机构

• 长春光学精密机械与物... [3]

采集方式

• OAI收割 [3]

内容类型

• 会议论文 [3]

发表日期

• 2008 [3]

学科主题

筛选

浏览/检索结果: 共3条，第1-3条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 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   Dynamics simulation on control technology for 4WS vehicle steering performance (EI CONFERENCE) 会议论文  OAI收割 ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2008, August 3, 2008 - August 4, 2008, Guangzhou, China Rong-Hui Z.; Hong-Guang J.; Tao C. 收藏  |  浏览/下载：29/0  |  提交时间：2013/03/25 By combining visual preview kinematics  dynamic equation of steering system and 2-DOF steering dynamistic model of 4WS  it can easily attenuate the change and uncertainty of model. 2008 IEEE.  we establish the two degree of freedom model of four-wheel steering vehicle. And then the switching hyper plane is designed by applying the optimal control theory. During the change of parameter is little  4WS steering performance is carried out by adopting sliding variable structure controller. To improve the steering performance of 4WS  especially state variables convergent velocity  Kalman filter for 4WS is designed. And the robust optimal controller is designed for model and parameter is uncertainty. The simulation results show that the controller designed by the proposed method has good robustness   Platform and steady kalman state observer design for intelligent vehicle based on visual guidance (EI CONFERENCE) 会议论文  OAI收割 2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008, April 21, 2008 - April 24, 2008, Chengdu, China Rong-hui Z.; Rong-ben W.; Feng Y.; Hong-guang J.; Tao C. 收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25 State observer design is one of key technologies in research field of intelligent vehicle. Experiment platform  visual guidance intelligent vehicle JLUIV-5  is establishedby Jilin University Intelligent Vehicle Group firstly. The system structure and assistant navigation control system  and different image identify algorithms to recognize preview path and stops for variable illuminations are introduced. The dynamic response equation of steering control system was got by system identification experiment. By combined with the preview kinematics model  and two-degree steering dynamic model of vehicle  the steering kalman filter mathematics model based on preview kinematics for intelligent vehicle was obtained. And observer is designed by applying steady Kalman filter theory. The simulation and experiment results  carry out in Jilin University Nanling Campus and Culture Center of Jilin Province  show that the image identify algorithms  and steady Kalmanstate observer designed by the proposed method has good adaptability for time-varying and parameters uncertain  it can satisfy intelligent vehicle trace the path reliably during outdoor experiment. 2008 IEEE.