Architecture for Payload Planning System (PPS) software distribution

Howell, E. J.; Hagopian, Jeff

doi:10.2514/6.1995-3537

Cited by 4 publications

(4 citation statements)

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“…is the importance factor of the mission; is the start time of the replanning of mission i; is the original start time of mission i; n is the total amount of missions; is total amount of cancel missions. b) mission impact on astronauts The mission impact on astronauts is to evaluate the deviation between replanned missions and the original missions: (9) Where, is astronaut impact factor; is the total number of astronaut missions;…”

Section: Planning Model 1) Variablesmentioning

confidence: 99%

“…The ISS has been orbiting over the years, the main countries taking part in the operation of the ISS have developed a variety of mission planning systems, including the United States Johnson space center's space station mission planning system [8], the Marshall space flight center's station load mission planning system [9], Japan's executive-level mission planning system [10] and European Space Agency (ESA)'s strategic-tactical planning support tool [11]. The literature of the systems mentioned above mainly introduces the functional architecture of the software system, and there are few studies on specific models and methods of the space station mission planning.…”

Section: Introductionmentioning

confidence: 99%

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A Space Station Dynamic Mission Planning Based on Multi-objective Constraint Values

Chen¹,

Wei²,

Gao³

2019

Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)

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A dynamic mission planning method based on multi-objective constraint values is designed for the situation in case of emergent mission happens to space station in orbit. A space station dynamic mission planning model is described based on the ontology model, and the comprehensive evaluation function of the space station dynamic mission planning is proposed by weighing the factors such as the mission stability of the space station , the mission impact on astronauts, the mission planning ratio, and the mission resource utilization. The dynamic mission time backtracking iteration method is adopted to solve the conflict of each constraint in dynamic mission planning by repeated mission search and mission reconstruction. Base on this, Mission Number Maximization Strategy, Consumption Most Economical Strategy and Astronaut Impact Minimization Strategy are proposed. The proposed approach is evaluated in a test case with twentythree missions and two astronauts. The simulation results show that the proposed replanning method based on multi-objective constraint values can meet different dynamic mission planning requirements of a space station.

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Section: Planning Model 1) Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Space Station Dynamic Mission Planning Based on Multi-objective Constraint Values

Chen¹,

Wei²,

Gao³

2019

Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)

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“…For the operation of the ISS, many mission planning systems have been developed and put into application successfully, such as the IPS (Integrated Planning System) and PPS (payload planning system) of NASA (National Aeronautics And Space Administration) [13,14], the DSS (Decision Support System) of RASA (Russian Aviation & Space Agency) [15], the OPPS (Operations Preparation and Planning System) of ESA (European Space Agency) [16] and the J-EPS (JEM Execute Planning System) of JAXA (Japan Aerospace Exploration Agency) [17,18]. These systems are serving ISS effectively, but the corresponding studies on models and algorithms are not known to the public.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of space station short-term mission planning

Zhang

Luo

et al. 2015

Sci. China Technol. Sci.

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This paper studies the multi-objective optimization of space station short-term mission planning (STMP), which aims to obtain a mission-execution plan satisfying multiple planning demands. The planning needs to allocate the execution time effectively, schedule the on-board astronauts properly, and arrange the devices reasonably. The STMP concept models for problem definitions and descriptions are presented, and then an STMP multi-objective planning model is developed. To optimize the STMP problem, a Non-dominated Sorting Genetic Algorithm II (NSGA-II) is adopted and then improved by incorporating an iterative conflict-repair strategy based on domain knowledge. The proposed approach is demonstrated by using a test case with thirty-five missions, eighteen devices and three astronauts. The results show that the established STMP model is effective, and the improved NSGA-II can successfully obtain the multi-objective optimal plans satisfying all constraints considered. Moreover, through contrast tests on solving the STMP problem, the NSGA-II shows a very competitive performance with respect to the Strength Pareto Evolutionary Algorithm II (SPEA-II) and the Multi-objective Particle Swarm Optimization (MOPSO). space station, short-term mission planning, multi-objective optimization, NSGA-II Citation:Bu H J, Zhang J, Luo Y Z, et al. Multi-objective optimization of space station short-term mission planning.

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“…Popov [2] described the space station multilevel planning framework, including the strategic planning, tactical planning, preincrement planning, and increment execution. The strategic and tactical planning support tool [3], payload planning system [4], operations preparation and planning system [5], and Japanese Experiment Module execute planning system [6] were studied and developed for the International Space Station mission planning. However, as far as we know, the detail planning models and approaches have seldom been reported in previous studies.…”

Section: Introductionmentioning

confidence: 99%