To optimize the efficiency of the linear compressor,its operating frequency must be controlled equal to the system resonant frequency.The traditional resonant frequency tracking control algorithm relies on the steady ...To optimize the efficiency of the linear compressor,its operating frequency must be controlled equal to the system resonant frequency.The traditional resonant frequency tracking control algorithm relies on the steady state characteristics of the system,which suffers from slow convergence speed,low accuracy and slow system response.In order to solve these problems,a novel resonant frequency tracking control for linear compressor based on model reference adaptive system(MRAS)is proposed in this paper,and the parameter adaptive rate is derived by the Popov's hyperstability theory,so that the system resonant frequency can be directly calculated through the parameter adaptive rate.Furthermore,the traditional algorithm needs to calculate the piston stroke signal by integrating the back-EMF,which has the problem of integral drift.The algorithm proposed in this paper only needs the velocity signal,and the accuracy of the velocity calculation can be ensured by utilizing the self-adaptive band-pass filter(SABPF),thereby greatly improving the accuracy of the resonance frequency calculation.Simulation results verify the effectiveness of the proposed algorithm.展开更多
Objective The China Spallation Neutron Source(CSNS)linac is designed with beam energy of 80 MeV and a peak current of 15 mA in the first phase.It consists of RFQ,two bunchers of medium-energy beam transmission line,fo...Objective The China Spallation Neutron Source(CSNS)linac is designed with beam energy of 80 MeV and a peak current of 15 mA in the first phase.It consists of RFQ,two bunchers of medium-energy beam transmission line,four DTL tanks and one debuncher of linac-to-ring beam transmission line.Correspondingly,eight online RF power sources are used to power these accelerators.In order to stabilize the amplitude,phase and resonant frequency of the RF accelerating field,and minimize beam loss,we have established digital low-level RF(LLRF)control system.Methods The LLRF system includes RF reference line,analog module(AM),clock distribution module,digital control module(DCM),high-power protection module,timing and RF interlock module and so on.The DCM is mainly responsible for the stability of the RF field amplitude and phase,and RF interlock module can quickly cut off the RF drive in case of arc in the RF transmission system,VSWR over threshold or cavity vacuum fault and so on.Result During beam commissioning,all of eight online units of LLRF control system were operating stably and reliably.The amplitude and phase variations of the linac fields have been achieved about±0.4%and±0.15°with 10-mA beam loading,much better than the design requirements of±1%in amplitude and±1°in phase.Conclusion With the help of this system,we achieved stable operation under different beam loads.Also,many important progresses have been achieved in the LLRF control system for amore convenient operation and a higher stability performance.This article describes the design and implementation of the LLRF for CSNS linac.展开更多
基金supported in part by the National Natural Science Foundation of China under Grants 51877093 and 51707079in part by the National Key Research and Development Program of China under Grant 2018YFE0100200in part by the Key Technical Innovation Program of Hubei Province under Grant 2019AAA026.
文摘To optimize the efficiency of the linear compressor,its operating frequency must be controlled equal to the system resonant frequency.The traditional resonant frequency tracking control algorithm relies on the steady state characteristics of the system,which suffers from slow convergence speed,low accuracy and slow system response.In order to solve these problems,a novel resonant frequency tracking control for linear compressor based on model reference adaptive system(MRAS)is proposed in this paper,and the parameter adaptive rate is derived by the Popov's hyperstability theory,so that the system resonant frequency can be directly calculated through the parameter adaptive rate.Furthermore,the traditional algorithm needs to calculate the piston stroke signal by integrating the back-EMF,which has the problem of integral drift.The algorithm proposed in this paper only needs the velocity signal,and the accuracy of the velocity calculation can be ensured by utilizing the self-adaptive band-pass filter(SABPF),thereby greatly improving the accuracy of the resonance frequency calculation.Simulation results verify the effectiveness of the proposed algorithm.
基金The authors would like to sincerely thank the CSNS linac RF team for their hard work and dedication.This work was supported by the China Spallation Neutron Source project.
文摘Objective The China Spallation Neutron Source(CSNS)linac is designed with beam energy of 80 MeV and a peak current of 15 mA in the first phase.It consists of RFQ,two bunchers of medium-energy beam transmission line,four DTL tanks and one debuncher of linac-to-ring beam transmission line.Correspondingly,eight online RF power sources are used to power these accelerators.In order to stabilize the amplitude,phase and resonant frequency of the RF accelerating field,and minimize beam loss,we have established digital low-level RF(LLRF)control system.Methods The LLRF system includes RF reference line,analog module(AM),clock distribution module,digital control module(DCM),high-power protection module,timing and RF interlock module and so on.The DCM is mainly responsible for the stability of the RF field amplitude and phase,and RF interlock module can quickly cut off the RF drive in case of arc in the RF transmission system,VSWR over threshold or cavity vacuum fault and so on.Result During beam commissioning,all of eight online units of LLRF control system were operating stably and reliably.The amplitude and phase variations of the linac fields have been achieved about±0.4%and±0.15°with 10-mA beam loading,much better than the design requirements of±1%in amplitude and±1°in phase.Conclusion With the help of this system,we achieved stable operation under different beam loads.Also,many important progresses have been achieved in the LLRF control system for amore convenient operation and a higher stability performance.This article describes the design and implementation of the LLRF for CSNS linac.