Model Updating Nonlinear System Identification Toolbox

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$599,875.00
Award Year:
2006
Program:
SBIR
Phase:
Phase II
Contract:
NND06AA03C
Award Id:
72704
Agency Tracking Number:
041184
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
9489 E. Ironwood Square Drive, Scottsdale, AZ, 85258
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
182103291
Principal Investigator:
Dario Baldelli
Principal Investigator
(480) 945-9988
dario@zonatech.com
Business Contact:
Darius Sarhaddi
Business Official
(480) 945-9988
darius@zonatech.com
Research Institution:
n/a
Abstract
ZONA Technology (ZONA) proposes to develop an enhanced model updating nonlinear system identification (MUNSID) methodology that utilizes flight data with state-of-the-art control oriented techniques. The MUNSID toolbox augments the current match-point solution approach using the mu-analysis method with identified nonlinear operators. The procedure calls for a high-fidelity linear aeroelastic model to be tuned quickly with available aeroelastic/aeroservoelastic flight data sets, while block-oriented models are used to highlight the underlying nonlinear structure of the dynamic system. This framework is capable of accounting for several nonlinearities including those due to aerodynamics, structures, control/actuator, and/or geometry.Specifically, this on-line Flutter/LCO predictor can be used to accurately estimate a supercritical LCO case if the global nonlinear dynamic behavior is described throughout a hardening nonlinearity, as well as a more dangerous dynamic behavior, denoted as subcritical LCO, could be developed if a global softening nonlinearity is identified. The devised MUNSID Toolbox will become the flight control engineer's "every day tool" to predict on-line Flutter/LCO phenomena. In Phase II, MUNSID will be updated with fast and computationally efficient routines for system modeling, LFT representation, identification of nonlinearity, estimation of uncertainty, and stability analysis. Deliverables include the MUNSID production software including a GUI, a libra

* information listed above is at the time of submission.

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