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Integrated Vehicle Health and Fault Contingency Management for UAVs

  • Michael J Roemer
  • Liang Tang
Reference work entry

Abstract

This chapter presents various concepts for integrating real-time vehicle health assessment and fault contingency management technologies for unmanned air vehicles. The presented integrated vehicle health management (IVHM) and automated contingency management (ACM) system architecture is shown to support real-time, onboard health state assessment and fault management so that UAVs can enjoy greater autonomy and survivability during anomalous operating conditions. Selected real-time system identification and automated health assessment algorithms are presented that can readily identify the dynamics and performance limitations of degraded UAV systems. Additionally, a high-level mission adaptation approach is presented to estimate the safe flight operating envelope after the occurrence of faults. Reconfigurable fault-tolerant control techniques that directly utilize the identified UAV subsystem dynamic models have been developed and tested in simulation. Finally, proof-of-concept demonstrations are presented using NASA engine and aircraft dynamic models with simulated engine and actuator faults. Simulation results and remarks on future work are also presented.

Keywords

Model Predictive Control Fault Mode Actuator Fault Unmanned Aircraft System Mission Objective 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Impact Technologies, LLCRochesterUSA

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