For a satellite in orbit all resources are sparse and the most critical resource of all is power. It is therefore crucial to have detailed knowledge on how much power is available for an energy harvesting satellite in orbit at every time – especially when in eclipse, where it draws its power from onboard batteries. This os especially true for the power hungry demonstration CubeSat GomX-3 of our SENSATION industrial partner GomSpace.
The GomX-3 CubeSat
GomX-3 is a 3 kg nanosatellite designed, delivered, and operated by Danish sector leader GomSpace in collaboration with the European Space Agency (ESA). It has been launched from Japan aboard the HTV-5 on August 19, 2015 and has made its way to the International Space Station (ISS). It has been deployed into orbit on October 5, 2015. GomX-3 has carried a vairety of instruments capable of the following functions:
- Agile 3D attitude control with 1 degree pointing accuracy supporting target tracking and up to 7 attitude changes per orbit;
- 3Mbps downlink to ESA ground station in Kourou or to CNES in Toulouse using a new high-rate X-Band transmitter – showcasing the in-space adequacy of the device;
- SATCOM spot-beam characterization using the Software Defined Radio payload;
- World-wide acquisition of aircraft signals by reception of the so-called ADS-B transponder signal.
In addition, GomX-3 can receive in-space software updates from – and allows for telemetry data downlink to the GomSpace base station in Aalborg, Denmark via a software defined radio module.
In order to maximise utilisation of the CubeSat’s capabilities in space, a detailed understanding of its energy budget is mission-critical. A number of different circumstances make this issue non-trivial. While GomX-3 has solar panels on board for energy harvesting, the satellite passes into eclipse each orbit. Thus power is not used immediately as it is generated. Surplus energy is instead stored in a Lithium-ion battery pack and can thus be used to continue operation during eclipse periods.
Due to space and weight restrictions, the battery pack cannot be arbitrarily large – on the contrary, it is one of the heaviest onboard components and must therefore be relatively small. An operator of such a spacecraft is thus faced with a highly complex task when having to manually plan and command in-orbit operations, constantly balancing power and data budgets.
The POWVER research agenda has been to automatise the planning and commanding process, with the goal to maximize instrument utilization while minimizing battery depletion risk. This has required several technical innovations, including
- a faithful model of the energy stored inside the battery at any time;
- a model of the possible GOMX-3 behaviour while in operation;
- a procedure to perform optimal battery-aware scheduling.
Faithful Modelling of Electrical Energy Storage
A model that captures the evolution of the stored charge of a modern battery (including the one built into GomX-3) needs to
- be able to express discharging as well as replenishing of the stored charge;
- capture the most important non-linear effects exhibited during charging and discharging;
- account for observable variances in actual performance of batteries in a stochastic manner; and
- properly represent behavior close to depletion and to maximum charge level.
For this purpose, the POWVER scientists have developed a rigorous representation of the battery behavior. Their stochastic kinetic battery model integrates capacity limits and provides means to quantify the accumulated risk of battery depletion under a probabilistic, timed workload process with noise.
To accurately model the interplay of the power-relevant aspects of GomX-3, the POWVER team derives a network of priced timed automata (PTA) from the information, data and requirements provided by GomSpace engineers. The main component, the battery, is treated with simple linear dynamics due to the limitations of the PTA formalism. The structure of the automata and the cost annotations are kept purposely modular and generic so as to enable to quickly react to new or altering requirements or conveniently exchange entire components or optimization criteria.
The automata network serves as basis for generating executable schedules for GomX-3. These are computed by the tool UPPAAL CORA, which performs a cost-optimal reachability analysis on the given network. The resulting schedules are however potentially too optimistic due to the linear battery dynamics used in this step. Therefore an additional validation step uses the more realistic stochastic kinetic battery model. This two-step scheduling pipeline provides executable schedules which maximize instrument utilization, and estimates their risk of inducing battery depletion.
To demonstrate the feasibility of our method, a multitude of POWVER-generated schedules were uplinked to – and successfully executed by GomX-3 in orbit, and eventually presented to the international astronautical community.