Airborne Electro-Mechanical Actuator Test Stand for Development of Prognostic Health Management Systems

Edward Balaban, Abhinav Saxena, Sriram Narasimhan, Indranil Roychoudhury, Kai Goebel, and Michael Koopmans
Submission Type: 
Full Paper
Supporting Agencies (optional): 
NASA
AttachmentSizeTimestamp
phmc_10_023.pdf904.64 KBOctober 8, 2010 - 11:46am

With the advent of the next generation of aerospace systems equipped with fly-by-wire controls, electro-mechanical actuators (EMA) are quickly becoming components critical to safety of aerospace vehicles. Being relatively new to the field, however, EMA lack the knowledge base compared to what is accumulated for the more traditional actuator types, especially when it comes to fault detection and prognosis. Scarcity of health monitoring data from fielded systems and prohibitive costs of carrying out real flight tests create the need to build high-fidelity system models and design affordable but realistic experimental setups. The objective of this work is to build an EMA test stand that, unlike current laboratory stands typically weighing in excess of one metric ton, is portable enough to be easily placed aboard a wide variety of aircraft. The stand allows testing EMA fault detection and prognosis technologies in flight environment, thus substantially increasing their technology readiness level – all without the expense of dedicated flights, as the stand is designed to function as a non-intrusive secondary payload. No aircraft modifications are required and data can be collected during any available flight opportunity: pilot currency flights, ferry flights, or flights dedicated to other experiments. The stand is currently equipped with a prototype version of NASA Ames developed prognostic health management system with models aimed at detecting and tracking several fault types. At this point the team has completed two test flights of the stand on US Air Force C-17 aircraft and more experiments, both laboratory and airborne, are planned for the coming months.

Publication Control Number: 
023
Submission Keywords: 
Electromechanical actuator
diagnosis
prognosis
EMA
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