Session
Session VIII: Ground Systems - Enterprise
Location
Salt Palace Convention Center, Salt Lake City, UT
Abstract
As the space industry experiences unprecedented growth in SmallSat constellation deployments, traditional mission control approaches face significant scalability and efficiency challenges. This paper presents a novel framework that integrates three cutting-edge technologies to revolutionize satellite mission operations: Cognitive Space’s CNTIENT.Optimize AI-powered decision engine, Yamcs open-source mission control software, and the Amazon Web Services (AWS) Cloud Mission Operations Center (CMOC) solution. As a representative simulation benchmark, the paper demonstrates the framework’s capabilities through mission simulations of the Cyclone Global Navigation Satellite System (CYGNSS) SmallSat constellation. The integration leverages CNTIENT.Optimize’s advanced AI algorithms to automate complex scheduling decisions across proliferating homogenous or heterogeneous satellite constellations, transforming human operators’ roles from tactical to strategic oversight. This AI-driven approach significantly reduces cognitive burden while improving system yield and response times. The solution’s GraphQL API and webhook capabilities enable seamless integration with other mission-critical systems. Yamcs provides the foundational mission control infrastructure, offering flexible, open-source components that support various spacecraft operations, including translating the mission planning schedules from CNTIENT.Optimize into CCSDS-formatted satellite commands. Its extensive HTTP API, Python client, and web application capabilities facilitate easy integration and customization, while its modular architecture enables scalable deployment across diverse mission requirements. The AWS CMOC is a cloud-native platform that also provides a suite of commercial and open-source applications, such as CNTIENT.Optimize and Yamcs, that users can quickly select and configure for mission operations. As a cloud-native platform, it eliminates the need for traditional on-premises infrastructure while ensuring high availability and security. This architecture enables rapid scaling to meet growing SmallSat constellation demands and seamlessly integrates with existing applications via HTTP, REST, WebSocket, and GraphQL APIs.This paper presents implementation details, performance metrics, and mission operations scenarios for a simulated version of the CYGNSS constellation, illustrating how this integrated solution addresses the growing complexity of modern satellite operations while providing a scalable foundation for future SmallSat missions.
Document Type
Event
Modernizing SmallSat Mission Operations: Integrating AI-Driven Optimization With Cloud-Native Control Systems
Salt Palace Convention Center, Salt Lake City, UT
As the space industry experiences unprecedented growth in SmallSat constellation deployments, traditional mission control approaches face significant scalability and efficiency challenges. This paper presents a novel framework that integrates three cutting-edge technologies to revolutionize satellite mission operations: Cognitive Space’s CNTIENT.Optimize AI-powered decision engine, Yamcs open-source mission control software, and the Amazon Web Services (AWS) Cloud Mission Operations Center (CMOC) solution. As a representative simulation benchmark, the paper demonstrates the framework’s capabilities through mission simulations of the Cyclone Global Navigation Satellite System (CYGNSS) SmallSat constellation. The integration leverages CNTIENT.Optimize’s advanced AI algorithms to automate complex scheduling decisions across proliferating homogenous or heterogeneous satellite constellations, transforming human operators’ roles from tactical to strategic oversight. This AI-driven approach significantly reduces cognitive burden while improving system yield and response times. The solution’s GraphQL API and webhook capabilities enable seamless integration with other mission-critical systems. Yamcs provides the foundational mission control infrastructure, offering flexible, open-source components that support various spacecraft operations, including translating the mission planning schedules from CNTIENT.Optimize into CCSDS-formatted satellite commands. Its extensive HTTP API, Python client, and web application capabilities facilitate easy integration and customization, while its modular architecture enables scalable deployment across diverse mission requirements. The AWS CMOC is a cloud-native platform that also provides a suite of commercial and open-source applications, such as CNTIENT.Optimize and Yamcs, that users can quickly select and configure for mission operations. As a cloud-native platform, it eliminates the need for traditional on-premises infrastructure while ensuring high availability and security. This architecture enables rapid scaling to meet growing SmallSat constellation demands and seamlessly integrates with existing applications via HTTP, REST, WebSocket, and GraphQL APIs.This paper presents implementation details, performance metrics, and mission operations scenarios for a simulated version of the CYGNSS constellation, illustrating how this integrated solution addresses the growing complexity of modern satellite operations while providing a scalable foundation for future SmallSat missions.
