One of the most important missions of an airborne inertial stabilization platform (AISP) is to acquire the image of the target with high resolution. It is challenging for the AISP to acquire such high-quality images because the AISP is continuously exposed to a significant level of vibration from the airplane, which is transformed into exogenous disturbance torque. As a consequence, the AISP suffers line-of-sight jitter that undermines the image quality. Although the conventional mass stabilization system is capable of rejecting exogenous disturbance torque only within a low frequency band, the introduction of a fast steering mirror (FSM) can significantly expand the disturbance rejection capacity. This paper describes how the introduction of the FSM improves the image stabilization capacity. On top of the conventional mass stabilization system of gimbaled mechanism with inertial sensor feedbacks, we implement the FSM that covers high frequency band within the optical path from the telescopes of the AISP to its image sensor. A high gain FSM controller is designed through the loop-shaping method and applied to the piezo-electric actuator driven FSM, which shows a sufficiently high bandwidth for rejecting the exogenous disturbance of our interest. The results from both actuation data and acquired images demonstrate the effectiveness of the FSM in the image stabilization of the AISP.
Modern electro-optical surveillance and reconnaissance systems require tracking capability to get exact images of target or to accurately direct the line of sight to target which is moving or still. This leads to the tracking system composed of image based tracking algorithm and servo control algorithm. In this study, we focus on the servo control function to minimize the overshoot in the tracking motion and do not miss the target. The scheme is to limit acceleration and velocity parameters in the tracking controller, depending on the target state information in the image. We implement the proposed techniques by creating a system model of DIRCM and simulate the same environment, validate the performance on the actual equipment.
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