DocumentCode :
2814897
Title :
The angular velocity estimation principal of α-β-γ filter based on high sampling rate
Author :
Zhang, Yue ; Chu, Hairong
Author_Institution :
Changchun Inst. of Opt., Fine Mech. & Phys., Chinese Acad. of Sci., Changchun, China
fYear :
2011
fDate :
15-17 July 2011
Firstpage :
5342
Lastpage :
5345
Abstract :
In order to get angular velocity of stabilization servo mechanism from angular position sensors, α-β-γ filter based on high sampling rate was established, the principle of steady and transient tracking filter differential were proved. With the hypothesis of constant acceleration, three-dimensional Kalman filter was simplified; α-β-γ filter and its angular velocity transfer function were predigested. Combing with optimum parameters, the effect of α and sample rate on filter nature frequency were evaluated. According to the requirements of stabilization platform, the frequency characteristics of angular velocity transfer function were analyzed, and the filter parameters were designed. The results show that when the spectrum of input signal was lower than 6rad/s, parameters α 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, α-β-γ 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.
Keywords :
Kalman filters; angular velocity measurement; position measurement; servomechanisms; velocity measurement; α-β-γ filter; angular position sensors; angular velocity estimation principal; cut-off frequency; electro-optical stabilization servo mechanism; frequency characteristics; high sampling rate; stabilization platform; three-dimensional Kalman filter; time 0.08 ms; time 0.1 ms; transient tracking filter differential; Acceleration; Angular velocity; Estimation; Extraterrestrial measurements; Kalman filters; Optical filters; Servomotors; α-β-γ; angular velocity estimation; filter; high sampling rate; tracking differential principle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
Type :
conf
DOI :
10.1109/MACE.2011.5988199
Filename :
5988199
Link To Document :
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