Research on Segmented Failure Compensation of Superconducting Section in Linear Accelerator by Artificial Intelligence Algorithm

Long-term stable operation is one of difficult and frontier topics in the field of high-current linear accelerators. In this article, taking the China initiative Accelerator Driven System(CiADS) accelerator as an example, of whose virtual model implemented with TraceWin software by using simulation data, a segmented failure compensation method of superconducting(SC) cavity by artificial intelligence algorithm has been proposed. The neighboring elements of the failure cavities are used to rematch the beam envelope, while all the downstream cavities are used to compensate the beam energy. Compared with traditional optimization methods, this research can realize the failure compensation of low energy SC section, and has the advantages of fast calculation speed and strong versatility. It provides new feasibility for the practical application of component failure compensation.