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A Sun-Tracking Algorithm for Satellite-Borne Spectrometers Based on the Orbital Motion Model 期刊论文
Applied Sciences-Basel, 2022, 卷号: 12, 期号: 7, 页码: 15
作者:  X. Guo;  C. X. Yan;  Y. F. Guo;  X. D. Qi;  B. Huang and X. Che
收藏  |  浏览/下载：3/0  |  提交时间：2023/06/14
Attitude determination for satellite using adaptive unscented Kalman filter 期刊论文
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2021, 卷号: 29, 期号: 3, 页码: 637-645
作者:  L. Xiao;  S.-J. Wang;  L. Chang and M.-L. Zhou
收藏  |  浏览/下载：2/0  |  提交时间：2022/06/13
Improved Uncalibrated Visual Servo Strategy for Hyper-Redundant Manipulators in On-Orbit Automatic Assembly 期刊论文
Applied Sciences-Basel, 2020, 卷号: 10, 期号: 19, 页码: 26
作者:  J. L. Gu,M. C. Zhu,L. H. Cao,A. Li,W. R. Wang and Z. B. Xu
收藏  |  浏览/下载：4/0  |  提交时间：2021/07/06
Gain-optimization trajectory planning method for hyper-redundant manipulator with joint constraints 期刊论文
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2019, 卷号: 27, 期号: 5, 页码: 1075-1086
作者:  W.-R.Wang;  K.-J.Liu;  J.-L.Gu;  A.Li;  H.-R.Chu
收藏  |  浏览/下载：0/0  |  提交时间：2020/08/24
半捷联光电稳定平台误差分析与补偿研究 学位论文
博士: 中国科学院大学, 2014
赵明
收藏  |  浏览/下载：44/0  |  提交时间：2014/08/21
基于控制力矩陀螺的卫星姿态机动与稳定控制 学位论文
博士: 中国科学院大学, 2014
常琳
收藏  |  浏览/下载：85/0  |  提交时间：2014/08/21
Trajectory tracking control for mobile robot based on the fuzzy sliding mode (EI CONFERENCE) 会议论文
10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China
Xie M.-J.; Li L.-T.; Wang Z.-Q.
收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25
Stabilization and tracking precision improved based on disturbance observer (EI CONFERENCE) 会议论文
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
Sun G.; Zhu M.; Jia H.
收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25
Based on the kinematics of semi-strapdown seeker  the framework coordinate of the semi-strapdown seeker is established and the optical axis stabilization equation of semistrapdown seeker is deduced based on product of exponential (POE) formula. The stabilization control principle block diagram of semi-strapdown seeker is shown based on the stabilization equation. The main influence factors of the stability precision are pointed out  such as friction disturbance  velocity measurement noise and missile disturbance. For the sake of improving the stabilization precision and tracking precision  disturbance observer was proposed in the inner loop of semi-strapdown seeker servo-control system. The low frequency external disturbance and high frequency velocity measurement noise are effectively restrained by the disturbance observer as shown in hardware-in-loop simulation  and optical axis stabilization precision and tracking precision are greatly improved. 2011 IEEE.  
Study on navigation control method for CyberCar based on machine vision (EI CONFERENCE) 会议论文
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：18/0  |  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  

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