Control of the NASA Langley 16-foot transonic tunnel with the self-organizing feature map
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Control of the NASA Langley 16-foot transonic tunnel with the self-organizing feature map

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Published by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC, Springfield, Va .
Written in English

Subjects:

  • Transonic wind tunnels.,
  • Models.,
  • Technologies.,
  • Sequential control.

Book details:

Edition Notes

Statementby Mark A. Motter.
Series[NASA contractor report] -- 206722., NASA contractor report -- NASA CR-206722.
ContributionsUnited States. National Aeronautics and Space Administration.
The Physical Object
FormatMicroform
Pagination1 v.
ID Numbers
Open LibraryOL17702225M

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A predictive, multiple model control strategy is developed based on an ensemble of local linear models of the nonlinear system dynamics for a transonic wind tunnel. The local linear models are estimated directly from the weights of a self organizing feature map (SOFM). Local linear modeling of nonlinear autonomous systems with the SOFM is extended to a control framework where the modeled Cited by: 2. Control of the NASA Langley Foot Transonic Tunnel with the Self-Organizing Map Mark A. Motter Flight Dynamics and Control Division NASA Langley Research Center Hampton, VA @ Abstract A predictive, multiple model control strategy is developed based on an ensemble of local linear models of the nonlinear. Control of the NASA Langley foot transonic tunnel with the self-organizing feature map. By Mark A. Motter. Abstract Self-organizing systems (lcsh), Transonic wind tunnels (lcsh), Electrical and Computer Engineering thesis, Ph Author: Mark A. Motter. Control of the NASA Langley Foot Transonic Tunnel with the Self-Organizing Feature Map. By Mark A. Motter. Abstract. A predictive, multiple model control strategy is developed based on an ensemble of local linear models of the nonlinear system dynamics for a transonic wind tunnel. The local linear models are estimated directly from the Author: Mark A. Motter.

NASA's Foot Transonic Tunnel Leaves Powerful Legacy When the massive fan blades stop turning for the last time on Septem , the steel walls of the Foot Transonic Tunnel will continue to reverberate with an incredible history of aeronautical research spanning over six decades.   Testing this new design in the Foot HST, Langley engineers found that it allowed for transonic speeds (up to and beyond the speed of sound, Mach 1, approximately mph at sea level). Retrofitted with a new slotted test section throat and re-powered to 60, hp, the facility was re-designated the Foot Transonic Tunnel (TT) in December Center: Langley Research Center.   The Foot Transonic Dynamics Tunnel (TDT) was not always ft. When constructed in , the tunnel was known as the Foot Pressure Tunnel. The tunnel was made form approximately 5, tons of steel. An 8,horsepower electric motor and a Center: Langley Research Center. 16 Foot Transonic Tunnel Rehabilitation by NASA/Langley Research Center (NASA-LaRC) Publication date 3/31/ Foot fan blades with Grady McCoy. These laminated wooden fan blades move the air to provide the wind (test medium) of the wind tunnel.

Get this from a library! Control of the NASA Langley foot transonic tunnel with the self-organizing feature map. [Mark A Motter; United States. National Aeronautics and Space Administration.]. NASA Langley to shut down transonic wind tunnel. As part of a national initiative to optimize government-owned wind tunnels, NASA's Langley Research Center will shut down its Foot Transonic Tunnel and transition work to other facilities. The tunnel is scheduled to be put in mothball status Septem Control of the NASA Langley foot Transonic Tunne; with the Self-Organizing Feature Map, doctoral diss by Mark A. Motter, CONTROL OF THE NASA LANGLEY FOOT TRANSONIC TUNNEL WITH THE SELF-ORGANIZING FEATURE MAP By MARK A. MOTTER May Chairman: Dr. Jose C. Principe Major Department: Electrical and Computer Engineering A predictive, multiple model control strategy is developed based on an ensemble of local linear models of the nonlinear system dynamics for a.