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Integrating Distributed Control into High-Fidelity Aircraft Multidisciplinary Design Optimization

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: 80NSSC19C0297
Agency Tracking Number: 193405
Amount: $124,652.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A1
Solicitation Number: SBIR_19_P1
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-08-19
Award End Date (Contract End Date): 2020-02-19
Small Business Information
2225 East Bayshore Rd; #215
Palo Alto, CA 94303-3220
United States
DUNS: 172390481
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Goeric Daeninck
 (650) 530-2435
Business Contact
 Frankie Farhat
Phone: (650) 898-9585
Research Institution

Developments in aircraft technology are expanding the aircraft design space in ways that would lead to vehicles controlled by large numbers of control effectors. With large numbers of leading edge and trailing edge flaps, distributed propulsion, thrust vectoring of multiple thrusters, and other aerodynamic control effectors such as active flow control devices, the growing variety of aerodynamic, aeroservoelastic, and propulsive controllers for new configurations, if integrated into the multidisciplinary design optimization of revolutionary flight vehicles from the start of the design, may lead to major improvements in aircraft performance and to new capabilities not possible with current designs. Simultaneously, advancements in computing power, mathematical modeling of aerospace systems, and in methods of large-scale optimization promise to make it practical to integrate the synthesis of distributed control systems into the multidisciplinary design optimization of aircraft from very early in the design, covering, in addition to optimal control, all other key disciplines. The proposed work will develop methods and create computational tools that would allow integration of automatic control based on large numbers of control effectors of different types into the multidisciplinary design optimization of aircraft. Key elements of the new contribution would focus on the control of aircraft based on large numbers of control effectors from both the control perspective (how to make such control synthesis ldquo;design orientedrdquo; and practical) and from the physics modeling perspective (how to base the optimization process on mathematical models of the coupled systems that capture, with high-fidelity, their physical behavior well). Design tradeoffs that the new computational capability would lead to will be based on reliable high-fidelity modeling and associated reduced order models in all disciplines, including aerodynamics, structures, propulsion, and control system hardware.

* Information listed above is at the time of submission. *

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