Autonomous Operations System: Development and Application

Jaime A. Toro Medina, Fernando Figueroa, Kim N. Wilkins, Mark Walker, and Gerald M. Stahl
Submission Type: 
Full Paper
AttachmentSizeTimestamp
phmc_16_056.pdf1.04 MBSeptember 19, 2016 - 7:06am

Autonomous control systems provide the ability of self-governance beyond the conventional control system. As the complexity of systems increases, there is a natural drive for developing robust control systems to manage complicated and emergency operations. By closing the bridge between conventional automated systems and knowledge based self-aware systems, nominal control of operations can evolve into relying on safety critical mitigation processes to support any off-nominal behavior. Current research and development efforts lead by the Autonomous Propellant Loading (APL) project at NASA Kennedy Space Center aims to improve cryogenic propellant transfer operations by developing an automated control and health monitoring system. As an integrated system, the center aims to produce an Autonomous Operations System (AOS) capable of integrating health management operations with automated control to produce a fully autonomous system.

Publication Year: 
2016
Publication Volume: 
7
Publication Control Number: 
056
Page Count: 
11
Submission Topic Areas: 
Model-based methods for fault detection, diagnostics, and prognosis
Modeling and simulation
Software health management
Systems and platform applications
Technology maturation
Verification and validation
Submitted by: 
  
 
 
 

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