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Design of the real-time autofocusing system for collimator with long focus length and large aperture (EI CONFERENCE) 会议论文  OAI收割
2011 International Academic Conference on Numbers, Intelligence, Manufacturing Technology and Machinery Automation, MAMT 2011, December 24, 2011 - December 25, 2011, Wuhan, China
作者:  
Zhang X.;  Zhang X.;  Zhang X.
收藏  |  浏览/下载:46/0  |  提交时间:2013/03/25
Large aperture collimator which has been widely used for calibrating and testing various optical devices plays an essential role in correlative laboratories. As being the basic testing and calibration equipment  the large aperture collimator's accuracy should be much higher than the device under testing in order to ensure the accuracy of the measurement. However  the process of adjusting the collimator is extremely complicated due to the collimator's large aperture and long focal length. So it is difficult to ensure the measurement's quality and easy to cause the system being vulnerable to the surrounding environment. One of the most common problems is defocus. In order to solve the problem above  this issue presents a new type of autocollimator autofocusing system which uses pentaprism instead of using large-aperture plane mirror  semiconductor lasers as light source and CCD sensor as receiver. The system is smaller  lighter  and more convenient when using. The computer simulation shows that the autofocusing system's resolution could reach the accuracy of 40m. If we use the relevant algorithms to execute the sub-pixel scanning  the resolution could reach the accuracy of 10m. It shows that the system could satisfy the required testing precision of testing large aperture optical device.  
Double inverted pendulum control based on three-loop PID and improved BP neural network (EI CONFERENCE) 会议论文  OAI收割
2011 2nd International Conference on Digital Manufacturing and Automation, ICDMA 2011, August 5, 2011 - August 7, 2011, Zhangjiajie, Hunan, China
作者:  
Fan Y.
收藏  |  浏览/下载:42/0  |  提交时间:2013/03/25
To deal with the defects of BP neural networks used in balance control of inverted pendulum  such as longer train time and converging in partial minimum  this article reaLizes the control of double inverted pendulum with improved BP algorithm of artificial neural networks(ANN)  builds up a training model of test simulation and the BP network is 6-10-1 structure. Tansig function is used in hidden layer and PureLin function is used in output layer  LM is used in training algorithm. The training data is acquried by three-loop PID algorithm. The model is learned and trained with Matlab calculating software  and the simuLink simulation experiment results prove that improved BP algorithm for inverted pendulum control has higher precision  better astringency and lower calculation. This algorithm has wide appLication on nonLinear control and robust control field in particular. 2011 IEEE.  
Study on sub-pixel techniques for accurate image measurement of displacement (EI CONFERENCE) 会议论文  OAI收割
2011 2nd International Conference on Advanced Measurement and Test, AMT 2011, June 24, 2011 - June 26, 2011, Nanchang, China
作者:  
Zhang X.;  Zhang X.;  Zhang X.
收藏  |  浏览/下载:21/0  |  提交时间:2013/03/25
A fuzzy control method based on information integration for double inverted pendulum (EI CONFERENCE) 会议论文  OAI收割
2011 2nd International Conference on Digital Manufacturing and Automation, ICDMA 2011, August 5, 2011 - August 7, 2011, Zhangjiajie, Hunan, China
作者:  
Fan Y.
收藏  |  浏览/下载:67/0  |  提交时间:2013/03/25
This article proposes a new fuzzy controller based on information integration. The mathematical model of Linear double inverted pendulum has been studied and estabLished with dynamics analytical method and LQR theory is used to design the optimal Linear inverted pendulum controller  then  the integration technology is used to design the variable parameters self-tuning fuzzy controller. Thereby  the fuzzy controller input variable dimension and the number of fuzzy control rules have been extremely reduced. Two controllers are designed for inverted pendulum system control and the comparison simulation experiments have been done. The results show that the controllers can both reaLize good control  and the fuzzy controller has higher precision  faster response  better stabiLity and robustness. 2011 IEEE.  
Distribution of gyroscope accuracy parameters for E-O stabilization platform (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Electric Information and Control Engineering, ICEICE 2011, April 15, 2011 - April 17, 2011, Wuhan, China
作者:  
Zhang X.;  Zhang X.;  Zhang X.;  Jiang H.
收藏  |  浏览/下载:31/0  |  提交时间:2013/03/25
E-O stabilization platform performance is partly decided by gyroscope precision  so it is important to choose a gyroscope with proper accuracy for an E-O stabilization platform. Based on the method of using a gyroscope in practice  gyroscope error model is established. With the gyroscope error model gyroscope accuracy parameters  that is bias repeatability  bias stability  scale factor  scale factor nonlinearity  output noise and bandwidth  are separately analyzed. According to the concretely required performance indices for an E-O platform  means of distribution of gyroscope accuracy parameters is proposed. A MEMS gyroscope is tested to get the parameters. Bias stability of the gyroscope is 0.08 /s while the bandwidth is 60 Hz. Output noise both at zero input and at nonzero input is analyzed by means of PSD to get the result that nonzero output noise is higher than zero output noise. Frequency response result of the gyroscope is dealt by means of correlation analysis. With all the tested result and the method of distribution of gyroscope accuracy parameters  it is clear that how the gyroscope errors works in an E-O servo system. The principle of distribution of gyroscope accuracy parameters is helpful for choosing appropriate gyroscope for an E-O platform. 2011 IEEE.  
The angular velocity estimation principal of -- filter based on high sampling rate (EI CONFERENCE) 会议论文  OAI收割
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
作者:  
收藏  |  浏览/下载:33/0  |  提交时间:2013/03/25
In order to get angular velocity of stabilization servo mechanism from angular position sensors  -- filter and its angular velocity transfer function were predigested. Combing with optimum parameters  -- filter based on high sampling rate was established  the effect of and sample rate on filter nature frequency were evaluated. According to the requirements of stabilization platform  the principle of steady and transient tracking filter differential were proved. With the hypothesis of constant acceleration  the frequency characteristics of angular velocity transfer function were analyzed  three-dimensional Kalman filter was simplified  and the filter parameters were designed. The results show that when the spectrum of input signal was lower than 6rad/s  parameters was 0.02  and sampling period were 0.08ms and 0.1ms respectively  the filter can realize differential exactly  when the spectrum was 9rad/s  the precision was no less than 1.1%  the phase leading of angular position was no less than 70  the natural frequency should be higher than the cut-off frequency of stabilization platform was two or three times. In the engineering of electro-optical stabilization servo mechanism  -- filter has properties of tracking differential  and reached the requirement of platform angular velocity estimation. Also it is one of the effective methods to get angular velocity from angular position sensors. 2011 IEEE.  
Slip motor speed control system based on LPC2136 and low cost CMOS camera (EI CONFERENCE) 会议论文  OAI收割
2010 IEEE International Conference on Advanced Computer Control, ICACC 2010, March 27, 2010 - March 29, 2010, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
作者:  
Yang S.-W.
收藏  |  浏览/下载:23/0  |  提交时间:2013/03/25
Application of adaptive Kalman filter technique in initial alignment of strapdown inertial navigation system (EI CONFERENCE) 会议论文  OAI收割
29th Chinese Control Conference, CCC'10, July 29, 2010 - July 31, 2010, Beijing, China
作者:  
Liu P.
收藏  |  浏览/下载:30/0  |  提交时间:2013/03/25
In order to improve the alignment precision and convergence speed of strap-down inertial navigation system  but in the active system most noise statistical characteristics are unknown  an initial alignment method based on Sage-Husa adaptive filter is presented. We also derived the exactitude alignment error model and adaptive Kalman filter equation in the azimuth of small misalignment angle. As usual  in this case  known the noise statistical characteristics  we introduce the adaptive Kalman filter. It uses the information of observed data  Kalman filter is suitable  on-line estimation noise statistical characteristics and state simultaneously in order to improve the filter continuously  so  the filter has a higher estimation accuracy than the conventional Kalman filter. By simulating verifying  the adaptive Kalman filter enhances the convergence speed and alignment accuracy effectively.  
The registration of aerial infrared and visible images (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Educational and Information Technology, ICEIT 2010, September 17, 2010 - September 19, 2010, Chongqing, China
作者:  
Liu J.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:31/0  |  提交时间:2013/03/25
In order to solve the registration problem of different source image existed on aerial image fusion  algorithms based on Particle Swarm Optimization (PSO) are applied as search strategy in this paper  and Alignment Metric (AM) is used as judgment. This study has realized the different source image registration of infrared and visible light with high speed  high accuracy and high reliability. Basically  with little restriction of gray level properties  a new alignment measure is applied  which can efficiently measure the image registration extent and tolerate noise well. Even more  the intelligent optimization algorithm - Particle Swarm Optimization (PSO) is combined to improve the registration precision and rate of infrared and visible light. Experimental results indicate that  the study attains the registration accuracy of pixel level  and every registration time is cut down over 40 percent compared to traditional method. The match algorithm based on AM  solves the registration problem that greater differences between different source images are existed on gray and characteristic. At the same time  the adoption of combining the intelligent optimization algorithms significantly improves the searching efficiency and convergence speed of the algorithms  and the registration result has higher accuracy and stability  which builds up solid foundation for different source image fusion. The method in this paper has a magnificent effect  and is easy for application and very suitable for engineering use. 2010 IEEE.  
Innovative EDL GNC scheme for precise and safe mars landing missions (EI CONFERENCE) 会议论文  OAI收割
60th International Astronautical Congress 2009, IAC 2009, October 12, 2009 - October 16, 2009, Daejeon, Korea, Republic of
作者:  
Liu Y.;  Zhang L.;  Zhang L.;  Liu Y.;  Liu Y.
收藏  |  浏览/下载:60/0  |  提交时间:2013/03/25