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At least 1,225 records · Page 68

Space Applications of a Trusted AI Framework: Experiences and Lessons Learned

Artificial intelligence (AI), which encompasses machine learning (ML), has become a critical technology due to its well-established success in a wide array of applications. However, the proper application of AI remains a central topic of discussion in many safety-critical fields. This has limited its success in autonomous systems due to the difficulty of ensuring AI algorithms will perform as desired and that users will understand and trust how they operate. In response, there is growing demand for trustability in AI to address both the expectations and concerns regarding its use. The Aerospace Corporation (Aerospace) developed a Framework for Trusted AI (henceforth referred to as the framework) to encourage best practices for the implementation, assessment, and control of AI-based applications. It is generally applicable, being based on terms and definitions that cut across AI domains, and thus is a starting point for practitioners to tailor to their particular application. To help demonstrate how the framework can be tailored into mission assurance guidance for the space domain, Aerospace sought the involvement of the Jet Propulsion Laboratory (JPL) to engage with actual examples of AI-based space autonomy.

Kaufman, James↗

X-57 Maxwell Aircraft EMI/EMC Integration Lessons Learned

X-57 Project Need - Advance the Nation's ability to design, test, and determine airworthiness of distributed electric and aero-propulsive coupling technologies, which are a critical enabler of emerging, advanced air mobility markets. - The value of X-57 lies in advancing hte Nation's ability to design, test, and certify electric aircraft, which will enable entirely new markets - The Mod II flight test program is a pathfinder for the experimental propulsion system performance and reliability to reduce the risk in the X-57 configuration.

Heather Maliska↗

Lessons Learned on Mega-Constellation Deployments and Impact to Space Domain Awareness

The breakneck expansion of multi-payload launches in low Earth orbit (LEO) has seen significant escalation over the last three years in the Space Domain Awareness (SDA) enterprise. The uptick in satellite deployment frequency, gradation of mega-constellation deployments utilizing electric propulsion, and surge in metric observation density from the Space Surveillance Network (SSN) have driven major system enhancements to ensure spaceflight safety. Beginning with the launch phase, new tactics, software, and procedures have been developed over the last few years to optimize the tasking of the SSN and ensure custody of all recently launched satellites that are added to the space catalog. Ensuring appropriate tasking levels were pivotal during the satellite separation phase, which necessitated updates to the mission systems for improved delineation between clustered satellites in a short window of time. The improved incorporation of utilizing satellite owner/operator-provided ephemeris coupled with critical code improvements have revolutionized how we maintain custody of Earth orbiting objects. The exponential population growth of Low-Earth orbiting satellites have also increased the quantity of Conjunction Data Messages sent out to partners such as the Trajectory Operations Group (TOPO) in Johnson Space Center. We will discuss the need for continued collaboration between the National Aeronautics and Space Administration (NASA) and other mega-constellation satellite operators to safeguard human spaceflight operations. Lastly, we will discuss how mega-constellations are driving best practices for safe operations across the space community.

Christian Ramos↗

Lessons Learned From the Construction of a Portable Cleanroom for NASA OSIRIS-REx Mission Deintegration

NASA Johnson Space Center (JSC) Infrastructure and Astromaterials Acquisition & Curation Office completed construction and commissioning of the OSIRIS-REx (OREx) Deintegration portable cleanroom at the Utah Test and Training Range (UTTR). The new portable cleanroom was designed to receive the OREx sample return capsule from the landing point on the range to an ISO7 environment. Scientists used the portable clean-room to deintegrate the sample canister from the sample return capsule. Once separated, the sample canister was put in a container under nitrogen purge for transportation to B31 at the Johnson Space Center for astromaterial sample extraction, preliminary analysis, and long-term curation. The portable cleanroom was built by a subcontractor at their facility and then deconstructed to be transported to the remote location at UTTR. Since construction was completed in a remote location all tools and materials had to be transported from contractor site in Dallas, TX. The cleanroom was constructed within an existing facility, which provided conditioned air, electric power, and protection from the elements. Careful coordination was required between the host facility, cleanroom contractor, mission scientists, and JSC facilities and curation personnel. An existing anteroom at JSC was transported to UTTR and added to the portable cleanroom after there was concern about contamination without one for personnel entry/exit. The scientific study of organics is critical for the mission, so a stringent contamination control plan was implemented for low organics. Given these mission requirements the cleanroom construction materials were carefully selected to not hinder the scientific search for amino acids and the study of organics in the samples. The same cleanroom contractor that built the long-term astromaterial curation cleanroom back at JSC Houston, TX was selected to build the portable cleanroom and instructed to use the same materials. The cleanroom had double doors to open and allow the sample return capsule to fit into the cleanroom on its stand and be transferred to a clean stand already in the cleanroom. The portable cleanroom successfully completed its mission and the sample canister was safely deintegrated and transported to JSC under nitrogen purge.

astromaterials curation↗

Flight Experience and Lessons Learned From Biosentinel: A 6u Deep Space Cubesat

This paper reviews the flight experiences of the BioSentinel propulsion and At-titude Determination and Control System (ADCS) teams. BioSentinel, a 6U CubeSat, launched as a secondary aboard the Space Launch System (SLS) maid-en flight in November of 2022 and is now operating in an Earth trailing helio-centric orbit. The development and performance of a novel approach to gyro bias estimation in the spacecraft’s Sun safe controller is discussed in detail. Further-more, the development and in-flight experience with the spacecraft’s propulsion system is discussed. Finally, we present the development and execution of an angular momentum management approach developed in flight after a propulsion system valve failure.

BioSentinel↗

Flight Experience and Lessons Learned from BioSentinel: A 6U Deep Space CubeSat

This presentation reviews the flight experiences of the BioSentinel propulsion and At-titude Determination and Control System (ADCS) teams. BioSentinel, a 6U CubeSat, launched as a secondary aboard the Space Launch System (SLS) maid-en flight in November of 2022 and is now operating in an Earth trailing helio-centric orbit. The development and performance of a novel approach to gyro bias estimation in the spacecraft’s Sun safe controller is discussed in detail. Further-more, the development and in-flight experience with the spacecraft’s propulsion system is discussed. Finally, we present the development and execution of an angular momentum management approach developed in flight after a propulsion system valve failure.

Jesse Fusco↗

X-57 Systems Engineering Lessons Learned

The X-57 Maxwell is an electric aircraft based on a 4-passenger, twin engine Tecnam P2006T General Aviation aircraft. The X-57 project originally envisioned a straightforward integration of commercial-off-the-shelf hardware components and software into a novel configuration to demonstrate the aerodynamic and performance benefits of Distributed Electric Propulsion (DEP). The project was initially started with a high-risk venture capitalist approach under NASA’s Convergent Aeronautics Solutions (CAS) project, which led to an initial philosophy of Project Management “light” (which was then interpreted as Systems Engineering (SE) “light”). As the project matured, it was forced to transition to one with increasing SE-rigor as the project scope changed, hardware and software deficiencies were found, and the team realized the magnitude of the technical and integration challenges. In hindsight, these technical challenges came in part from an overly optimistic technology readiness assessment (TRA) at the beginning of the project, which resulted in the project assuming that little to no subsystem development would be required. The project’s approach to systems engineering evolved throughout three separate informal phases of the project as it underwent two key transitions as a result of the team wrestling with the technical challenges and resultant changing project scope. This paper discusses the assumptions, approaches, and challenges encountered from a Systems Engineering standpoint in each of the three informal phases of the X-57 project. This paper also provides recommendations on how future projects can apply Systems Engineering best practices upfront along with a realistic TRA to aid projects that find themselves with similar challenges.

Systems Engineering↗