Pilot-in-the-Loop Assessment of Neurally Augmented Dynamic Inversion Based Fault Tolerant Control Laws in a Motion-Based Flight Simulator

2008 ◽  
Author(s):  
Girish Sagoo ◽  
Srikanth Gururajan ◽  
Marcello Napolitano ◽  
Mario Perhinschi ◽  
Yu Gu ◽  
...  
Keyword(s):  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Flight Simulator ◽  
Dynamic Inversion ◽  
Control Laws

scholarly journals Sliding mode methods for fault detection and fault tolerant control with application to aerospace systems

2012 ◽  
Vol 22 (1) ◽  
pp. 109-124 ◽  
Author(s):  
Christopher Edwards ◽  
Halim Alwi ◽  
Chee Tan
Keyword(s):  
Fault Detection ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Fault Tolerant Control ◽  
Flight Simulator ◽  
Signal Estimation ◽  
Control Scheme ◽  
Aerospace Systems ◽  
Strong Robustness ◽  
Control Injection

Sliding mode methods for fault detection and fault tolerant control with application to aerospace systemsSliding mode methods have been historically studied because of their strong robustness properties with regard to a certain class of uncertainty, achieved by employing nonlinear control/injection signals to force the system trajectories to attain in finite time a motion along a surface in the state-space. This paper will consider how these ideas can be exploited for fault detection (specifically fault signal estimation) and subsequently fault tolerant control. It will also describe applications of these ideas to aerospace systems, including piloted flight simulator results associated with the GARTEUR AG16 Action Group on Fault Tolerant Control. The results demonstrate a successful real-time implementation of the proposed fault tolerant control scheme on a motion flight simulator configured to represent the post-failure EL-AL aircraft.

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