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长春光学精密机械与物... [2]
武汉大学 [1]
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会议论文 [1]
其他 [1]
学位论文 [1]
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2019 [1]
2014 [1]
2011 [1]
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Analysis of Velocity Estimation Methods Based on BDS PPP
其他
2019-01-01
作者:
Duan, Shunli
;
Sun, Wei
;
Shi, Junbo
;
Ouyang, Chenhao
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浏览/下载:3/0
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提交时间:2019/12/05
BDS
PPP
Doppler velocity estimation
Position differential velocity estimation
船载光测设备精度分析及数据处理
学位论文
博士: 中国科学院大学, 2014
盛磊
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浏览/下载:48/0
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提交时间:2014/08/21
The angular velocity estimation principal of -- filter based on high sampling rate (EI CONFERENCE)
会议论文
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
Zhang Y.
;
Chu H.
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提交时间:2013/03/25
In order to get angular velocity of stabilization servo mechanism from angular position sensors
-- filter and its angular velocity transfer function were predigested. Combing with optimum parameters
-- filter based on high sampling rate was established
the effect of and sample rate on filter nature frequency were evaluated. According to the requirements of stabilization platform
the principle of steady and transient tracking filter differential were proved. With the hypothesis of constant acceleration
the frequency characteristics of angular velocity transfer function were analyzed
three-dimensional Kalman filter was simplified
and the filter parameters were designed. The results show that when the spectrum of input signal was lower than 6rad/s
parameters was 0.02
and sampling period were 0.08ms and 0.1ms respectively
the filter can realize differential exactly
when the spectrum was 9rad/s
the precision was no less than 1.1%
the phase leading of angular position was no less than 70
the natural frequency should be higher than the cut-off frequency of stabilization platform was two or three times. In the engineering of electro-optical stabilization servo mechanism
-- filter has properties of tracking differential
and reached the requirement of platform angular velocity estimation. Also it is one of the effective methods to get angular velocity from angular position sensors. 2011 IEEE.
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