Load-following power timeline analyses for the International Space Station

Fincannon, James; Delleur, Ann M.; Green, R.; Hojnicki, Jeffrey S.

doi:10.1109/iecec.1996.552868

Cited by 8 publications

(3 citation statements)

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“…4,5,6 For the case of the electric power system onboard the International Space Station, the planning process involves teams at three different locations as described in Ref. 6. The mission operations team develops a mission timeline that schedules vehicle activities required to complete mission objectives.…”

Section: Introductionmentioning

confidence: 99%

“…This schedule is created by humans on the ground running software tools to analyze the subsystem for which they are responsible. 4,5,6 For the case of the electric power system onboard the International Space Station, the planning process involves teams at three different locations as described in Ref. 6.…”

Section: Introductionmentioning

confidence: 99%

“…The information is sent back to the team at GRC where the power draw from each load and the solar array power output are used as inputs to the ECAPS software tool. 6 This tool then determines how much power is required to be discharged by the batteries or is available to charge, resulting in the predicted battery stateof-charge (SOC) at each time step. These data are then reviewed to ensure that the battery SOC does not violate constraints and that the power flowing through each device is within acceptable limits.…”

Section: Introductionmentioning

confidence: 99%

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An Architecture to Enable Autonomous Control of a Spacecraft

May¹,

Soeder²,

Beach³

et al. 2014

12th International Energy Conversion Engineering Conference

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Autonomy is required for manned spacecraft missions distant enough that light-time communication delays make ground-based mission control infeasible. Presently, ground controllers develop a complete schedule of power modes for all spacecraft components based on a large number of factors. The proposed architecture is an early attempt to formalize and automate this process using on-vehicle computation resources. In order to demonstrate this architecture, an autonomous electrical power system controller and vehicle Mission Manager are constructed. These two components are designed to work together in order to plan upcoming load use as well as respond to unanticipated deviations from the plan. The communication protocol was developed using "paper" simulations prior to formally encoding the messages and developing software to implement the required functionality. These software routines exchange data via TCP/IP sockets with the Mission Manager operating at NASA Ames Research Center and the autonomous power controller running at NASA Glenn Research Center. The interconnected systems are tested and shown to be effective at planning the operation of a simulated quasi-steady state spacecraft power system and responding to unexpected disturbances.

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