Balancing Autonomous Spacecraft Activity Control with an Integrated Scheduler-Planner and Reactive Executive

Spacecraft operations demand a high level of responsiveness in dynamic environments. During operations, it is possible for unexpected events and anomalies to disrupt the mission schedule, and in the case of critical faults, even threaten the health and safety of the spacecraft. Historically, it has been the responsibility of the mission operations team on the ground to issue command sequences and monitor spacecraft health and status to ensure that long-term science, engineering, and safety goals are achieved. Red Canyon Software is building upon previous designs for on-board, layered autonomous software flight systems employing continuous planning and command sequencing. The proposed innovation increases the robustness of on-board autonomy for space vehicle operation, while at the same time offers reductions in mission development costs by leveraging off of newer flight proven software technologies. Also, developing, verifying, and validating spacecraft activity and constraint models for use with model-based autonomous planners and reactive sequencers are difficult and complex activities. For robust, on-board autonomous systems with multiple layers of software performing varying levels of constraint checking prior to activity planning and command sequencing, more than one layer will need to be configured with the same model constraints. To reduce the cost and risk of model development and use, a single, shared spacecraft domain model representation is proposed, along with development of a graphical editor that allows system engineers to easily encode domain information and that uses verification rules to detect inconsistencies or errors.

Similarly, tele-robotics on distant planets, underwater, or on different continents require autonomous real-time integration with the planning software that is driving the vehicle. During Phase I research, the Red Canyon Team will approach NASA's Aeronautics Research Mission Directorate (ARMD), JPL's Mars Rover and MSL Teams, and JPL's AI Group to determine future target missions for our proposed system.

1) Unmanned/Remotely Piloted Vehicles (UAV/RPV's). Obtained a letter of support from ADSYS Controls for this potential application. 2) Remotely Operated Underwater Vehicles (ROUV) 3) Remotely Operated Ground Vehicles (ROGV) (a.k.a. Unmanned Ground Vehicles (UGV)) 4) Commercial spacecraft avionics. In particular, the potential application of our system as the abort manager for SNC's Dream Chaser. Obtained a letter of support for this potential application.

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