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Watch Live: The seminars are held in the James L. Webb Auditorium at NASA Headquarters and broadcast live on NASA TV (select the "Education Channel" from drop-down box) on the date of each seminar.
Watch Later: Video podcast, windows streaming, and downloadable captioned videos are available after each seminar.
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Towards Intelligent Flight Control
Date: June 30, 2008, 11:00 a.m. to 12:30 p.m.
Presented By: Dr. K. KrishnaKumar, scientist and group lead, NASA's Ames Research Center
The objective of an intelligent controller is to achieve higher degrees
of autonomy. Desired characteristics of such a control system include
decision-making under uncertainty, fault-tolerance, learning and
adaptation, real-time and long-term performance optimization, and
adoptability across platforms.
Intelligent control as practiced today encompasses many fields from
conventional control such as optimal control, robust control, stochastic
control, linear control, and nonlinear control, to the more recent
predictive, real-time learning, and adaptive control technologies.
Over the past two decades, several innovative control architectures
utilizing the intelligent control tools have been proposed. Controllers
with higher degrees of autonomy can be deployed in aircraft (piloted and
non-piloted), spacecraft, and robotic ground and underwater vehicles.
The NextGen aircraft concepts and designs currently studied elevate the
complexity required in flight control designs. The use of intelligent
flight control architectures will enable: (a) better accommodation of
higher safety and performance needs of revolutionary aircraft designs;
and (b) faster and cheaper spiral design by eliminating costly
controller redesign for new spirals.
In this seminar several intelligent control architectures currently
being studied and developed at NASA will be presented. The architectures
include: (a) direct and hybrid adaptive control architectures; (b)
intelligent flight planning and guidance architectures; (c) data-based
optimal control architectures for jet engine combustion control; (d) an
adaptive critic-based trajectory generator for long-duration missions;
and (e) intelligent control architecture for ESTOL vehicles; and (f)
payload-directed navigation and guidance architecture.
Results from piloted and non-piloted simulation and flight test studies
will be used to highlight the benefits of Intelligent Flight Control.
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