SBIR-STTR Award

Robust Aeroservoelastic Control Utilizing Physics-Based Aerodynamic Sensing
Award last edited on: 4/24/2017

Sponsored Program
STTR
Awarding Agency
NASA : DRFC
Total Award Amount
$850,000
Award Phase
2
Solicitation Topic Code
T2.01
Principal Investigator
Arun S Mangalam

Company Information

TAO Systems Inc (AKA: TAO of Systems Integration Inc)

1100 Exploration Way
Hampton, VA 23666
   (757) 220-5040
   info@taosystem.com
   www.taosystem.com

Research Institution

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Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2011
Phase I Amount
$100,000
New aircraft designs depend on an integrated active approach to flight control, flutter suppression and structural mode attenuation to meet desired handling quality performance and gust load alleviation. Tao Systems will team with Professor Gary Balas at the University of Minnesota to (1) develop a robust controller that demonstrates improved aerostructural performance over the state-of-the-art by utilizing a novel aerodynamic load sensor, and (2) provide a robust linear parameter varying controller that (a) requires no ad hoc methods of gain-scheduling, (b) provides robustness guarantees that more traditional methods do not offer, and (c) allows for explicit rate bounds enabling less conservative, higher performing controller designs. The benefits include improvement of aerodynamic and structural efficiency using robust aeroservoelastic control methods over a range of flight speeds, in the presence of significant turbulence.

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2012
Phase II Amount
$750,000
New aircraft designs depend on an integrated active approach to flight control, flutter suppression and structural mode attenuation to meet desired handling quality performance and gust load alleviation. Tao Systems will team with Professor Gary Balas at the University of Minnesota to (1) develop a robust controller that demonstrates improved aerostructural performance over current state-of-the-art techniques by utilizing a novel aerodynamic load sensor, and (2) provide a robust linear parameter varying controller that (a) requires no ad hoc methods of gain-scheduling, (b) provides robustness guarantees that more traditional methods do not offer, and (c) allows for explicit rate bounds enabling less conservative, higher performing controller designs. The benefits include improvement of aerodynamic and structural efficiency using robust aeroservoelastic control methods over a range of flight speeds, in the presence of significant turbulence.