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Identification of Hammerstein systems with time delay under load disturbance 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2018, 卷号: 12, 页码: 942-952
作者:  Dong, Shijian;  Liu, Tao;  Wang, Qing-Guo
收藏  |  浏览/下载：15/0  |  提交时间：2019/12/02
A High Accuracy Temperature Sensor and Temperature Compensation Algorithm Embedded In TPMS 其他
2012-01-01
Jianguang Chen; Zhu Zhu; Lejing Wang; Yueguo Hao; Yuhua Cheng
收藏  |  浏览/下载：2/0  |  提交时间：2017/12/03
Adaptive Wiener filtering with Gaussian fitted point spread function in image restoration (EI CONFERENCE) 会议论文
2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011, July 15, 2011 - July 17, 2011, Beijing, China
Yang L.; Zhang X.; Ren J.
收藏  |  浏览/下载：30/0  |  提交时间：2013/03/25
In the imaging process of the space remote sensing camera  there was degradation phenomenon in the acquired images. In order to reduce the image blur caused by the degradation  the remote sensing images were restored to give prominence to the characteristic objects in the images. First  the frequency-domain notch filter was adopted to remove strip noises in the images. Then using the ground characters with the knife-edge shape in the images  the point spread function of the imaging system was estimated. In order to improve the accuracy  the estimated point spread function was corrected with Gaussian fitting method. Finally  the images were restored using the adaptive Wiener filtering with the fitted point spread function. Experimental results of the real remote sensing images showed that almost all strip noises in the images were eliminated. After the denoised images were restored  its variance and its gray mean gradient increased  also its laplacian gradient increased. Restoration with Gaussian fitted point spread function is beneficial to interpreting and analyzing the remote sensing images. After restoration  the blur phenomenon of the images is reduced. The characters are highlighted  and the visual effect of the images is clearer. 2011 IEEE.  
Design and analysis of auto-focus assembly for spaceborne remote sensing camera (EI CONFERENCE) 会议论文
2011 International Conference on Electronics, Communications and Control, ICECC 2011, September 9, 2011 - September 11, 2011, Ningbo, China
Chen W.; Ding Y.; Hui S.; Gao X.
收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25
Spaceborne remote sensing camera may be out of focus when the environment and photographic distance changes. In order to get higher ground sampled distance for the camera  based on the experience gained from the development of a remote sensing camera  working principle of auto-focus assembly control system was discussed. Time of waveform extraction was reduced. It sets force an auto-focus assembly that uses cam and line guide rail in order to move the lens group. The motion error of the auto-focus assembly was difficult to be eliminated and would affect on the focusing accuracy of the spaceborne remote sensing camera directly. So it was analyzed at both ends of the focusing structure. The CCD detector can keep stable when the remote sensing camera is imaging. The motion error was tested to verify the validity of the simulation result and it is less than 0.01mm. Its accuracy meets using demand. The focusing method of moving focal plane is suitable for spaceborne remote sensing camera. 2011 IEEE.  
Non-linear compensation algorithm of LOS locating in aerial remote sensor (EI CONFERENCE) 会议论文
2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011, August 12, 2011 - August 14, 2011, Harbin, China
Li J.; Xiu J.; Huang P.; Li Y.; Chen L.
收藏  |  浏览/下载：23/0  |  提交时间：2013/03/25
A non-linear light-of-sight(LOS) locating compensation algorithm for certain aerial remote sensor is presented in this paper. The LOS locating system is composed of two main components  which are an inertial reference frame to provide coarse LOS locating and a 2-axis Fast Steering Mirror to remove the frame's residual error. The azimuth and elevation of LOS are both affected by the FSM two-degree-of-freedom rotation  which should be dealt with to raise the accuracy of LOS location. This paper extrapolates LOS locating algorithm of FSM by coordinate transformation  and gives corresponding deviation analysis for different LOS poiting angles. It is found that the angle deviation grows rapidly with range of FSM's travel enlarging  so the deviation must be eliminated. Through the data analysis for deviation  a non-linear compensation algorithm is proved effective to reduce the error of LOS significantly. Taking LOS changing in [-3 deg  3 deg] as an example  two analytic expressions are given  and the LOS locating accuracy rises by 34 times compared with non-linear compensation unused  and the cross coupling of LOS loating is 0.08%. 2011 IEEE.  
逆变器驱动电机的共模电压和轴电压的抑制 期刊论文
2010, 2010
钟玉林; 赵争鸣; 袁立强; ZHONG Yulin; ZHAO Zhengming; YUAN Liqiang
收藏  |  浏览/下载：3/0
逆变器驱动电机的共模电压和轴电压的抑制 期刊论文
2010, 2010
钟玉林; 赵争鸣; 袁立强; ZHONG Yulin; ZHAO Zhengming; YUAN Liqiang
收藏  |  浏览/下载：3/0
Gimbal displacement error analysis on an electro-optical seeker (EI CONFERENCE) 会议论文
Optical Design and Testing IV, October 18, 2010 - October 20, 2010, Beijing, China
Jiang Z.; Zhang X.; Ai X.; Wei Q.; Jia H.
收藏  |  浏览/下载：23/0  |  提交时间：2013/03/25
It is essential to analyze the gimbal displacement errors for a seeker due to the importance for cueing of targets and tracking for the final approach. Otherwise  for a seeker electro-driven with a concentric glass dome  the large errors will decrease the picking  pointing  and tracking precision rooted from the displacement errors existing between the rotation center of the optical system and the gimbal. And the gimbaled camera system displacement errors are never eliminated but reduced due to the geometric errors consists of geometric tolerances of gimbal structure  manufacture  installation and vibration coming from working environment. In this paper  the gimbal displacement errors in an electro-optically stabilized platform resulting from geometric errors and environment errors were analyzed and shown in detail. The mathematical modal of the gimbal displacement errors created based on multi-body dynamics demonstrated the connection between the gimbal displacement errors and the stabilized platform. Taking a visible light image seeker as a case  the diameter is 120mm  and the geometric tolerances came from the values of primary design and the vibration data came from the environmental vibration test on the pitch-yaw seeker  and at the same time  the errors resulting from installation were considered too. Based on calculating  the maximum gimbal displacement error will reach to 0.2mm for pitching angle smaller than 40 and yawing angle smaller than 60. However  the critical parts have been found out according to the probability theory and the reliability analysis successfully used in the paper  and finally  the maximum gimbal displacement error reduced to 0.1mm  which is acceptable corresponding to the picking  pointing and tracking precision for an optical imaging seeker. 2010 Copyright SPIE - The International Society for Optical Engineering.  
Remote sensing image restoration using estimated point spread function (EI CONFERENCE) 会议论文
2010 International Conference on Information, Networking and Automation, ICINA 2010, October 17, 2010 - October 19, 2010, Kunming, China
Yang L.; Ren J.
收藏  |  浏览/下载：27/0  |  提交时间：2013/03/25
In order to reduce image blur caused by the degradation phenomenon in the imaging process  the acquired images of the space remote sensing camera are restored. First  the frequency-domain notch filter is adopted to remove strip noises in the images. Then degradation function  which is referred to as the point spread function (PSF) of the imaging system is estimated using the knife-edge method. To improve the accuracy of the estimation  the estimated PSF is adjusted with Gaussian fitting. Finally  the images are restored by Wiener filtering with the fitted PSF. The restoration results of the remote sensing images show that almost all strip noises are eliminated by the notch filter. After denoising and restoration  the variance of the remote sensing image worked with in this paper increases 30.979 and the gray mean gradient increases 3.312. Due to Gaussian fitting  the accuracy of the PSF estimation is heightened. Image restoration with the final PSF is benefit to interpreting and analyzing the remote sensing images. After restoration  the contrasts of the restored images are increased and the visual effects become clearer. 2010 IEEE.  
The study of mapping relation of aeroplane complex motion and image movement and compensation technique (EI CONFERENCE) 会议论文
2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China
Wei Z.; Wang Y.-Y.; Xue W.-Q.; Dai M.
收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25
In order to solve the problem of image blurring due to the image motion which results from the aircraft's motion  attitude changes  and the relative motion of the camera and aircraft firstly  we install linear displacement transducer on the four shock absorbers. By analyzing the displacement values  the geometrical relationship between the camera and the aircraft is acquired  then relative motion amount between the object and the aircraft is obtained according to the motion and attitude changes. After that  making use of geometrical relationship  we can calculate the displacement variation of pixels within the camera exposure time. Thereafter  taking consider variable motion and non-linear motion as uniform motion in a straight line at the moment of imaging  then the model of the blurring image can be established according to the displacement variation of pixels within the camera exposure time  and fuzzy point spread function in the two-dimensional movement is built. By using Wiener filtering method with the optimal window  the image blurring is eliminated in aerial imaging system. Practice proved that this method can effectively eliminate the image blurring in the aerial imaging system. 2010 IEEE.  

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