Optimal scheduling of multispacecraft refueling based on cooperative maneuver

Du, B. X.; Zhao, Yong; Dutta, Atri; Yu, Jian; Chen, Xiaoqian

doi:10.1016/j.asr.2015.02.025

Cited by 22 publications

(6 citation statements)

References 22 publications

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“…Only some such studies are noted here. Du et al (2015) reported the scheduling problem of multiple spacecraft refuelling based on cooperative manoeuvres in a circular orbit. Numerical results showed that the cooperative strategy was more fuel efficient than the non-cooperative strategy.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective planning of a multiple geostationary spacecraft refuelling mission

Zhou

Yan

Huang

et al. 2016

Engineering Optimization

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The multi-objective optimization of multiple geostationary spacecraft refuelling is investigated in this article. A servicing spacecraft (SSc) and a propellant depot (PD), both parked initially in geostationary Earth orbit (GEO), are utilized to refuel multiple GEO targets of known propellant demand. The capacitated SSc is expected to rendezvous with fuel-deficient GEO targets or the PD for the purpose of refuelling or getting refuelled. The multiple geostationary spacecraft refuelling problem is treated as a multi-variable combinatorial optimization problem with the principal objective of minimizing the propellant consumption and the mission duration. A two-level optimization model is built, and the design variables are the refuelling order X, the refuelling time T and the binary decision variable S. The nondominated sorting genetic algorithm is employed to solve the up-level optimization problem. For the low-level optimization, an exact algorithm is proposed. Finally, numerical simulations are presented to illustrate the effectiveness and validity of the proposed approach. ARTICLE HISTORY

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Section: Introductionmentioning

confidence: 99%

Multi-objective planning of a multiple geostationary spacecraft refuelling mission

Zhou

Yan

Huang

et al. 2016

Engineering Optimization

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“…Ross and D'Souza [21] introduced an HOC method to solve the space mission planning problem and proposed a formalism that can free mission planners to focus on high-level decision making by automating and optimizing the details of the inner loops. Du [22] used the MIGA-SQP algorithm to tackle the nested loops in optimal scheduling of multispacecraft refueling. Motivated by Du's work of nested loops optimization, this paper integrates accelerated particle swarm optimization (APSO) algorithm with immune genetic algorithm (IGA) for mission planning problem.…”

Section: Introductionmentioning

confidence: 99%

Mission Planning of GEO Active Debris Removal Based on Revolver Mode

Zhao

Cao

Chen

et al. 2021

Mathematical Problems in Engineering

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The mission planning of active debris removal (ADR) of revolver mode on geosynchronous orbit (GEO) is studied in this paper. It is assumed that there are one service satellite, one space depot, and some pieces of space debris in the ADR mission. The service satellite firstly rendezvouses with the debris and then releases the thruster deorbit kits (TDKs), which are carried with the satellite, to push the debris to the graveyard orbit. Space depot will provide replenishment for the service satellite. The purpose of this mission planning is to optimize the ADR sequence of the service satellite, which represents the chronological order, in which the service satellite approaches different debris. In this paper, the mission cost will be stated firstly, and then a mathematical optimization model is proposed. ADR sequence and orbital transfer time are used as designed variables, whereas the fuel consumption in the whole mission is regarded as objective for optimizing, and a specific number of TDKs is also a new constraint. Then, two-level optimization is proposed to solve the mission planning problem, which is low-level for finding optimal transfer orbit using accelerated particle swarm optimization (APSO) algorithm and up-level for finding best mission sequence using immune genetic (IGA) algorithm. Numerical simulations are carried out to demonstrate the effectiveness of the model and the optimization method. Results show that TDK number influences the fuel consumption through impacting the replenishing frequency and TDK redundancy. To reduce fuel consumption, the TDK number should be optimized and designed with suitable replenishing frequency and minimum TDK redundancy.

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“…Far distance cooperative rendezvous maneuver was studied by Feng et al 28,29 Also, the cooperative rendezvous maneuver in the refuelling missions has been investigated in literature. [30][31][32][33] Also, some works [34][35][36] investigated the control of the cooperative rendezvous problems.…”

Section: Introductionmentioning

confidence: 99%

The effects of parking orbit elements on designing of on-orbit servicing missions

Bakhtiari

Daneshjou

Mohammadi-Dehabadi

2017

Proceedings of the Institution of Mechanical Engineers, Part G:

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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.

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Optimal scheduling of multispacecraft refueling based on cooperative maneuver

Cited by 22 publications

References 22 publications

Multi-objective planning of a multiple geostationary spacecraft refuelling mission

Multi-objective planning of a multiple geostationary spacecraft refuelling mission

Mission Planning of GEO Active Debris Removal Based on Revolver Mode

The effects of parking orbit elements on designing of on-orbit servicing missions

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