Multi‐actuator control with modal switching and different disturbance for scanning imaging motion compensation
Abstract Scanning imaging can be used to obtain wide field‐of‐view, high‐resolution remote‐sensing images with a telescope lens. However, the motion between the image and the sensor causes blurring during scanning, which reduces the image quality. In this paper, a motion compensation method based on...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-10-01
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| Series: | IET Control Theory & Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cth2.12168 |
| _version_ | 1828396122236780544 |
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| author | Yang Gao Rui Xu Yutang Wang Dapeng Tian |
| author_facet | Yang Gao Rui Xu Yutang Wang Dapeng Tian |
| author_sort | Yang Gao |
| collection | DOAJ |
| description | Abstract Scanning imaging can be used to obtain wide field‐of‐view, high‐resolution remote‐sensing images with a telescope lens. However, the motion between the image and the sensor causes blurring during scanning, which reduces the image quality. In this paper, a motion compensation method based on multi‐actuator control with modal switching is proposed. In this method, the tracking controller realizes scanning and compensation; the cooperative controller reduces the relative motion that causes motion blur, and modal switching solves the travel limitation of the linear actuator. Further, to improve the control performance, an adaptive sliding mode controller is proposed and combined with a disturbance observer. The stability theorems for multi‐actuator and modal switching are studied. Experimental results show that the accuracy, robustness, and frame rate of the proposed method improved compared with those of traditional methods. Compared with the non‐cooperative structure using a PD controller, the root mean square error is reduced by 76.61%. |
| first_indexed | 2024-12-10T08:24:53Z |
| format | Article |
| id | doaj.art-9513967952c049a08fa11c28cc24c8a7 |
| institution | Directory Open Access Journal |
| issn | 1751-8644 1751-8652 |
| language | English |
| last_indexed | 2024-12-10T08:24:53Z |
| publishDate | 2021-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Control Theory & Applications |
| spelling | doaj.art-9513967952c049a08fa11c28cc24c8a72022-12-22T01:56:15ZengWileyIET Control Theory & Applications1751-86441751-86522021-10-0115151931194110.1049/cth2.12168Multi‐actuator control with modal switching and different disturbance for scanning imaging motion compensationYang Gao0Rui Xu1Yutang Wang2Dapeng Tian3Key laboratory of Airborne Optical Imaging and Measurement Changchun Institute of Optics, Fine Mechanics and Physics Chinese Academy of Sciences Changchun ChinaKey laboratory of Airborne Optical Imaging and Measurement Changchun Institute of Optics, Fine Mechanics and Physics Chinese Academy of Sciences Changchun ChinaKey laboratory of Airborne Optical Imaging and Measurement Changchun Institute of Optics, Fine Mechanics and Physics Chinese Academy of Sciences Changchun ChinaKey laboratory of Airborne Optical Imaging and Measurement Changchun Institute of Optics, Fine Mechanics and Physics Chinese Academy of Sciences Changchun ChinaAbstract Scanning imaging can be used to obtain wide field‐of‐view, high‐resolution remote‐sensing images with a telescope lens. However, the motion between the image and the sensor causes blurring during scanning, which reduces the image quality. In this paper, a motion compensation method based on multi‐actuator control with modal switching is proposed. In this method, the tracking controller realizes scanning and compensation; the cooperative controller reduces the relative motion that causes motion blur, and modal switching solves the travel limitation of the linear actuator. Further, to improve the control performance, an adaptive sliding mode controller is proposed and combined with a disturbance observer. The stability theorems for multi‐actuator and modal switching are studied. Experimental results show that the accuracy, robustness, and frame rate of the proposed method improved compared with those of traditional methods. Compared with the non‐cooperative structure using a PD controller, the root mean square error is reduced by 76.61%.https://doi.org/10.1049/cth2.12168Optical, image and video signal processingActuating and final control devicesInterpolation and function approximation (numerical analysis)Computer vision and image processing techniquesInterpolation and function approximation (numerical analysis)Multivariable control systems |
| spellingShingle | Yang Gao Rui Xu Yutang Wang Dapeng Tian Multi‐actuator control with modal switching and different disturbance for scanning imaging motion compensation IET Control Theory & Applications Optical, image and video signal processing Actuating and final control devices Interpolation and function approximation (numerical analysis) Computer vision and image processing techniques Interpolation and function approximation (numerical analysis) Multivariable control systems |
| title | Multi‐actuator control with modal switching and different disturbance for scanning imaging motion compensation |
| title_full | Multi‐actuator control with modal switching and different disturbance for scanning imaging motion compensation |
| title_fullStr | Multi‐actuator control with modal switching and different disturbance for scanning imaging motion compensation |
| title_full_unstemmed | Multi‐actuator control with modal switching and different disturbance for scanning imaging motion compensation |
| title_short | Multi‐actuator control with modal switching and different disturbance for scanning imaging motion compensation |
| title_sort | multi actuator control with modal switching and different disturbance for scanning imaging motion compensation |
| topic | Optical, image and video signal processing Actuating and final control devices Interpolation and function approximation (numerical analysis) Computer vision and image processing techniques Interpolation and function approximation (numerical analysis) Multivariable control systems |
| url | https://doi.org/10.1049/cth2.12168 |
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