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	Aerodynamic force and moment measurement of 10° half-angle cone in JF12 shock tunnel 期刊论文 OAI收割 Chinese Journal of Aeronautics, 2017, 卷号: 30, 期号: 3, 页码: 983-987 作者: Liu YF(刘云峰); Wang YP(汪运鹏); Yuan CK(苑朝凯); Luo ZT(罗长童); Jiang ZL(姜宗林) 收藏 \| 浏览/下载：53/0 \| 提交时间：2017/08/22 Aerodynamic force and moment measurement 10° half-angle cone model JF12 Real-gas effects Shock tunnel
	Multi-Dimensional MEMS/Micro Sensor for Force and Moment Sensing: A Review 期刊论文 OAI收割 IEEE SENSORS JOURNAL, 2014, 卷号: 14, 期号: 8, 页码: 2643-2657 作者: Qiaokang Liang; Dan Zhang; Gianmarc Coppola; Yaonan Wang; Sun Wei 收藏 \| 浏览/下载：26/0 \| 提交时间：2016/03/22 Multi-dimensional Force Measurement Micro Sensor Moment Measurement
	Parameters estimation of BLDC motor for energy storage system (EI CONFERENCE) 会议论文 OAI收割 10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China Wu J. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 This paper presents a statistical method to estimate the parameters of the brushless dc (BLDC) motor of a flywheel system for energy storage. The principle of the estimation is based on least square estimation under a reasonable constraint. Method is suitable to avoid using complicated test apparatus. Torque constant static friction coefficient vicious friction coefficient and inertia moment can be estimated. Furthermore copper loss iron loss mechanical loss and other loss can be computed from these estimation and measurement data. By the proposed method it is demonstrated experimentally that accuracy estimation can be achieved. 2012 IEEE.
	United steering of control moment gyros for small satellite with limited gimbal rate (EI CONFERENCE) 会议论文 OAI收割 2010 IEEE International Conference on Information and Automation, ICIA 2010, June 20, 2010 - June 23, 2010, Harbin, Heilongjiang, China Xu K.; Jin G.; Chen C. 收藏 \| 浏览/下载：18/0 \| 提交时间：2013/03/25 Single Gimbal Control Moment Gyroscopes (SGCMG) can could provide large control torque and quick attitude maneuver rate to small satellites without any increase in power volume and mass which will help small satellites become more powerful. Singularity avoidance and failure steering are two important problems to SGCMGs and also the main focus in this field. A new united steering law for SGCMGs with capabilities of singularity avoidance and quick transition of singularity surfaces is developed in this paper. To ensuring the existence of null motion the commanded output of controller was changed real-timely as the variation of singularity measurement of SGCMGs which can avoid the gimbal angle rate saturation. This developed steering law could help the SGCMGs provide real-time control toques in spite of limitation of gimbal angle rate. Simulation analysis is conducted for a certain 4-SGCMG system mounted on a small satellite. Simulation results indicate that the steering law is very effective in singularity avoidance. 2010 IEEE.
	Multiwavelet based multispectral image fusion for corona detection (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang X.; Yang H.-J.; Sui Y.-X.; Yan F.; Yan F. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 Image fusion refers to the integration of complementary information provided by various sensors such that the new images are more useful for human or machine perception. Multiwavelet transform has simultaneous orthogonality symmetry compact support and vanishing moment which are not possible with scalar wavelet transform. Multiwavelet analysis can offer more precise image analysis than wavelet multiresolution analysis. In this paper a new image fusion algorithm based on discrete multiwavelet transform (DMWT) to fuse the dual-spectral images generated from the corona detection system is presented. The dual-spectrum detection system is used to detect the corona and indicate its exact location. The system combines a solar-blind UV ICCD with a visible camera where the UV image is useful for detecting UV emission from corona and the visible image shows the position of the corona. The developed fusion algorithm is proposed considering the feature of the UV and visible images adequately. The source images are performed at the pixel level. First a decomposition step is taken with the DMWT. After the decomposition step a pyramid for each source image in each level can be obtained. Then an optimized coefficient fusion rule consisting of activity level measurement coefficient combining and consistency verification is used to acquire the fused coefficients. This process reduces the impulse noise of UV image. Finally a new fused image is obtained by reconstructing the fused coefficients using inverse DMWT. This image fusion algorithm has been applied to process the multispectral UV/visible images. Experimental results show that the proposed method outperforms the discrete wavelet transform based approach.