arXivDaily arXiv每日学术速递 周一至周五更新
arXiv physics/0008161physics.acc-ph
收藏

SNS超导腔建模-迭代学习控制

SNS Superconducting Cavity Modeling -Iterative Learning Control

Sung-il Kwon, Yi-Ming Wang, Amy Regan, Tony Rohlev, Mark Prokop, Dave Thomson

摘要:

SNS SRF系统使用脉冲束操作。为了使SRF系统跟踪重复参考轨迹,设计了一个反馈和一个前馈控制器。反馈控制器的作用是保证闭环系统的稳定性,前馈控制器的作用是提高系统对重复参考轨迹的跟踪性能和抑制重复干扰。随着迭代次数的增加,误差减小。

英文摘要:

The SNS SRF system is operated with a pulsed beam. For the SRF system to track the repetitive reference trajectory, a feedback and a feedforward controllers has been proposed. The feedback controller is to guarantee the closed loop system stability and the feedforward controller is to improve the tracking performance for the repetitive reference trajectory and to suppress the repetitive disturbance. As the iteration number increases, the error decreases.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑