Intelligent Beam Control in Accelerators

Intelligent Beam Control in Accelerators

EnglishPaperback / softbackPrint on demand
Geng, Zheqiao
Springer, Berlin
EAN: 9783031285998
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Detailed information

This book systematically discusses the algorithms and principles for achieving stable and optimal beam (or products of the beam) parameters in particle accelerators. A four-layer beam control strategy is introduced to structure the subsystems related to beam controls, such as beam device control, beam feedback, and beam optimization. This book focuses on the global control and optimization layers. As a basis of global control, the beam feedback system regulates the beam parameters against disturbances and stabilizes them around the setpoints. The global optimization algorithms, such as the robust conjugate direction search algorithm, genetic algorithm, and particle swarm optimization algorithm, are at the top layer, determining the feedback setpoints for optimal beam qualities.


In addition, the authors also introduce the applications of machine learning for beam controls. Selected machine learning algorithms, such as supervised learning based on artificial neural networks and Gaussian processes, and reinforcement learning, are discussed. They are applied to configure feedback loops, accelerate global optimizations, and directly synthesize optimal controllers. Authors also demonstrate the effectiveness of these algorithms using either simulation or tests at the SwissFEL. With this book, the readers gain systematic knowledge of intelligent beam controls and learn the layered architecture guiding the design of practical beam control systems.

EAN 9783031285998
ISBN 3031285999
Binding Paperback / softback
Publisher Springer, Berlin
Publication date May 11, 2024
Pages 155
Language English
Dimensions 235 x 155
Country Switzerland
Authors Geng, Zheqiao; Simrock Stefan
Edition 2023 ed.
Series Particle Acceleration and Detection
Manufacturer information
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