2020
DOI: 10.1155/2020/8822223
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Staring Imaging Real-Time Optimal Control Based on Neural Network

Abstract: In this paper, a real-time optimal attitude controller is designed for staring imaging, and the output command is based on future prediction. First, the mathematical model of staring imaging is established. Then, the structure of the optimal attitude controller is designed. The controller consists of a preprocessing algorithm and a neural network. Constructing the neural network requires training samples generated by optimization. The objective function in the optimization method takes the future control effec… Show more

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Cited by 5 publications
(4 citation statements)
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“…Much research work has been done on the attitude tracking control for the satellites. Meanwhile, some controllers have been employed in satellites attitude control, such as sliding mode controller, robust controller, and intelligent controller [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34].…”
Section: Introductionmentioning
confidence: 99%
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“…Much research work has been done on the attitude tracking control for the satellites. Meanwhile, some controllers have been employed in satellites attitude control, such as sliding mode controller, robust controller, and intelligent controller [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34].…”
Section: Introductionmentioning
confidence: 99%
“…So far, compared with attitude tracking and control for spacecraft and satellites, several satellite staring attitude control methods have been introduced to achieve real-time tracking [24][25][26][27][28][29][30][31][32]. For instance, Lian et al [27] investigated the small satellite attitude problems for staring operation.…”
Section: Introductionmentioning
confidence: 99%
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“…Ref. [11] realizes a similar real-time optimal control method with an emphasis on the pointing accuracy. However, the above studies have not considered the image feedback, though the image error directly and precisely reflects the controller's accuracy.…”
Section: Introductionmentioning
confidence: 99%