Combining Charge Couple Devices and Rate Sensors for the Feedforward Control System of a Charge Coupled Device Tracking Loop

A rate feed forward control-based sensor fusion is proposed to improve the closed-loop performance for a charge couple device (CCD) tracking loop. The target trajectory is recovered by combining line of sight (LOS) errors from the CCD and the angular rate from a fiber-optic gyroscope (FOG). A Kalman...

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Main Authors: Tao Tang, Jing Tian, Daijun Zhong, Chengyu Fu
Format: Article
Language:English
Published: MDPI AG 2016-06-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/7/968
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spelling doaj-b9d0da158c83498ca3abb8dafae2b1ab2020-11-24T22:51:11ZengMDPI AGSensors1424-82202016-06-0116796810.3390/s16070968s16070968Combining Charge Couple Devices and Rate Sensors for the Feedforward Control System of a Charge Coupled Device Tracking LoopTao Tang0Jing Tian1Daijun Zhong2Chengyu Fu3Institute of Optics and Electronics, Chinese Academy of Science, Chengdu 610209, ChinaInstitute of Optics and Electronics, Chinese Academy of Science, Chengdu 610209, ChinaInstitute of Optics and Electronics, Chinese Academy of Science, Chengdu 610209, ChinaInstitute of Optics and Electronics, Chinese Academy of Science, Chengdu 610209, ChinaA rate feed forward control-based sensor fusion is proposed to improve the closed-loop performance for a charge couple device (CCD) tracking loop. The target trajectory is recovered by combining line of sight (LOS) errors from the CCD and the angular rate from a fiber-optic gyroscope (FOG). A Kalman filter based on the Singer acceleration model utilizes the reconstructive target trajectory to estimate the target velocity. Different from classical feed forward control, additive feedback loops are inevitably added to the original control loops due to the fact some closed-loop information is used. The transfer function of the Kalman filter in the frequency domain is built for analyzing the closed loop stability. The bandwidth of the Kalman filter is the major factor affecting the control stability and close-loop performance. Both simulations and experiments are provided to demonstrate the benefits of the proposed algorithm.http://www.mdpi.com/1424-8220/16/7/968sensor fusioncharge couple devicefeedforward controltime delaylight of sight error, FOG
collection DOAJ
language English
format Article
sources DOAJ
author Tao Tang
Jing Tian
Daijun Zhong
Chengyu Fu
spellingShingle Tao Tang
Jing Tian
Daijun Zhong
Chengyu Fu
Combining Charge Couple Devices and Rate Sensors for the Feedforward Control System of a Charge Coupled Device Tracking Loop
Sensors
sensor fusion
charge couple device
feedforward control
time delay
light of sight error, FOG
author_facet Tao Tang
Jing Tian
Daijun Zhong
Chengyu Fu
author_sort Tao Tang
title Combining Charge Couple Devices and Rate Sensors for the Feedforward Control System of a Charge Coupled Device Tracking Loop
title_short Combining Charge Couple Devices and Rate Sensors for the Feedforward Control System of a Charge Coupled Device Tracking Loop
title_full Combining Charge Couple Devices and Rate Sensors for the Feedforward Control System of a Charge Coupled Device Tracking Loop
title_fullStr Combining Charge Couple Devices and Rate Sensors for the Feedforward Control System of a Charge Coupled Device Tracking Loop
title_full_unstemmed Combining Charge Couple Devices and Rate Sensors for the Feedforward Control System of a Charge Coupled Device Tracking Loop
title_sort combining charge couple devices and rate sensors for the feedforward control system of a charge coupled device tracking loop
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2016-06-01
description A rate feed forward control-based sensor fusion is proposed to improve the closed-loop performance for a charge couple device (CCD) tracking loop. The target trajectory is recovered by combining line of sight (LOS) errors from the CCD and the angular rate from a fiber-optic gyroscope (FOG). A Kalman filter based on the Singer acceleration model utilizes the reconstructive target trajectory to estimate the target velocity. Different from classical feed forward control, additive feedback loops are inevitably added to the original control loops due to the fact some closed-loop information is used. The transfer function of the Kalman filter in the frequency domain is built for analyzing the closed loop stability. The bandwidth of the Kalman filter is the major factor affecting the control stability and close-loop performance. Both simulations and experiments are provided to demonstrate the benefits of the proposed algorithm.
topic sensor fusion
charge couple device
feedforward control
time delay
light of sight error, FOG
url http://www.mdpi.com/1424-8220/16/7/968
work_keys_str_mv AT taotang combiningchargecoupledevicesandratesensorsforthefeedforwardcontrolsystemofachargecoupleddevicetrackingloop
AT jingtian combiningchargecoupledevicesandratesensorsforthefeedforwardcontrolsystemofachargecoupleddevicetrackingloop
AT daijunzhong combiningchargecoupledevicesandratesensorsforthefeedforwardcontrolsystemofachargecoupleddevicetrackingloop
AT chengyufu combiningchargecoupledevicesandratesensorsforthefeedforwardcontrolsystemofachargecoupleddevicetrackingloop
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