Disturbance rejection rate online inhibition for strapdown seeker based on forced vibration

Yi Fang Yuan; De Fu Lin; Tao Yang

doi:10.15918/j.tbit1001-0645.2015.12.007

Disturbance rejection rate online inhibition for strapdown seeker based on forced vibration

Yi Fang Yuan, De Fu Lin, Tao Yang

School of Aerospace Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

In order to solve the problems that the offline calibration precision is lower for the disturbance rejection rate (DRR) with strapdown seeker and can not inhibit the effect on guidance and control system effectively, an arithmetic was presented for online estimation and inhibition the DRR of strapdown seeker based on forced vibration, and the influence of parameter values on the results of estimation and inhibition was studied. Due to the defect that the arithmetic could be influenced severely by measurement noise, a solution was designed based on Kalman filter technique. The simulation results demonstrate that the estimation can be achieved effectively by the arithmetic for DRR with different scale-factor errors. And the effect of DRR on guidance and control system can be restrained by feedforward the estimation results.

Original language	English
Pages (from-to)	1243-1249
Number of pages	7
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	35
Issue number	12
DOIs	https://doi.org/10.15918/j.tbit1001-0645.2015.12.007
Publication status	Published - 1 Dec 2015

Keywords

Disturbance rejection rate
Estimation and inhibition technique
Feedforward compensation
Forced vibration
Kalman filter

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10.15918/j.tbit1001-0645.2015.12.007

Cite this

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title = "Disturbance rejection rate online inhibition for strapdown seeker based on forced vibration",

abstract = "In order to solve the problems that the offline calibration precision is lower for the disturbance rejection rate (DRR) with strapdown seeker and can not inhibit the effect on guidance and control system effectively, an arithmetic was presented for online estimation and inhibition the DRR of strapdown seeker based on forced vibration, and the influence of parameter values on the results of estimation and inhibition was studied. Due to the defect that the arithmetic could be influenced severely by measurement noise, a solution was designed based on Kalman filter technique. The simulation results demonstrate that the estimation can be achieved effectively by the arithmetic for DRR with different scale-factor errors. And the effect of DRR on guidance and control system can be restrained by feedforward the estimation results.",

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T1 - Disturbance rejection rate online inhibition for strapdown seeker based on forced vibration

AU - Yuan, Yi Fang

AU - Lin, De Fu

AU - Yang, Tao

PY - 2015/12/1

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N2 - In order to solve the problems that the offline calibration precision is lower for the disturbance rejection rate (DRR) with strapdown seeker and can not inhibit the effect on guidance and control system effectively, an arithmetic was presented for online estimation and inhibition the DRR of strapdown seeker based on forced vibration, and the influence of parameter values on the results of estimation and inhibition was studied. Due to the defect that the arithmetic could be influenced severely by measurement noise, a solution was designed based on Kalman filter technique. The simulation results demonstrate that the estimation can be achieved effectively by the arithmetic for DRR with different scale-factor errors. And the effect of DRR on guidance and control system can be restrained by feedforward the estimation results.

AB - In order to solve the problems that the offline calibration precision is lower for the disturbance rejection rate (DRR) with strapdown seeker and can not inhibit the effect on guidance and control system effectively, an arithmetic was presented for online estimation and inhibition the DRR of strapdown seeker based on forced vibration, and the influence of parameter values on the results of estimation and inhibition was studied. Due to the defect that the arithmetic could be influenced severely by measurement noise, a solution was designed based on Kalman filter technique. The simulation results demonstrate that the estimation can be achieved effectively by the arithmetic for DRR with different scale-factor errors. And the effect of DRR on guidance and control system can be restrained by feedforward the estimation results.

KW - Disturbance rejection rate

KW - Estimation and inhibition technique

KW - Feedforward compensation

KW - Forced vibration

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Disturbance rejection rate online inhibition for strapdown seeker based on forced vibration

Abstract

Keywords

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