RF System Models

Simrock, Stefan; Zhang, Geng

doi:10.1007/978-3-030-94419-3_3

Cited by 1 publication

(4 citation statements)

References 14 publications

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“…Superconducting cavities can be a single cell or multiple cells, depending upon the accelerator design and applications. We used a standard cavity model for the simulations, available in the literature [28][29][30]. The parallel RLC circuit cavity model coupled to an RF source via an input coupler is the basis for analyzing multicell cavities and their properties [28].…”

Section: Cavity Modelmentioning

confidence: 99%

“…The phasor Laplace transform can be used to analyze this model due to complex impedances of RLC circuit. The impedances of inductor and capacitor in the RLC model and their transformation from the s to the ŝ domain are presented in Table 2, where the carrier frequency is equal to the input radio frequency [30]. The cavity's phasor transfer function G c (ŝ) is given by…”

Section: Cavity Parameter Symbol Relation With Circuit Parametermentioning

confidence: 99%

“…Considering slow variations in the RF signal envelop and ∆w << w o [30], Equation (3) can be simplified as…”

Section: Cavity Parameter Symbol Relation With Circuit Parametermentioning

confidence: 99%

“…Since, in the absence of disturbance, the system is tracking well, the reference input in the steady state, G r , is approximately equal to one; therefore, [1 − G r (z)](0.1r i ) would not contribute much to the error in each iteration and its effect is also reduced by the G d (z)(0.1d i ) term, which is verified by the results presented in Section 3. In recursive error Equation (30), the dominant term is [0.9 − G f (z)L(z)]. The smaller the magnitude of this term, the faster the convergence of the learning scheme, as the tracking error in each iteration will be reduced.…”

Section: Modified Learning-based Dob For Field Control Problemmentioning

confidence: 99%

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Performance Analysis of Learning-Based Disturbance Observer for Pulsed Superconducting Cavity Field Control

Toor

Ashraf

2023

Electronics

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The use of Disturbance Observer-based (DOB) control is widespread in stabilizing the electromagnetic field in superconducting radio frequency cavities to facilitate beam acceleration in particle accelerators. Repetitive disturbances such as beam loading and Lorentz force cavity detuning are compensated by DOB control, and their suppression is enhanced through the incorporation of a learning scheme into the conventional disturbance observer. This paper evaluated the performance of a learning-based disturbance observer for compensating beam loading and cavity detuning in pulsed superconducting radio frequency cavities and proposes modifications for better field stability. A superconducting cavity baseband model for π-mode was simulated in Matlab/Simulink with a trapezoidal beam pulse as the input disturbance and different cavity detuning values to analyze the controllers’ performance. The simulations were conducted for multiple observer filter bandwidths to evaluate the performance of the learning-based disturbance observer under plant model uncertainties and different detuning values. The results demonstrate that the learning-based disturbance observer yields faster convergence to the reference input and lower tracking errors during the flat top of pulse voltage in comparison to conventional disturbance observer control.

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Section: Cavity Modelmentioning

confidence: 99%

Section: Cavity Parameter Symbol Relation With Circuit Parametermentioning

confidence: 99%

“…Considering slow variations in the RF signal envelop and ∆w << w o [30], Equation (3) can be simplified as…”

Section: Cavity Parameter Symbol Relation With Circuit Parametermentioning

confidence: 99%

Section: Modified Learning-based Dob For Field Control Problemmentioning

confidence: 99%

See 2 more Smart Citations