为了充分利用不同类型的时间传递链路,需要实现不同采样率下时间传递链路数据的融合应用,提出了一种基于多分辨率分析的数据融合方法.首先对原始数据进行小波分解,把数据分解到统一的分辨率,初步消除高频噪声;然后在不同分辨率下进行Kal...为了充分利用不同类型的时间传递链路,需要实现不同采样率下时间传递链路数据的融合应用,提出了一种基于多分辨率分析的数据融合方法.首先对原始数据进行小波分解,把数据分解到统一的分辨率,初步消除高频噪声;然后在不同分辨率下进行Kalman滤波;最后通过Mallat快速重构算法得到融合结果.使用该方法处理中国科学院国家授时中心(National Time Service Center,NTSC)和德国联邦物理技术研究所(PhysikalischTechnische Bundesanstalt,PTB)之间的时间传递数据,结果显示融合算法能够处理链路异常或中断造成的数据问题.由于GPS(Global Positioning System)PPP(Precise Point Positioning solutions)链路实测结果性能整体优于TWSTFT(Two-Way Satellite Time and Frequency Transfer)链路,因此用GPS PPP链路测量结果评估融合算法增益.以快速协调世界时(Rapid Realization of Coordinated Universal Time,UTCr)为参考,数据融合结果的准确性增益约1%,日频率稳定度增益优于20%.同时融合算法可以抑制TWSTFT链路的周期噪声,能够有效提高链路的稳定性和鲁棒性.展开更多
TB86 97063864卡尔曼滤波在自动X线头影测量系统中的应用=Ap-plication of Kalman filter in automatic cephalo-metric analysis system[刊,中]/徐常胜,周兆英,徐振明,刘思行(清华大学精密仪器系.北京(100084)),张晓(北京医科大学口腔...TB86 97063864卡尔曼滤波在自动X线头影测量系统中的应用=Ap-plication of Kalman filter in automatic cephalo-metric analysis system[刊,中]/徐常胜,周兆英,徐振明,刘思行(清华大学精密仪器系.北京(100084)),张晓(北京医科大学口腔医学院.北京(100081))展开更多
A novel discrete-time reaching law was proposed for uncertain discrete-time system,which contained process noise and measurement noise.The proposed method reserves all the advantages of discrete-time reaching law,whic...A novel discrete-time reaching law was proposed for uncertain discrete-time system,which contained process noise and measurement noise.The proposed method reserves all the advantages of discrete-time reaching law,which not only decreases the band width of sliding mode and strengthens the system robustness,but also improves the dynamic performance and stability capability of the system.Moreover,a discrete-time sliding mode control strategy based on Kalman filter method was designed,and Kalman filter was employed to eliminate the influence of system noise.Simulation results show that there is no chattering phenomenon in the output of controller and the state variables of controlled system,and the proposed algorithm is also feasible and has strong robustness to external disturbances.展开更多
文摘为了充分利用不同类型的时间传递链路,需要实现不同采样率下时间传递链路数据的融合应用,提出了一种基于多分辨率分析的数据融合方法.首先对原始数据进行小波分解,把数据分解到统一的分辨率,初步消除高频噪声;然后在不同分辨率下进行Kalman滤波;最后通过Mallat快速重构算法得到融合结果.使用该方法处理中国科学院国家授时中心(National Time Service Center,NTSC)和德国联邦物理技术研究所(PhysikalischTechnische Bundesanstalt,PTB)之间的时间传递数据,结果显示融合算法能够处理链路异常或中断造成的数据问题.由于GPS(Global Positioning System)PPP(Precise Point Positioning solutions)链路实测结果性能整体优于TWSTFT(Two-Way Satellite Time and Frequency Transfer)链路,因此用GPS PPP链路测量结果评估融合算法增益.以快速协调世界时(Rapid Realization of Coordinated Universal Time,UTCr)为参考,数据融合结果的准确性增益约1%,日频率稳定度增益优于20%.同时融合算法可以抑制TWSTFT链路的周期噪声,能够有效提高链路的稳定性和鲁棒性.
文摘TB86 97063864卡尔曼滤波在自动X线头影测量系统中的应用=Ap-plication of Kalman filter in automatic cephalo-metric analysis system[刊,中]/徐常胜,周兆英,徐振明,刘思行(清华大学精密仪器系.北京(100084)),张晓(北京医科大学口腔医学院.北京(100081))
基金Project(50721063) supported by the National Natural Science Foundation of China
文摘A novel discrete-time reaching law was proposed for uncertain discrete-time system,which contained process noise and measurement noise.The proposed method reserves all the advantages of discrete-time reaching law,which not only decreases the band width of sliding mode and strengthens the system robustness,but also improves the dynamic performance and stability capability of the system.Moreover,a discrete-time sliding mode control strategy based on Kalman filter method was designed,and Kalman filter was employed to eliminate the influence of system noise.Simulation results show that there is no chattering phenomenon in the output of controller and the state variables of controlled system,and the proposed algorithm is also feasible and has strong robustness to external disturbances.
