中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Research on computer control strategy for optical electric tracking system (EI CONFERENCE) 会议论文  OAI收割
2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011, August 7, 2011 - August 10, 2011, Beijing, China
作者:  
Li M.
收藏  |  浏览/下载:23/0  |  提交时间:2013/03/25
In this paper  mathematic model and computer control strategy for optical electrical tracking system have been researched and discussed. First  the system's structure and its work process have been analyzed. Second  according to the system's moving law  the system's mathematic model has been built. As to the computer control strategy  trigger guiding  two closed loop PID control method as well as compound control method have been applied to satisfy the tracking accuracy. Third  we apply the bilinear transformation to get the digital system  and the sample time is 800Hz. The simulation results indicate that the maximum tracking error can be limited to less than 0.5 and the regulator time can be 0.04s. Then the control project resonance frequency should be more than 200Hz and the sample frequency should be more than 400Hz to meet the control accuracy requirement. So we can conclude that the system indexes such as swiftness  high accuracy as long as real time have been satisfied. And the requirement of mechanical property has been present which is very useful to mechanical working. 2011 IEEE.  
The Design and Application of CCD Auto-guiding System 会议论文  OAI收割
Chengdu, 2010-8-20
作者:  
Hai Wang;  Liyan Chen
收藏  |  浏览/下载:47/0  |  提交时间:2014/01/07
Study on navigation control method for CyberCar based on machine vision (EI CONFERENCE) 会议论文  OAI收割
2007 IEEE International Conference on Robotics and Biomimetics, ROBIO, December 15, 2007 - December 18, 2007, Yalong Bay, Sanya, China
Zhang R.-H.; Wang R.-B.; You F.; Jia H.-G.; Chen T.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
The guiding principle and composition of CyberCar based on machine vision was introduced. Applying IM sequence signals as input response signals and least squares method to establish the dynamic equation for CyberCar steering system by system identification experiments firstly  and then combined with the preview kinematics model and two-degree steering dynamic model of vehicle. Therefore  it can trace the path steadily and reliably. 2008 IEEE.  the steering control mathematics model based on preview kinematics for CyberCar was established. And then the switching hyper plane is designed by applying the optimal control theory  during the change of the curve curvature radius is little  the curve tracking of the intelligent vehicle is carried out by adopting sliding variable structure controller. Aim at the parameter uncertainty of tire  a vehicle steering system uncertain model was founded and analyzed. A H optimal controller is designed with the method of H control theory to solve the problem about model uncertainty. The simulation and experiment results show that the controller designed by the proposed method has good robustness and adaptability