Preliminary constellation sizing and optimization with spacestudio.

In the domain of Earth observation andtelecommunication, the successful launch of the first generation of satellitesmarks a significant milestone for any new project or company. Now, attentionturns towards the next phase: the GEN2 generation constellation. Systemengineers and mission analysts, previously involved in the initial iteration,are now dedicated to refining, and optimizing this next evolution.

Central tothis task is the alignment with key performance indicators (KPIs) crucial forbusiness success. Every decision and refinement in the GEN2 constellation aremeticulously designed to ensure these KPIs are not just met but exceeded.

At this early stage of the project (Preliminary Design Phase or PDR), design options are open and engineers outline mission requirements for eachsubsystem setting the stage for a solid design to take shape.While specifics in subsystems are yet to be defined, most likely depending onGEN1’s performances, the collective dedication remains to outline the missionrequirements for each system so the design of GEN2 can move forward.

The problem

• Tuning constellationsimulation parameters can be complex, usually requiring specialized expertise,so even minor adjustments can be time consuming.
• Current tools, whilepowerful, can introduce complexity prematurely, overwhelming users with anavalanche of unnecessary details.

Introducing spacestudio:

• Retrieve constellationmetrics & perform side-by-side comparisons in a few clicks, allowing usersto make informed design decisions, quickly, while respecting missionrequirements

• Required inputs alignwith the level of detail necessary for this phase of analysis.
• Simple user interface& workflows tailored for iterative constellation design.

How it works

Spacestudio offers two"calculations" to handle constellation optimization based on revisitmetrics.

• Performance analysis allowsusers to manually set up their first guess for the constellation to rapidlyunderstand the feasibility of their mission use case.
• (EGA) Optimizationmission where the user will get the best possible configuration to improvethose metrics.

Conclusion

• By streamlining high-level design iterations and parameter adjustments, engineers can save valuable time and effort designing your next generation of constellation.
• With more efficient tools and workflows, teams can arrive at optimal solutions that meet mission requirements with greater ease and effectiveness, maximizing efficiency while minimizing workload.

Reach out to discover how spacestudio can help you size and optimize your next generation of constellation.