System Maintenance Notice:
Single article purchases and IEEE account management are currently unavailable. We apologize for the inconvenience.
By Topic

Performance enhancement of a multiple model adaptive estimator

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
2 Author(s)
Maybeck, P.S. ; US Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA ; Hanlon, P.D.

We describe performance improvement techniques for a multiple model adaptive estimator (MMAE) used to detect and identify control surface and sensor failures on an unmanned flight vehicle. Initially failure identification was accomplished within 4 s of onset, but by removing the "β dominance" effects, bounding the hypothesis conditional probabilities, retuning the Kalman filters, increasing the penalty for measurement residuals, decreasing the probability smoothing, and increasing residual propagation, the identification time was reduced to 2 s.<>

Published in:

Aerospace and Electronic Systems, IEEE Transactions on  (Volume:31 ,  Issue: 4 )