Minimization of Betatron Oscillations of Electron Beam Injected Into a Time-Varying Lattice via Extremum Seeking

We report on a beam-based experiment performed at the SPEAR3 storage ring of the Stanford Synchrotron Radiation Lightsource at the SLAC National Accelerator Laboratory, in which a model-independent extremum-seeking optimization algorithm was utilized to minimize betatron oscillations in the presence of a time-varying kicker magnetic field, by automatically tuning the pulsewidth, voltage, and delay of two other kicker magnets, and the current of two skew quadrupole magnets, simultaneously, in order to optimize injection kick matching. Adaptive tuning was performed on eight parameters simultaneously. The scheme was able to continuously maintain the match of a five-magnet lattice while the field strength of a kicker magnet was continuously varied at a rate much higher (±6% sinusoidal voltage change over 1.5 h) than typically experienced in operation. The ability to quickly tune or compensate for time variation of coupled components, as demonstrated here, is very important for the more general, more difficult problem of global accelerator tuning to quickly switch between various experimental setups.

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

[2]  Bruce E. Carlsten,et al.  Using an emittance exchanger as a bunch compressor , 2011 .

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

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

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

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

[7]  Xiaobiao Huang,et al.  Nonlinear dynamics optimization with particle swarm and genetic algorithms for SPEAR3 emittance upgrade , 2014 .

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

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

[10]  M. Krstic,et al.  PID tuning using extremum seeking: online, model-free performance optimization , 2006, IEEE Control Systems.

[11]  Miroslav Krstic,et al.  HCCI Engine Combustion-Timing Control: Optimizing Gains and Fuel Consumption Via Extremum Seeking , 2009, IEEE Transactions on Control Systems Technology.

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

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

[14]  J. Safranek,et al.  MACHINE BASED OPTIMIZATION USING GENETIC ALGORITHMS IN A STORAGE RING , 2014 .

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

[16]  Mamoru Akiyama,et al.  Optimization of wiggler magnets ordering using a genetic algorithm , 1992 .

[17]  Miroslav Krstic,et al.  Constrained extremum seeking in 1 dimension , 2014, 53rd IEEE Conference on Decision and Control.

[18]  M. Borland,et al.  Elegant : a flexible SDDS-compliant code for accelerator simulation. , 2000 .

[19]  Ian Martin,et al.  Multiobjective genetic algorithm optimization of the beam dynamics in linac drivers for free electron lasers , 2012 .

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

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

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

[23]  Juhao Wu,et al.  An algorithm for online optimization of accelerators , 2013 .

[24]  Xiaobiao Huang,et al.  Online optimization of storage ring nonlinear beam dynamics , 2015, 1502.07799.

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

[26]  Miroslav Krstic,et al.  Maximizing higher derivatives of unknown maps with extremum seeking , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

[27]  Eugenio Schuster,et al.  Extremum seeking adaptive control of beam envelope in particle accelerators , 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

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

[29]  S. Y. Lee,et al.  Accelerator Physics , 2019 .

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

[31]  A. Xiao,et al.  DIRECT METHODS OF OPTIMIZATION OF STORAGE RING DYNAMIC AND MOMENTUM APERTURE , 2010 .

[32]  D. Neuffer,et al.  EVOLUTIONARY ALGORITHM FOR THE NEUTRINO FACTORY FRONT END DESIGN , 2009 .

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

[34]  Yves Roblin,et al.  Innovative Applications of Genetic Algorithms to Problems in Accelerator Physics , 2013 .

[35]  Weiwei Gao,et al.  Simultaneous optimization of beam emittance and dynamic aperture for electron storage ring using genetic algorithm , 2011 .

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

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

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

[39]  David Robin,et al.  Global optimization of an accelerator lattice using multiobjective genetic algorithms , 2009 .

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

[41]  Alexander Scheinker,et al.  Model-independent particle accelerator tuning , 2013 .

[42]  Charles Sinclair,et al.  Multivariate optimization of a high brightness dc gun photoinjector , 2005 .

[43]  L. Emery Global Optimization of Damping Ring Designs Using A Multi-Objective Evolutionary Algorithm , 2005, Proceedings of the 2005 Particle Accelerator Conference.

[44]  H. Wiedemann Particle accelerator physics , 1993 .

[45]  Matthias Clausen,et al.  The Experimental Physics and Industrial Control System architecture: Past, present, and future , 1994 .

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

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

[48]  Qiaoqiao Wang,et al.  Extremum-seeking-based fluctuation mitigation by E×B actuation in HELCAT , 2011, 2011 IEEE International Conference on Control Applications (CCA).

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

[50]  Martin Reiser,et al.  Theory and Design of Charged Particle Beams , 1994 .

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

[52]  Martin Guay,et al.  A Perturbation-Based Proportional Integral Extremum-Seeking Control Approach , 2016, IEEE Transactions on Automatic Control.