scholarly journals ANALISA SENSITIVITAS PADA DESAIN AWAL SATELIT MIKRO PENGAMAT BUMI (SENSITIVITY ANALYSIS ON PRELIMINARY DESIGN OF EARTH OBSERVATION MICRO-SATELLITE)

2013 ◽  
Vol 11 (1) ◽  
Author(s):  
Robertus Heru Triharjanto ◽  
Ridanto Eko P ◽  
Hari Muhammad
Keyword(s):  
Sensitivity Analysis ◽  
Power Consumption ◽  
Electrical Power ◽  
Earth Observation ◽  
Design Parameters ◽  
Preliminary Design ◽  
Satellite Mission ◽  
Earth Observation Satellite ◽  
The One ◽  
Multispectral Imager

The paper discuss about the sensitivity analysis on the preliminary design of Earth observation micro-satellite. The objective of the analysis is to evaluate which design parameters affect the satellite performances the most. The satellite type used in this research is the one which weight no more than 100 kg and which dimension can be fitted into auxilary payload alocation in the launch vehicle. The satellite mission chosen in this research is limited to optical-based multispectral imager, and the design phase is at preliminary design, in which some of the constraints are based on empirical data. The result obtained show that image resolusion affect the most on the rate of data to be processed, especially at high resolution, so that it affect the satellite power consumption. Resolution, which is a function of lens dimensions, also effect the satellite’s weight that have to acommodate it. On the other hand, such accomodation affect the satellite’s ability to supply electrical power. Number of spectrum, also affect satellite’s weight and power consumption, but at more moderate level. Keywords: Microsatellite design, Earth observation satellite, Sensitivity analysis

scholarly journals Optimization of a two-mass vibration-based electromagnetic energy harvester using simulated annealing method

2018 ◽  
Vol 37 (1) ◽  
pp. 90-106 ◽  
Author(s):  
Min-Chie Chiu ◽  
Ying-Chun Chang ◽  
Long-Jyi Yeh ◽  
Chiu-Hung Chung
Keyword(s):  
Optimal Design ◽  
Energy Harvester ◽  
Electrical Power ◽  
Mode Shapes ◽  
Design Parameters ◽  
Generation Model ◽  
Mass Energy ◽  
The One ◽  
Electrical Generation ◽  
The Revolution

In this paper, a theoretical mathematical model in conjunction with an electrical generation model is examined. Using a simulated algorithm, the optimal design of a two-mass energy harvester that finds the maximal electrical power will be assessed. Before the optimal design is performed, the influence of the electrical power with respect to design parameters such as the magnet’s height, the diameter, the stiffness of the lower springs, the stiffness of the upper springs, the revolution of the lower coil, the revolution of the upper coil, the diameter of the coil’s wire, and the electrical resistance of the loading will be analyzed. Results reveal that the design parameters play essential roles in maximizing electrical power. The two mode shapes of the two-mass energy harvester also occur at the targeted forcing frequencies. The electrical power is optimally extracted at the two primary forcing frequencies, i.e. 12 and 30 Hz. Moreover, it is obvious that the induced electrical power of the two-mass energy harvester will be superior to that of the one-mass energy harvester.

A Global Multidimensional Sensitivity Analysis of Electronic Systems Subjected to Time-Dependent Excitations

1998 ◽  
Vol 120 (4) ◽  
pp. 391-394
Author(s):  
H. A. Jensen ◽  
A. O. Cifuentes
Keyword(s):  
Sensitivity Analysis ◽  
Technical Note ◽  
Previous Method ◽  
Design Parameters ◽  
Electronic Systems ◽  
Analysis Method ◽  
Electronic Components ◽  
One Dimensional ◽  
Sensitivity Analysis Method ◽  
The One

This technical note presents a global sensitivity analysis method for the dynamic response of electronic systems considering several design parameters at the same time. The method is an extension of a previous method presented by the authors for the one-dimensional case (only one design variable at a time was considered subjected to uncertainty). The method is expected to be useful in the design, analysis and qualification of electronic components.

A Review on Machine Learning for Earth Observation Satellite Mission Planning

2021 ◽  
Vol 14 ◽  
Author(s):  
Zhiliang Li ◽  
Mingyong Jiang ◽  
Da Ran ◽  
Fengjie Zheng
Keyword(s):  
Machine Learning ◽  
Solution Process ◽  
Field Research ◽  
Earth Observation ◽  
Mission Planning ◽  
Planning Problem ◽  
Satellite Mission ◽  
The Earth ◽  
Integral Process ◽  
Earth Observation Satellite

: Mission planning is an integral process that enables earth observation missions and defines their success rate. This paper identifies key problems and opportunities on machine learning for earth observation satellite mission planning. Firstly, the description elements, classification methods, solution process and solution difficulties of the mission planning problem of earth observation satellite are described. Secondly, the current research status of machine learning for the earth observation satellite mission planning is summarized and analyzed. Finally, the problems of current research are analyzed, and the prospect of new field research is given in light of the development needs.

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