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	Analysis and Design of Fault Prediction and Health Assessment System for the optoelectronic Equipment 会议论文 OAI收割 Chongqing, China, 2022-12-16 作者: Zhang, Chuming; Wei, Guojun; Wang, Xuan; Cao, Yu; Xie, Meilin \| 收藏 \| 浏览/下载：27/0 \| 提交时间：2023/03/13 optoelectronic equipment Fault prediction Health assessment statistical analysis
	The ship-borne infrared searching and tracking system based on the inertial platform (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China 作者: Li Y.; Zhang H.; Zhang H.; Li Y.; Li Y. 收藏 \| 浏览/下载：35/0 \| 提交时间：2013/03/25 As a result of the radar system got interferenced or in the state of half silent it can cause the guided precision drop badly In the modern electronic warfare therefore it can lead to the equipment depended on electronic guidance cannot strike the incoming goals exactly. It will need to rely on optoelectronic devices to make up for its shortcomings but when interference is in the process of radar leading especially the electro-optical equipment is influenced by the roll pitch and yaw rotation it can affect the target appear outside of the field of optoelectronic devices for a long time so the infrared optoelectronic equipment can not exert the superiority and also it cannot get across weapon-control system "reverse bring" missile against incoming goals. So the conventional ship-borne infrared system unable to track the target of incoming quickly the ability of optoelectronic rivalry declines heavily.Here we provide a brand new controlling algorithm for the semi-automatic searching and infrared tracking based on inertial navigation platform. Now it is applying well in our XX infrared optoelectronic searching and tracking system. The algorithm is mainly divided into two steps: The artificial mode turns into auto-searching when the deviation of guide exceeds the current scene under the course of leading for radar.When the threshold value of the image picked-up is satisfied by the contrast of the target in the searching scene the speed computed by using the CA model Least Square Method feeds back to the speed loop. And then combine the infrared information to accomplish the closed-loop control of the infrared optoelectronic system tracking. The algorithm is verified via experiment. Target capturing distance is 22.3 kilometers on the great lead deviation by using the algorithm. But without using the algorithm the capturing distance declines 12 kilometers. The algorithm advances the ability of infrared optoelectronic rivalry and declines the target capturing time by using semi-automatic searching and reliable capturing-tracking when the lead deviation of the radar is great. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
	The advanced position compensation to improve the dynamic tracking ability for fast moving target in an optoelectronic tracking system (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Devices and Instruments, August 21, 2005 - August 26, 2005, Changchun, China 作者: Zhao L.; Chen J. 收藏 \| 浏览/下载：17/0 \| 提交时间：2013/03/25 The servo control system of the optoelectronic tracking equipment usually is a kind of SISO. When the fast moving target is tracked the over-tune of the servo system is the main representation for the dynamic tracking error. As the result the tracking ability may be improved by limiting the over-tune. We put forward a method the advanced position compensation (called as APC in short) which is to check the speed-overtune by applying the advanced position information. For the large accelerate target small over-tune tracking is achieved but it lowers the ability for tracking the sine signal at low frequency area. While the dynamic high-type can improve the tracking precision for the sine signal at low frequency area we work out a brand-new method which combines the advantages of the both. It increases the tracking precision in the whole frequency band at large scale for the optoelectronic tracking system. The simulation results show that when the target moves with the largest accelerate 120/s2 120/s the maximum static tracking error is about 0.6.