing from -81.45° to 81.45° and voltage of 0.7 MV ± 25%.Time periods: 20 μsec and 40 μsec.
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Modulation in LINAC 4
PIMS 11/12
ZTT = 23.1 MΩL = 1.55 mQL = 6000/8000/1200Q0 = 19227Φ = -20°Z0 = 50 Ω
Debunching
Results
Gain characteristics for Psat=1.1 MW
Gain characteristics for Psat=1.3 MW
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Modulation in LINAC 4
Results: Voltage Modulation Beam current: 40 mA Saturation power: 1.1 MW (10.488 kV)
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Modulation in LINAC 4
Results: Voltage Modulation Beam current: 20 mA Saturation power: 1.1 MW (10.488 kV)
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Modulation in LINAC 4
Results: Voltage Modulation Beam current: 40 mA Saturation power: 1.3 MW (11.402 kV)
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Modulation in LINAC 4
Results: Voltage Modulation Beam current: 20 mA Saturation power: 1.3 MW (11.402 kV)
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Modulation in LINAC 4
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Results: Debuncher Beam current: 40 mA Saturation power: 1.1 MW (10.488 kV) Q = 6000
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Results: Debuncher
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Results: Debuncher Beam current: 40 mA Saturation power: 1.1 MW (10.488 kV) Q = 8000
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Results: Debuncher
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Results: Debuncher Beam current: 40 mA Saturation power: 1.1 MW (10.488 kV) Q = 12000
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Results: Debuncher
Simplifications made No delay in the loop (in reality there is a total loop
delay of 1100 ns) Cavity model has single peak in frequency response Cavities on tune for PIMS and detuned for Debuncher
These simplifications allow the controller gain to be pushed so that effective control can be obtained.However this is not real and hence will call for some sophisticated control strategy.
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Modulation in LINAC 4
Scopes of improvement Large error in Klystron transfer function estimation (18%), in
spite of quite a large number of poles and zeros. Hence, use of fractional order systems, proposed as virtually an infinite number of poles and zeros can be tackled with a finite number of parameters.
Inclusion of delays in the loop, and tuning of PID controller to achieve optimal performance.
Inclusion of noise model from HV power supply. Inclusion of observer in feed back loop to reduce noise. Design and comparison of various predictive schemes for
control The non-linearity in the system provides opportunity to design
and implement non-linear control strategies.
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Modulation in LINAC 4
Thank You
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Modulation in LINAC 4