Past and Current Research
Robust Parametric Control Applications to Space Structures
Recent developments in robust parametric control are being studied
for their application to the problem of position control and vibration
control of a space platform including LAN-7 satellite, flexible slewing
beam, and large space structures.
This research is funded by NASA Headquarters.
Fault and Damage Detection
Structural fault/damage detection research consists of trying to
detect and isolate, if possible, fault/damage from the structures so that
the structures can perform normal operation. The methodologies investigating
here are based on the observation of behavioral changes of the structures.
These changes may be effectively monitored by detecting whether the responses
of the structures are within a predetermined response set which is described
in terms of a transfer function family.
This research is funded by NASA Headquarters.
Robotic Telescope Scheduling Problem
The Center operates four remote telescopes, they are the VU/TSU
16 inch, TSU/ASO 32 inch, SAO/TSU 30 inch, and Fairborn 10 inch telescopes.
Two more telescopes, the AST 2 meter and AIT 24 inch, are currently under
construction. All of these are robotic telescopes which are remotely controlled
from the Center located in Nashville, Tennessee. In order to achieve better
utilization of telescopes' time, we are currently developing a new state-of-art
optimal scheduling mechanism which will eventually replace the scheduler
our astronomers are presently using.
This research is funded by NASA Ames
Research Center.
Low Order and Parametrically Less Sensitive Controller Design
It is found that controllers that robustly stabilize a plant against
plant uncertainty are usually high order and extremely sensitive with respect
to controller parameter perturbations. To overcome this problem, the research
aims to develop new control design methodologies that can result a low
order controller which tolerates some degree of controller perturbations.
Structural Damage Detection
The operation of structures such as spacecraft, aircraft, ground vehicles,
and weapons systems is sensitive to damage in the structural components.
To maintain the performance and safe operation of the systems, one must
monitor the mechanical health of the structures. Recently we have developed
an approach for damage detection of structures by using only a few sensors.
The research is to develop an effective and inexpensive technology to detect
structural damage.
This research is funded by NASA Headquarters.
System Identification for Robust Control Design
Modeling a dynamic system with uncertainties and parametric changes
is an important and challenging task for researchers in system identification
and robust control communities. Recently we have developed an approach
that can precisely quantify model uncertainty via the intervals of transfer
function coefficients. The research is to develop an effective tool to
model a dynamic system with uncertainty directly from experimental data
for robust control design.
This research is funded by NASA Headquarters.
Machinery Monitoring and Diagnostics
Machinery condition monitoring and fault diagnosis are crucial
for effective maintenance in industry.
Large-Scale Control and Distributed Parameter Systems Under Stochastic
Structural perturbations
Large-scale hereditary/non-hereditary control and distributed systems under
stochastic structural perturbations is being studied.Three principal areas
of research, namely, (i) qualitative properties(Stability, convergence,
etc.), (ii) error estimation, and (iii) applications in biological, chemical
and engineering sciences are emphasized.
This research is funded by Army Research
Office .
Stable Robust Adaptive Control Using Neural Networks
The development of stable adaptive algorithms for the control of
a class of nonlinear interval plants using neural networks.
Funded by Center of Excellence in Information Systems at Tennessee State
University.
Vibration Attenuation Using Space Realizable Actuators
The development of a stable adaptive neural network controller
to dampen the vibrations of a space structure using a reciprocating mass
actuator.
Funded by Center of Excellence in Information Systems at Tennessee State
University.
Return to Systems and Controls Research Group Home
Page .