Application of Extremum Seeking for Time-Varying Systems to Resonance Control of RF Cavities

A recently developed form of extremum seeking for time-varying systems is implemented in hardware for the resonance control of radio-frequency cavities without phase measurements. Normal conducting RF cavity resonance control is performed via a slug tuner, while superconducting TESLA-type cavity resonance control is performed via piezo actuators. The controller maintains resonance by minimizing reflected power by utilizing model-independent adaptive feedback. Unlike standard phase-measurement-based resonance control, the presented approach is not sensitive to arbitrary phase shifts of the RF signals due to temperature-dependent cable length or phasemeasurement hardware changes. The phase independence of this method removes common slowly varying drifts and required periodic recalibration of phase-based methods. A general overview of the adaptive controller is presented along with the proof of principle experimental results at room temperature. This method allows us to both maintain a cavity at a desired resonance frequency and also to dynamically modify its resonance frequency to track the unknown time-varying frequency of an RF source, thereby maintaining maximal cavity field strength, based only on power-level measurements.

[1]  Miroslav Krstic,et al.  Minimum-Seeking for CLFs: Universal Semiglobally Stabilizing Feedback Under Unknown Control Directions , 2013, IEEE Transactions on Automatic Control.

[2]  Mario A. Rotea,et al.  Analysis of multivariable extremum seeking algorithms , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

[3]  M. Liepe,et al.  Dynamic Lorentz force compensation with a fast piezoelectric tuner , 2001, PACS2001. Proceedings of the 2001 Particle Accelerator Conference (Cat. No.01CH37268).

[4]  M. Grecki,et al.  COMPENSATION OF LORENTZ FORCE DETUNING FOR SC LINACS ( WITH PIEZO TUNERS ) , 2008 .

[5]  Robert Weigel,et al.  Microwave electronics , 2003 .

[6]  R. Varian,et al.  A High Frequency Oscillator and Amplifier , 1939 .

[7]  Ying Tan,et al.  A non-gradient approach to global extremum seeking: An adaptation of the Shubert algorithm , 2013, Autom..

[8]  Miroslav Krstic,et al.  Multivariable Newton-based extremum seeking , 2011, IEEE Conference on Decision and Control and European Control Conference.

[9]  R. King,et al.  Extensions of adaptive slope-seeking for active flow control , 2008 .

[10]  A. Astolfi,et al.  A new extremum seeking technique and its application to maximize RF heating on FTU , 2009 .

[11]  Alexander Scheinker,et al.  Bounded extremum seeking with discontinuous dithers , 2016, Autom..

[12]  Miroslav Krstic,et al.  Stability of extremum seeking feedback for general nonlinear dynamic systems , 2000, Autom..

[13]  M. Guay,et al.  ADAPTIVE EXTREMUM SEEKING CONTROL OF NONLINEAR DYNAMIC SYSTEMS WITH PARAMETRIC UNCERTAINTIES , 2002 .

[14]  Yaoyu Li,et al.  Maximizing Wind Turbine Energy Capture Using Multivariable Extremum Seeking Control , 2009 .

[15]  A study of dynamic Lorentz force detuning of 650 MHz βg=0.9 superconducting radiofrequency cavity , 2013, 1308.4532.

[16]  Yaoyu Li,et al.  Extremum seeking control of a tunable thermoacoustic cooler , 2005, IEEE Transactions on Control Systems Technology.

[17]  Martin Guay,et al.  A time-varying extremum-seeking control approach for discrete-time systems , 2014 .

[18]  Miroslav Krstic,et al.  Non-C2 Lie Bracket Averaging for Nonsmooth Extremum Seekers , 2014 .

[19]  Miroslav Krstic,et al.  Source Seeking for Two Nonholonomic Models of Fish Locomotion , 2009, IEEE Transactions on Robotics.

[20]  S. N. Simrock Lorentz Force Compensation of Pulsed SRF Cavities , 2002 .

[21]  Miroslav Krstic,et al.  MHD channel flow control in 2D: Mixing enhancement by boundary feedback , 2008, Autom..

[22]  Ying Tan,et al.  On non-local stability properties of extremum seeking control , 2006, Autom..

[23]  Valeri Ayvazyan,et al.  Dynamic Lorentz Force Detuning Studies in TESLA Cavities , 2003 .

[24]  Miroslav Krstic,et al.  Extremum Seeking-Based Optimization of High Voltage Converter Modulator Rise-Time , 2014, IEEE Transactions on Control Systems Technology.

[25]  I. Mareels,et al.  Extremum seeking from 1922 to 2010 , 2010, Proceedings of the 29th Chinese Control Conference.

[26]  Anna G. Stefanopoulou,et al.  Extremum seeking control for soft landing of an electromechanical valve actuator , 2004, Autom..

[27]  Thomas P. Wangler,et al.  RF linear accelerators , 2008 .

[28]  Alexander Scheinker,et al.  Adaptive method for electron bunch profile prediction , 2015 .

[29]  Cosku Kasnakoglu,et al.  Extremum-Seeking Control of Subsonic Cavity Flow , 2008 .

[30]  Miroslav Krstic,et al.  Power Optimization for Photovoltaic Microconverters Using Multivariable Newton-Based Extremum Seeking , 2012, IEEE Transactions on Control Systems Technology.

[31]  E. al.,et al.  Superconducting TESLA cavities , 2000, physics/0003011.

[32]  Miroslav Krstic,et al.  Newton-based stochastic extremum seeking , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[33]  H. Padamsee,et al.  RF superconductivity for accelerators , 1998 .

[34]  Jeffrey S. Kolski,et al.  In-hardware demonstration of model-independent adaptive tuning of noisy systems with arbitrary phase drift , 2014 .

[35]  Miroslav Krstic,et al.  Extremum seeking with bounded update rates , 2014, Syst. Control. Lett..