Kimoon Lee, University of Science and Technology (UST); Dongjin Kim, University of Science and Technology (UST); Seonho Lee, Korea Aerospace Research Institute (KARI)
Keywords: Software design, Mission scheduling, Small satellite constellation, Earth observation
Abstract:
The advent of small satellite constellations heralds a new era in space operations, demanding innovative solutions for mission scheduling. According to South Korea’s Space Development Promotion Basic Plan, the country plans to launch approximately 130 satellites by 2030, the majority of which are small satellite constellations. This ambition to launch and operate its own satellite clusters has accentuated the absence of domestic commercial software for mission planning optimization. The reliance on foreign software without the option for technology transfer or collaboration has created a dependency that this paper seeks to address through the conceptual design of a new mission scheduling software. This paper introduces the conceptual design of ‘Mission Allocation & Planning Software’ (MAPS), a pioneering tool aimed at transforming the nation’s approach to satellite mission planning.
The primary objective of MAPS is to enable mission planners to efficiently determine the optimal schedule for satellite operations, considering the available satellites in the constellation and the ground stations within reach. The mission scheduler will incorporate a selection of customizable and adaptive algorithms tailored to different mission scenarios, allowing planners to adapt to a variety of objectives and constraints. The software is built upon five fundamental modules that synergize to provide a robust and user-centric experience.
The ‘User Interface Module’ is the front-end of MAPS, designed with a focus on accessibility. It allows users from diverse technical backgrounds to input critical mission parameters through an intuitive graphical user interface (GUI). This module simplifies complex satellite scheduling tasks, making the process more approachable for all users.
Central to MAPS’ architecture is the ‘Data Management Module’, which serves as the repository for all mission-related data. It ensures seamless data flow between modules, enhancing the software’s efficiency and reliability. By managing the extensive datasets involved in mission planning, this module supports the optimization process and aids in maintaining the integrity of the mission’s objectives.
Interoperability with external tools is facilitated by the ‘External Interface Module’, which allows MAPS to connect with various orbit propagation software. This flexibility is crucial for integrating MAPS into existing workflows, making it a versatile tool for mission planners who rely on different orbit analysis systems.
At the core of MAPS is the ‘MAPS Module’, where the advanced optimization algorithms reside. This module is the powerhouse of the software, employing algorithms that are adaptable to calculate the most effective mission schedules. It considers numerous constraints and objectives, ensuring that the proposed mission plans are not only feasible but also optimized for efficiency and resource utilization.
Finally, the ‘Result Visualization Module’ plays a pivotal role in presenting the optimized mission schedules in an intuitive format. It translates the complex outputs of the MAPS Module into clear, concise visual representations, such as graphs and tables. This enables users to quickly comprehend the results and make informed decisions about mission execution.
As of September 2024, the critical system design of MAPS is nearing completion, with module-specific functionalities being implemented and rigorously tested. With an ambitious target to finalize the software by the end of the year, the development team is dedicated to delivering a comprehensive solution that will elevate South Korea’s satellite operations to new heights.
The creation of MAPS is more than just a step towards self-reliance in satellite mission planning; it is a leap into the future of space operations. By bringing together an intuitive interface, robust data management, seamless external integration, adaptive optimization, and intuitive result visualization, MAPS stands poised to redefine mission scheduling for small satellite constellations.
Date of Conference: September 17-20, 2024
Track: Space Domain Awareness