计算机科学
卡尔曼滤波器
探测器
带宽(计算)
运动控制
运动补偿
控制系统
计算机视觉
控制理论(社会学)
人工智能
电信
工程类
机器人
控制(管理)
电气工程
作者
Zhibin Li,Junchen Wen,Chongshang Sun,Jianqiang Zhang,Hetianyu Huang,Chengxin Zhang,Yanfeng Zhang,Jianan Pan
摘要
Fast steering mirrors (FSMs) have been used for decades to improve the performance of electro-optical imaging systems, such as airborne imaging systems and space-based optical surveillance systems. With the advantage of increasing the accuracy of image motion compensation and the efficiency of scanning imaging, backscanning step-and-stare imaging has become the main approach to realizing wide-area surveillance for airborne imaging systems. According to the operating mode and motion profile of the FSM in the imaging system, a combined optimized profile (COP) is designed to avoid abrupt changes in the velocity and acceleration of the FSM. The angular position sensor based on a four-quadrant detector is used in FSMs to expand the measuring range and cut the cost at the expense of larger measurement noise. Combining a Kalman filter with a disturbance observer and zero-phase error tracking control, a control method is proposed to improve the control precision and bandwidth while suppressing measurement noise. Simulation and experimental results show that the profile designed by COP is smooth enough to meet the special requirements of FSM's backscanning image motion compensation and that the Kalman filter-based FSM control method can significantly improve the control accuracy.
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