In this paper,the slow orbit feedback system of HLS,including the feedback principle,the hardware,the software and the main operation results,is briefly introduced.With the help of slow orbit feedback system,the verti...In this paper,the slow orbit feedback system of HLS,including the feedback principle,the hardware,the software and the main operation results,is briefly introduced.With the help of slow orbit feedback system,the vertical orbit stability of HLS is better than 30 microns,which meets the requirement of synchrotron radiation users and is comparable with the international advanced level of orbit stability in the same kind of machines.展开更多
研究反馈控制环节时滞对van der Pol振子张弛振荡的影响.首先,通过稳定性切换分析,得到了系统的慢变流形的稳定性和分岔点分布图,结果表明,当时滞大于某临界值时,系统慢变流形的结构发生本质的变化.其次,基于几何奇异摄动理论,分析了慢...研究反馈控制环节时滞对van der Pol振子张弛振荡的影响.首先,通过稳定性切换分析,得到了系统的慢变流形的稳定性和分岔点分布图,结果表明,当时滞大于某临界值时,系统慢变流形的结构发生本质的变化.其次,基于几何奇异摄动理论,分析了慢变流形附近解轨线的形状,发现时滞反馈会引起张弛振荡中的慢速运动过程中存在微幅振荡,其中微幅振荡来自于内部层引起的振荡和Hopf分岔产生的振荡两个方面;同时,时滞对张弛振荡的周期也具有显著的影响.实例分析表明理论分析结果与数值结果相吻合.展开更多
Details of the active ways to suppress Closed Orbit Distortion （COD）, including bending magnet sorting and survey and alignment of the magnets, are discussed based on the studies of affections to the COD by the bend...Details of the active ways to suppress Closed Orbit Distortion （COD）, including bending magnet sorting and survey and alignment of the magnets, are discussed based on the studies of affections to the COD by the bending magnet field error and the misalignment of quadrupoles. The closed orbit correction and the Slow Orbit Feed Back （SOFB） system for the SSRF storage ring are presented in this paper. With these available methods, better results were obtained during the commissioning period with 3 GeV beam energy.展开更多
Background:Long-term orbit stability is a key performance indicator in synchrotron radiation facilities and colliders nowa-days,in which the orbit correction and corresponding slow orbit feedback system are indispensa...Background:Long-term orbit stability is a key performance indicator in synchrotron radiation facilities and colliders nowa-days,in which the orbit correction and corresponding slow orbit feedback system are indispensable.Conventional method of orbit correction uses response matrix based on SVD algorithm,which becomes less effective after a long operation due to the fact that response matrix measurements cannot be taken during normal operation.Purpose:The purpose of this paper is to integrate machine learning model into the slow orbit feedback process and to automatically update the model online to better correct the orbit shifts.Methods:In this paper,we propose a method for slow orbit feedback of storage ring based on machine learning.Training the neural networks by using online data sets,which can establish the mapping relation between BPMs and correctors,and being updated automatically,without using extra time to remeasure the response matrix.Results:The experiments in this paper are all conducted and verified in the upgrading project of Beijing Electron-Positron Collider.By the way of learning automatically,the updated neutral network is closer to the real machine model,and the orbit after correction shows a smaller fluctuation relative to the golden orbit.Conclusion:Using the online data sets which reflect the response of orbit to correctors in real time to update the neural network can increase the orbit stability.展开更多
Background Most of the global orbit feedback algorithms in storage rings are based on response matrix(RM)singular value decomposition method.Commonly,the RM is the orbit distortion along the ring responding to the ste...Background Most of the global orbit feedback algorithms in storage rings are based on response matrix(RM)singular value decomposition method.Commonly,the RM is the orbit distortion along the ring responding to the steering magnet changes.For those methods RF frequency feedback is in a separated process.Methods and Results In this paper,the response matrix is expanded to the orbit distortion caused by the RF frequency variation.With this expanded RM,the orbit correction via steering magnet changes and RF frequency adjustment can be accomplished in one step.The commissioning results are carried out showing that the algorithm works stably.展开更多
文摘In this paper,the slow orbit feedback system of HLS,including the feedback principle,the hardware,the software and the main operation results,is briefly introduced.With the help of slow orbit feedback system,the vertical orbit stability of HLS is better than 30 microns,which meets the requirement of synchrotron radiation users and is comparable with the international advanced level of orbit stability in the same kind of machines.
文摘研究反馈控制环节时滞对van der Pol振子张弛振荡的影响.首先,通过稳定性切换分析,得到了系统的慢变流形的稳定性和分岔点分布图,结果表明,当时滞大于某临界值时,系统慢变流形的结构发生本质的变化.其次,基于几何奇异摄动理论,分析了慢变流形附近解轨线的形状,发现时滞反馈会引起张弛振荡中的慢速运动过程中存在微幅振荡,其中微幅振荡来自于内部层引起的振荡和Hopf分岔产生的振荡两个方面;同时,时滞对张弛振荡的周期也具有显著的影响.实例分析表明理论分析结果与数值结果相吻合.
文摘Details of the active ways to suppress Closed Orbit Distortion （COD）, including bending magnet sorting and survey and alignment of the magnets, are discussed based on the studies of affections to the COD by the bending magnet field error and the misalignment of quadrupoles. The closed orbit correction and the Slow Orbit Feed Back （SOFB） system for the SSRF storage ring are presented in this paper. With these available methods, better results were obtained during the commissioning period with 3 GeV beam energy.
文摘Background:Long-term orbit stability is a key performance indicator in synchrotron radiation facilities and colliders nowa-days,in which the orbit correction and corresponding slow orbit feedback system are indispensable.Conventional method of orbit correction uses response matrix based on SVD algorithm,which becomes less effective after a long operation due to the fact that response matrix measurements cannot be taken during normal operation.Purpose:The purpose of this paper is to integrate machine learning model into the slow orbit feedback process and to automatically update the model online to better correct the orbit shifts.Methods:In this paper,we propose a method for slow orbit feedback of storage ring based on machine learning.Training the neural networks by using online data sets,which can establish the mapping relation between BPMs and correctors,and being updated automatically,without using extra time to remeasure the response matrix.Results:The experiments in this paper are all conducted and verified in the upgrading project of Beijing Electron-Positron Collider.By the way of learning automatically,the updated neutral network is closer to the real machine model,and the orbit after correction shows a smaller fluctuation relative to the golden orbit.Conclusion:Using the online data sets which reflect the response of orbit to correctors in real time to update the neural network can increase the orbit stability.
基金supported by the National Natural Science Foundation of China(No.11975298).
文摘Background Most of the global orbit feedback algorithms in storage rings are based on response matrix(RM)singular value decomposition method.Commonly,the RM is the orbit distortion along the ring responding to the steering magnet changes.For those methods RF frequency feedback is in a separated process.Methods and Results In this paper,the response matrix is expanded to the orbit distortion caused by the RF frequency variation.With this expanded RM,the orbit correction via steering magnet changes and RF frequency adjustment can be accomplished in one step.The commissioning results are carried out showing that the algorithm works stably.
