Model Updating Nonlinear System Identification Toolbox
Small Business Information
7430 E. Stetson Drive, Suite 205, Scottsdale, AZ, 85251
AbstractZONA Technology proposes to develop an enhanced model updating nonlinear system identification (MUNSID) methodology by adopting the flight data with state-of-the-art control oriented techniques. The end product is a flight data enhanced MUNSID/ZAERO toolbox for accurate predictions of flutter and limit cycle oscillation (LCO) instabilities. The enhancement employs control oriented techniques, namely, model uncertainty, linear fractional transformation framework, mu-analysis and nonlinear operators identification, to adopt the emerging aeroelastic flight-test data. This toolbox augments the current match-point solution approach using the mu-analysis method with identified nonlinear operators. The procedure calls for ZAERO's high-fidelity linear aeroelastic model to be tuned quickly with available aeroelastic/aeroservoelastic, AE/ASE, flight data sets, while block-oriented models are used to highlight the underlying nonlinear structure of the AE/ASE system. This framework is capable of accounting for several nonlinearities including those due to aerodynamics, structures, control/actuator, and/or geometry. The toolbox will be used as the next-generation flutterometer to predict the onset of AE/ASE instabilities. Two case studies, simple and complex dynamic ASE systems, are proposed to validate and verified this advanced control-oriented concept. This enabling technology will be invaluable to the flight test community by extending the current industry modeling tools to include
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