NASA STTR 2014 Solicitation


PROPOSAL NUMBER: 14-1 T4.01-9909
RESEARCH SUBTOPIC TITLE: Dynamic Servoelastic (DSE) Network Control, Modeling, and Optimization
PROPOSAL TITLE: Distributed, Passivity-Based, Aeroservoelastic Control (DPASC) of Structurally Efficient Aircraft in the Presence of Gusts

NAME: Tao of Systems Integration, Inc. NAME: The Texas A&M Engineering Experiment Station
STREET: 1100 Exploration Way STREET: 400 Harvey Mitchell Parkway South, Suite 300
CITY: Hampton CITY: College Station
STATE/ZIP: VA  23666 - 1339 STATE/ZIP: TX  77845 - 4375
PHONE: (757) 220-5040 PHONE: (979) 845-6733

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Arun Mangalam
1100 Exploration Way
Hampton, VA 23666 - 1339
(757) 220-5040 Extension :202

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Arun Mangalam
1100 Exploration Way
Hampton, VA 23666 - 1339
(757) 220-5040 Extension :202

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 1
End: 4

Technology Available (TAV) Subtopics
Dynamic Servoelastic (DSE) Network Control, Modeling, and Optimization is a Technology Available (TAV) subtopic that includes NASA Intellectual Property (IP). Do you plan to use the NASA IP under the award?

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
Control of extremely lightweight, long endurance aircraft poses a challenging aeroservoelastic (ASE) problem due to significantly increased flexibility, and aerodynamic, structural, and actuator nonlinearities. To obtain the benefits of increased aerostructural efficiency, the controller needs to trim at a specified optimal shape while minimizing structural fatigue from gust disturbances. Tao Systems and Texas A&M University propose to develop a distributed, passivity-based, ASE controller (DPASC) using sectional aerodynamic and structural output-only feedback. This scalable, decentralized approach has the potential to minimize the impact of aerodynamic / structural uncertainties and control surface free-play / saturation, while guaranteeing global asymptotic stability.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The benefits of a distributed, passivity-based ASE system that we are proposing has a number of benefits: (1) addresses nonlinearities in aerodynamics, structures, and actuation, (2) increases controller robustness: reduces dependency on aerodynamic and structural uncertainties, (3) increases aerostructural efficiency, (4) enables mission persistence at a lower cost.

For example, degradation due to atmospheric effects such as moisture and fatigue caused by constant wing stresses provides significant risk over the life of a HALE-type UAV, e.g., DARPA Vulture. Longevity of components is also a major technological risk. Using extremely high aspect ratios reduces drag. The system can utilize dynamic soaring for further aerodynamic efficiency. The system can adapted for using optimal control for efficient path planning or gaining aerodynamic advantages through formation flight.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
For national security, the ability to cruise efficiently at a range of altitude, enabled by a substantial increase in cruise lift-to-drag (L/D) ratios over today's high-altitude reconnaissance aircraft, is vital, providing sustained presence and long range. Aerodynamic load/moment sensors would enable the efficient, robust active control of adaptive, lightweight wings to optimize lift distribution to maximize L/D. Cost-effectively improving the energy capture and reliability of wind turbines would help national renewable energy initiatives. A standalone aerodynamic load/moment sensor could provide output for control feedback to mitigate the turbine blade lifetime-limiting time varying loads generated by the ambient wind.

TECHNOLOGY TAXONOMY MAPPING (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.)
Air Transportation & Safety
Algorithms/Control Software & Systems (see also Autonomous Systems)
Attitude Determination & Control
Autonomous Control (see also Control & Monitoring)
Data Acquisition (see also Sensors)
Data Processing
Models & Simulations (see also Testing & Evaluation)
Relative Navigation (Interception, Docking, Formation Flying; see also Control & Monitoring; Planetary Navigation, Tracking, & Telemetry)
Vehicles (see also Autonomous Systems)

Form Generated on 04-23-14 17:37