Lecture 5: April 28, 2009
Tracking Filters for Estimation of Jet Engine Deterioration
Dr. Shreeder Adibhatla, GE Infrastructure
Bio
Dr. Shreeder Adibhatla is a Principal Engineer in
GE Aviation’s Controls Center of Excellence where he oversees
advanced control and diagnostics technologies for military and
commercial product engines. He obtained his BS in ME from the
IIT in 1976, and Ph.D. in ME from the University of Kentucky in 1982.
He joined the advanced controls group at GE Aircraft Engines
in 1985. He was responsible for control and diagnostics of
multiple engine lines and managed several groups in GE Engines
before accepting his current position.
Abstract
Tracking Filters are on-line parameter estimation algorithms.
This lecture will introduce the parameter estimation
problem for aircraft engines and describe a few techniques
for solving the problem, including classical observers
and Kalman Filters. Parameter estimation is an important
part of engine Prognostics and Health Management (PHM),
since the information obtained can be used to diagnose
and isolate changes in gas-path component health due to
deterioration and damage. These tracking filters, which
are increasingly being used in commercial and military
jet engines, will then be illustrated by means of a small
benchmark problem involving more parameters to estimate
than sensors, which is the typical situation.
Lecture Notes
Lecture 5 Charts in PDF