Physics Project Abstract

ACTIVE NOISE CONTROL METHODS WITH PIEZOELECTRIC ACTUATION FOR THE SUPPRESSION OF VIBRATIONS IN SUPERCONDUCTING RADIOFREQUENCY CAVITIES

Presenter:

Frederick C. Hines, Illinois Mathematics and Science Academy, 1500 West Sullivan Road, Aurora, IL, 60506; fhines@imsa.edu

Mentors:

Mr. Ruben Carcagno, Fermi National Accelerator Laboratory, "TD/DT, Mail Stop 316", P.O. Box 500, Batavia, IL, 60510; 840-3915; 840-3915; ruben@fnal.gov

Dr. Don Edwards, Fermi National Accelerator Laboratory, PO BOX 500 Mail Station #306, Batavia, IL, 60510; 630-840-6389; 630-840-4552; edwards@fnal.gov

Dr. Helen Edwards, Fermi National Accelerator Laboratory/DESY, PO BOX 500 Mail Station #306, Batavia, IL, 60510; 630-840-4424; 630-840-4552; hedwards@fnal.gov

Abstract:

Modern particle accelerators often use superconducting radiofrequency (SCRF) cavities. These cavities are extremely sensitive to outside vibrations from sources such as pumps and compressors. Acoustic vibrations cause slight changes in the dimensions of thin-walled SCRF cavities, thus shifting their resonance frequencies and degrading the performance of the cavities. One approach to mitigate the performance degradation is to attempt active suppression of the vibrations acting on a SCRF cavity. Since the harmful vibrations are in the acoustic range, the same methods used for active noise suppression can be applied to this problem. For this approach to work, a fast-responding device capable of generating sufficient force to suppress the distortion of cavity dimensions is needed. Piezoelectric ceramic actuators can be used in such a way that the interaction between the background vibrations and the vibrations generated by the piezo element will cancel one another. This mentorship attempted to first characterize the vibrations in a prototype SCRF cavity and then develop a quickly responding algorithm based on active noise suppression principles that would drive the piezo element to suppress the vibrations. The presentation will include the experimental method for characterizing the vibrations and for the development of a noise suppression algorithm.