Presentation 2009-01-22
State Estimation of Pendulum by Monte Carlo Filter and Acceleration signal
Yasuo Tachibana,
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Abstract(in English) In this paper, we estimate the angle and the angular velocity of a pendulum from the observation signals of an accelerator mounted on it using Monte Carlo Filter (Particle Filtering). When the pendulum stops, we can estimate its vertical angle by the effect of gravity. However, in the move environment of it, the centrifugal force happens on the pendulum. Therefore, the accelerator signals contain the square component of angular velocity. In this situation, we must treat the non linear state equation and non linear observation equation. In usual case, the system noise and observation noise have not normal distribution. For these cases we can use the Monte Carlo Filter effectively. In this paper, we assume that the system and observation noise are normal. In the execution of the Monte Carlo Filter we propose that a resampling process using the sample mean and the standard deviation of particles. By the simulation it is shown that the proposed method is available to estimate the angle and angular velocity.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Monte Carlo Filter / Particle Filtering / Pendulum / Accelerometer / State Estimations
Paper # SIP2008-141,RCS2008-189
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Conference Information
Committee RCS
Conference Date 2009/1/15(1days)
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Registration To Radio Communication Systems (RCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) State Estimation of Pendulum by Monte Carlo Filter and Acceleration signal
Sub Title (in English)
Keyword(1) Monte Carlo Filter
Keyword(2) Particle Filtering
Keyword(3) Pendulum
Keyword(4) Accelerometer
Keyword(5) State Estimations
1st Author's Name Yasuo Tachibana
1st Author's Affiliation Faculty of Information, Kanagawa Institute of Technology()
Date 2009-01-22
Paper # SIP2008-141,RCS2008-189
Volume (vol) vol.108
Number (no) 391
Page pp.pp.-
#Pages 5
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