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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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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1725670976098664448 |