
Multi‐actuator control with modal switching and different disturbance for scanning imaging motion compensation
Author(s) -
Gao Yang,
Xu Rui,
Wang Yutang,
Tian Dapeng
Publication year - 2021
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/cth2.12168
Subject(s) - control theory (sociology) , actuator , modal , robustness (evolution) , computer science , motion control , controller (irrigation) , computer vision , image quality , artificial intelligence , robot , image (mathematics) , control (management) , materials science , biochemistry , chemistry , biology , polymer chemistry , agronomy , gene
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 % .