Mathematical Model Research of Star Image Energy Distribution of Star Tracker

2015 ◽  
Vol 52 (5) ◽  
pp. 051203
Author(s):  
王凡 Wang Fan ◽  
常军 Chang Jun ◽  
郝云彩 Hao Yuncai ◽  
牛亚军 Niu Yajun
2013 ◽  
Vol 722 ◽  
pp. 187-193
Author(s):  
Xiao Fang Zhao ◽  
Guang Bin Liu ◽  
Chao Shan Liu

In order to realize the simulation testing and calibration of star tracker in the lab, a simulation algorithm for dynamic and celestial sphere star image was proposed. This algorithm could complete simulation of star image at any time and any visual axis point, also could realize in-orbit simulation according to a given track. A new method of space district dividing was also presented in order to improve the traditional method of space district dividing by ascension and declination, fully considered declination arc length gradually shortened with latitude increasing. It can remarkably enhance the updating frequency simulation star image.


2011 ◽  
Vol 87 ◽  
pp. 30-37 ◽  
Author(s):  
Jian Feng He ◽  
Xiao Xiong Jin

Powertrain mounting system of a Hybrid Electrical Vehicle (HEV) is analyzed and researched, the expression of energy distribution matrix and that of mounting reaction force are derived, and mathematical model of the system is established in Matlab. Correctness of the model established is tested and verified through model establishing for simulation and calculation in ADAMS. Features of Hybrid Genetic Algorithm (HGA) for multiobjective optimization are analyzed and researched, model for calculation of multiobjective optimization using Hybrid Genetic Algorithm is established, targets for optimization of the system are determined, and optimization is executed based on the mounting stiffness parameters. The result that the system is optimized apparently by Hybrid Genetic Algorithm is revealed through contrast of the energy distribution matrix and mounting reaction force of pre and post-optimization.


2019 ◽  
Vol 27 (11) ◽  
pp. 15548 ◽  
Author(s):  
Yuanman Ni ◽  
Dongkai Dai ◽  
Wenfeng Tan ◽  
Xingshu Wang ◽  
Shiqiao Qin

2021 ◽  
Vol 64 (10) ◽  
pp. 839-851
Author(s):  
T.V. Danilova ◽  
M.A. Arkhipova ◽  
M.A. Maslova

2014 ◽  
Vol 34 (6) ◽  
Author(s):  
何宗祥 HE Zongxiang ◽  
刘璐 LIU Lu ◽  
李诚 LI Cheng ◽  
张庭廷 ZHANG Tingting

2011 ◽  
Vol 421 ◽  
pp. 477-482
Author(s):  
Xiang Gang Yin ◽  
Wei Wei Ge

Because there exist some disadvantages of the traditional moisture regain testing method (oven drying) for textile materials, such as longer testing period, higher energy wastage, laboring intensity, and inefficient, a new instrument i.e. moisture regain rapid testing system has been researched, designed and manufactured for raw silk in this project. This system can record real-time the weight of raw silk sample during the drying in the certain environment oven. The index prediction model has been developed based on the accumulating generation operator (1-AGO) after the data have been pretreated. According to this model, the percent of error is only 2.09% between the predicted value and actual result of raw silk moisture regain within the drying cycle of 40min by the rapid testing system.


2006 ◽  
Vol 13 (4) ◽  
pp. 456-460 ◽  
Author(s):  
Wen-wei Liu ◽  
Ying-chun Song ◽  
Jian-jun Zhu ◽  
Jing-tian Tang

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