Mission planning optimization for the visual inspection of multiple geosynchronous satellites

2014 ◽  
Vol 47 (11) ◽  
pp. 1543-1563 ◽  
Author(s):  
Yang Zhou ◽  
Ye Yan ◽  
Xu Huang ◽  
Yueneng Yang ◽  
Hua Zhang
2015 ◽  
Vol 56 (11) ◽  
pp. 2612-2625 ◽  
Author(s):  
Yang Zhou ◽  
Ye Yan ◽  
Xu Huang ◽  
Linjie Kong

2018 ◽  
Vol 61 (6) ◽  
pp. 1476-1489 ◽  
Author(s):  
Kaikai Cui ◽  
Junhua Xiang ◽  
Yulin Zhang

Author(s):  
Jing Yu ◽  
Yong-gang Yu ◽  
Dong Hao ◽  
Xiao-qian Chen ◽  
Hong-yang Liu

On-orbit refueling plays a key role in extending the lifespan of space assets. Geosynchronous Earth orbit (GEO) satellites are of high strategic and commercial value. The optimal scheduling for geosynchronous Earth orbit on-orbit refueling mission is studied in this paper, considering bi-objective function. Assuming that all space assets are originally located on the geosynchronous Earth orbit belt and noncoplanar, this paper aims at allocating the targets to the servicing spacecrafts, optimizing the rendezvous sequences and transfer trajectories of the servicing spacecrafts as well as their initial orbital location, dry mass, and fuel mass. Taking orbital transfer fuel cost and transfer time as the objective functions, a mathematical optimization model is proposed, as well as the solution method. Numerical simulations of various configurations are carried out to verify the effectiveness of the model and solution method. It can be concluded from the simulations that the optimal initial position of the servicing spacecraft prefers the area where the targets are concentrated; the servicing spacecraft initial orbital parameters have significant influences on the mission planning results; and it is fuel-saving and time-saving to employ more servicing spacecraft for on-orbit refueling mission and to optimize the initial location of the servicing spacecrafts.


Author(s):  
Majid Bakhtiari ◽  
Kamran Daneshjou ◽  
Abbas Ali Mohammadi-Dehabadi

Nowadays on-orbit servicing operations such as satellite refuelling, debris removal and visual inspection are considered as the most important issues in the space missions. Mission planning has a key role on the designation of such missions and it is strongly dependent on the required fuel. In this study, a new approach is proposed for the designing of the on-orbit operations with considering the parking orbit elements and location of the servicing satellites. The proposed method improves the previous mission planning process of the multiple servicing satellites in the terms of the reduction in the mission fuel consumption. Furthermore, a special rendezvous maneuver is considered for meeting the servicing satellites and the targets. Also, the transfer orbits are obtained through Lambert targeting. The optimisation of the problem is carried out by particle swarm optimisation algorithm and Taguchi technique is employed for the robust design of the control parameters of the optimisation algorithm. The results reveal that the proposed approach is an efficient way in the reduction of the fuel consumption in the on-orbit servicing missions rather than the conventional methods.


2003 ◽  
Author(s):  
Rahul R. Desai ◽  
Anand K. Gramopadhye ◽  
Brian J. Melloy ◽  
Andrew Duchowski

Author(s):  
A. Sivasangari ◽  
G. Sasikumar

Leukemia   disease   is one   of    the   leading   causes   of death   among   human. Its  cure  rate and  prognosis   depends   mainly   on  the  early  detection   and  diagnosis  of   the  disease. At  the  moment, identification  of  blood  disorders  is  through   visual  inspection  of  microscopic  images  by  examining  changes  like  texture, geometry, colour  and   statistical  analysis  of  images . This  project  aims  to  preliminary  of  developing  a  detection  of  leukemia  types  using   microscopic  blood  sample using MATLAB. Images  are  used  as  they  are  cheap  and  do  not  expensive  for testing  and  lab  equipment.


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