scholarly journals Design Coverage Optimization Based on Position of Constellations and Cost of the Launch Vehicle

2021 ◽  
Vol 17 ◽  
pp. 1160-1190
Author(s):  
Saeid Kohani ◽  
Peng Zong ◽  
Fengfan Yang
Keyword(s):  
Genetic Algorithms ◽  
Optimal Design ◽  
Launch Vehicle ◽  
Multiple Objective ◽  
Satellite Constellations ◽  
Coverage Optimization ◽  
Satellite Constellation ◽  
Constellation Design ◽  
Global Coverage ◽  
Simulation Results

This research will analyze the tradeoffs between coverage optimization based on Position dilution of precision (PDOP) and cost of the launch vehicle. It adopts MATLAB and STK tools along with multiple objective genetic algorithms (MOGA) to explore the trade space for the constellation designs at different orbital altitudes. The objective of optimal design solutions is inferred to determine the economic and efficient LEO, MEO, HEO or hybrid constellations and simulation results are presented to optimize the design of satellite constellations. The benefits of this research are the optimization of satellite constellation design, which reduces costs and increases regional and global coverage with the least number of satellites. The result of this project is the optimization of the number of constellation satellites in several orbital planes in LEO orbit. Validations are based on reviewing the results of several simulations. The results of graphs and tables are presented in the last two sections and are taken from the results of several simulations.

Satellite constellation design with genetic algorithms based on system performance

2016 ◽  
Vol 27 (2) ◽  
pp. 379-385 ◽  
Author(s):  
Xueying Wang ◽  
Jun Li ◽  
Tiebing Wang ◽  
Wei An ◽  
Weidong Sheng
Keyword(s):  
Genetic Algorithms ◽  
System Performance ◽  
Satellite Constellation ◽  
Constellation Design

scholarly journals A Sensor Deployment Approach Using Improved Virtual Force Algorithm Based on Area Intensity for Multisensor Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Jiahao Xie ◽  
Daozhi Wei ◽  
Shucai Huang ◽  
Xiangwei Bu
Keyword(s):  
Sensor Deployment ◽  
Local Optimum ◽  
Detection Model ◽  
Coverage Optimization ◽  
Virtual Force ◽  
Global Coverage ◽  
Optimal Deployment ◽  
Coverage Quality ◽  
Simulation Results ◽  
Sensor Detection

Sensor deployment is one of the major concerns in multisensor networks. This paper proposes a sensor deployment approach using improved virtual force algorithm based on area intensity for multisensor networks to realize the optimal deployment of multisensor and obtain better coverage effect. Due to the real-time sensor detection model, the algorithm uses the intensity of sensor area to select the optimal deployment distance. In order to verify the effectiveness of this algorithm to improve coverage quality, VFA and PSOA are selected for comparative analysis. The simulation results show that the algorithm can achieve global coverage optimization better and improve the performance of virtual force algorithm. It avoids the unstable coverage caused by the large amount of computation, slow convergence speed, and easily falling into local optimum, which provides a new idea for multisensor deployment.

Satellite Constellation Design for Zonal Coverage Using Genetic Algorithms

1999 ◽  
Vol 47 (3-4) ◽  
pp. 207-228 ◽  
Author(s):  
T. A. Ely ◽  
W. A. Crossley ◽  
E. A. Williams
Keyword(s):  
Genetic Algorithms ◽  
Satellite Constellation ◽  
Constellation Design

DESIGN OF CONTROLLABLE LEADER–FOLLOWER NETWORKS VIA MEMETIC ALGORITHMS

2021 ◽  
pp. 2150004
Author(s):  
SHAOPING XIAO ◽  
BAIKE SHE ◽  
SIDDHARTHA MEHTA ◽  
ZHEN KAN
Keyword(s):  
Genetic Algorithms ◽  
Optimal Design ◽  
Optimization Problems ◽  
Memetic Algorithms ◽  
Networked Systems ◽  
Efficiency And Effectiveness ◽  
Minimum Number ◽  
Simulation Results ◽  
Leader Selection ◽  
Network Controllability

In many engineered and natural networked systems, there has been great interest in leader selection and/or edge assignment during the optimal design of controllable networks. In this paper, we present our pioneering work in leader–follower network design via memetic algorithms, which focuses on minimizing the number of leaders or the amount of control energy while ensuring network controllability. We consider three problems in this paper: (1) selecting the minimum number of leaders in a pre-defined network with guaranteed network controllability; (2) selecting the leaders in a pre-defined network with the minimum control energy; and (3) assigning edges (interactions) between nodes to form a controllable leader–follower network with the minimum control energy. The proposed framework can be applied in designing signed, unsigned, directed, or undirected networks. It should be noted that this work is the first to apply memetic algorithms in the design of controllable networks. We chose memetic algorithms because they have been shown to be more efficient and more effective than the standard genetic algorithms in solving some optimization problems. Our simulation results provide an additional demonstration of their efficiency and effectiveness.

scholarly journals Improvement and Simulation of an Autonomous Time Synchronization Algorithm for a Layered Satellite Constellation

2013 ◽  
Vol 2013 ◽  
pp. 1-7
Author(s):  
Feijiang Huang ◽  
Xiaochun Lu ◽  
Guangcan Liu ◽  
Liping Sun ◽  
Wang Sheng ◽  
...  
Keyword(s):  
Time Synchronization ◽  
Earth Orbit ◽  
Satellite Constellations ◽  
Satellite Constellation ◽  
Ground Station ◽  
Synchronization Algorithm ◽  
Satellite Visibility ◽  
Simulation Results ◽  
Simulation Errors ◽  
System Time

Autonomous time synchronization for satellite constellations is a key technology to establish a constellation system time without the use of a ground station. The characteristics of satellite visibility time for layered satellite constellations containing geostationary earth orbit (GEO), inclined geosynchronous orbit (IGSO), and medium earth orbit (MEO) satellites are simulated by establishing a visible satellite model. Based on the satellite visible simulation results for a layered constellation, this study investigates the autonomous time synchronization algorithm that corresponds to the layered constellation structure, analyzes the main error of the time synchronization algorithm, and proposes methods to improve the characteristics of satellite movement in the constellation. This study uses an improved two-way time synchronization algorithm for autonomous time synchronization in the GEO-MEO satellite layer of a layered satellite constellation. The simulation results show that in a condition with simulation errors, the time synchronization precision of this improved algorithm can be controlled within 5 ns and used in high-precision autonomous time synchronization between layered satellite constellations.

scholarly journals Multi-objective optimization of earth cooperative observation hybrid satellite constellation

2021 ◽  
Vol 39 (1) ◽  
pp. 224-232
Author(s):  
Boyong He ◽  
Jing Cao ◽  
Qingrui Zhou ◽  
Jianguo Wang
Keyword(s):  
Satellite Remote Sensing ◽  
Multiple Objective ◽  
Objective Functions ◽  
Multi Objective Optimization ◽  
Pareto Solution ◽  
Multi Objective ◽  
Satellite Constellation ◽  
Satellite Links ◽  
Global Coverage ◽  
The Cost

As the demand for comprehensiveness, accuracy, and data fast return of satellite remote sensing information grows, a hybrid constellation with permanent inter-satellite link becomes an inevitable choice for earth cooperative observation. The models for the objective function for global coverage, regional revisit detained survey duration, spatial resolution, inter-satellite links, and the cost of constellation deployment are established firstly, and the constraints like the ground trace repeating are dealt skillfully. The layered multi-objective optimization frame is designed for solving this problem. The example explains that present models distribute the multiple objective functions and constraints, and the result Pareto solution set can show several performance features of the hybrid satellite constellation, it may support the satellite constellation engineering argumentation and selection on merit.

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