Control of Cross-Directional Systems using the Generalised Singular Value Decomposition

TL;DR

This paper introduces a GSVD-based control method for cross-directional systems in accelerators, effectively decoupling complex multi-array systems and demonstrating real-world validation at Diamond Light Source.

Contribution

It presents a novel application of the generalized singular value decomposition for controlling multi-array cross-directional systems, extending traditional SVD methods.

Findings

Successfully decouples two-array systems into TISO and SISO components

Demonstrates robustness in ill-conditioned and non-orthogonal systems

Validated through real-world experiments at Diamond Light Source

Abstract

Diamond Light Source produces synchrotron radiation by accelerating electrons to relativistic speeds. In order to maximise the intensity of the radiation, vibrations of the electron beam are attenuated by a multi-input multi-output (MIMO) control system actuating hundreds of magnets at kilohertz rates. For future accelerator configurations, in which two separate arrays of magnets with different bandwidths are used in combination, standard accelerator control design methods based on the singular value decomposition (SVD) of the system gain matrix are not suitable. We therefore propose to use the generalised singular value decomposition (GSVD) to decouple a two-array cross-directional (CD) system into sets of two-input single-output (TISO) and single-input single-output (SISO) systems. We demonstrate that the two-array decomposition is linked to a single-array system, which is used to accommodate ill-conditioned systems and compensate for the non-orthogonality of the GSVD. The GSVD-based design is implemented and validated through real-world experiments at Diamond. Our approach provides a natural extension of single-array methods and has potential application in other CD systems, including paper making, steel rolling or battery manufacturing processes.