Multiple GEO satellites on-orbit repairing mission planning using large neighborhood search-adaptive genetic algorithm

Han, Peng; Guo, Yanning; Li, Chuanjiang; Zhi, Hui; Lv, Yueyong

doi:10.1016/j.asr.2022.04.034

Cited by 19 publications

(3 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…i C represents the expected value of the AHLSG algorithm for the research input. The operation of this algorithm requires a large amount of motion habit features to establish machine learning models, which will impose a burden on the computational cost of the algorithm [14]. To reduce the running time of the algorithm, a model was established for this study, as shown in Fig.…”

Section: A Wearable Sensor Combining Ahls Algorithm With Sgmentioning

confidence: 99%

See 1 more Smart Citation

The Scheme Design of Wearable Sensor for Exercise Habits Based on Random Game

Huang,

Feng

2024

IJACSA

View full text Add to dashboard Cite

The development of random game theory has enabled wearable sensors to obtain actuator evolution in sports exercise, thus the design of user exercise habits during the exercise process has begun to be studied. Conventional devices only focus on automatic adjustment of sports design, with slight shortcomings in personalization. To address this issue, this study added an anchor node localization device to the adaptive search hybrid learning algorithm and analyzed the exercise goals of athletes. At the same time, a semi definite programming method was installed in wearable sensors to achieve the goal of paying attention to the physical condition of athletes. To verify the performance of the fusion device, this study conducted experiments on the Physical dataset and compared it with three models such as Harris Eagle Optimization. The accuracy rates of designing exercise habits schemes for the four devices were 97.4%, 96.5%, 94.7%, and 91.2%, respectively, indicating that the model has the strongest stability. Under the same running time, the energy loss of this model was 0.11kW * h, which performs the best among the four models. When the athletes are different in age, the F1 values of the four devices are 5.9, 4.5, 4.2 and 3.6 respectively. The results indicate that the proposed fusion model has strong robustness and is suitable for designing exercise habit schemes in the evolution of sports exercise actuators.

show abstract

Section: A Wearable Sensor Combining Ahls Algorithm With Sgmentioning

confidence: 99%

“…Fee n Fee Fee Fee Fee Pot (14) In Formula ( 14), the first feedback information of the real node is denoted as 1 Fee , and there are a total of i Fee feedbacks. Their mean is represented by m Fee .…”

mentioning

confidence: 99%

The Scheme Design of Wearable Sensor for Exercise Habits Based on Random Game

Huang,

Feng

2024

IJACSA

View full text Add to dashboard Cite

show abstract

“…In the past few years, on-orbit servicing compromising refueling, repairs, and upgrades has acquired significant attention because it would enhance the operational life and capability of space systems [1][2][3][4][5][6][7][8]. Long et al [9] summarized five broad categories of benefits of servicing: (1) reduce risk of mission failure, (2) reduce mission cost, (3) increase mission performance, (4) improve mission flexibility, and (5) enable new missions.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Mission Planning for Multiple Geosynchronous Spacecraft Refueling

Kong,

Zhou

2023

International Journal of Aerospace Engineering

View full text Add to dashboard Cite

This paper studies the multiple geosynchronous spacecraft refueling problem (MGSRP) with multiple servicing spacecraft (Ssc) and fuel depots (FDs). In the mission scenario, multiple Ssc and FDs are parked in the geosynchronous Earth orbit (GEO) initially. Ssc start from FDs and maneuver to visit and refuel multiple GEO targets with known demands. These capacitated Ssc are expected to rendezvous with fuel-deficient GEO targets and FDs for the purpose of delivering the fuel stored in FDs to GEO targets. The objective is to find a set of Pareto-optimal solutions with minimum fuel cost and mission duration. The MGSRP is a much more complex variant of multidepot vehicle routing problems mixing discrete and continuous variables. A two-nested optimization model is built. We propose a new multiobjective hybrid particle swarm optimization to solve the outer-loop problem, and the design variables are the refueling sequence, task assignment, time distribution, and locations of FDs. In the inner-loop problem, branch and bound method is used to find the optimal decision variable for a given outer-loop solution. Finally, numerical simulations are presented to illustrate the effectiveness and validity of the proposed approach.

show abstract

Iterative learning observer‐based fault‐tolerant control for on‐orbit serving spacecraft with coupled orbit and attitude dynamics

Li,

Liu,

Liu

2024

Optim Control Appl Methods

View full text Add to dashboard Cite

This article investigates the problems of coupled orbit and attitude dynamics modeling and control for an on‐orbit serving spacecraft that is going to dock with a target spacecraft. First, a coupled relative orbit and attitude dynamics model of the servicing spacecraft with respect to the target spacecraft is constructed, considering external disturbances and actuators faults. To deal with such effects, two iterative learning observers are then designed respectively for orbit dynamics and attitude dynamics, which are capable of estimating interferences and faults. Combining the estimation information, the final control law is proposed based on the back stepping method. Through the Lyapunov approach, the stability of the closed‐loop control system is analyzed. Finally, a numerical simulation is carried out to bear out the effectiveness of the proposed control scheme.

show abstract

Multiple GEO satellites on-orbit repairing mission planning using large neighborhood search-adaptive genetic algorithm

Cited by 19 publications

References 26 publications

The Scheme Design of Wearable Sensor for Exercise Habits Based on Random Game

The Scheme Design of Wearable Sensor for Exercise Habits Based on Random Game

Multiobjective Mission Planning for Multiple Geosynchronous Spacecraft Refueling

Iterative learning observer‐based fault‐tolerant control for on‐orbit serving spacecraft with coupled orbit and attitude dynamics

Contact Info

Product

Resources

About