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Pushing the Limits by Gaining Control
Bitmead named Cymer, Inc. Professor of High Performance Dynamical Systems
Modeling and Control

Robert Bitmead |
Understand the dynamics of an engineered system, and you have the power
to increase performance. That is Robert Bitmead’s central tenet
of control theory and one he has applied most recently in his work with
the General Electric Global Research Center on an Air Force-funded project
aimed at producing a next-generation turbine jet engine controller for
the U.S. Air Force’s F-15 and F-16 planes.
He’s been developing a control system that should dramatically
increase performance, provide more rapid acceleration, require less maintenance,
and be completely reconfigurable in real-time — all without rebuilding
the engine itself.
“The traditional approach to accelerating a jet engine is to introduce
more fuel. But at some point, gunning the fuel can overheat and damage
the turbine,” explains Bitmead. “So, engineers have set conservative
guidelines on how much fuel can be added. We've created a dynamic feedback
control system which senses the current condition of the engine, feeds
that information into a mathematical model for the optimal performance
of the engine, and then adjusts the release of fuel accordingly.”
Bitmead is confident that once this dynamic feedback system is introduced,
jet engines will perform better, last longer and require less extensive
maintenance. “You can make adjustments as you go along. When more
power and acceleration are needed, the constraints can be modified. If
you find that a compressor is not working as efficiently as it should,
maybe because it has not been overhauled for a while, but the turbine
is running very efficiently, you might operate in a different ratio by
driving the turbine harder and relaxing the compressor a little. These
decisions and modifications can be made during operation.” The bottom
line is that you have more control without extensive redesign.
Bitmead says his dynamic feedback control system can be applied to a
variety of engine types, and the theories behind it can even be used in
other industries such as telecommunications, where it can manage network
congestion.
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