Computational tools for global aerodynamic modeling and nonlinear control

The paper details the development of computational tools for aerodynamic modeling and their use in nonlinear control analysis. We have developed a framework that allows a variety of techniques and data to be incorporated during the model development process. The primary technique for developing models uses multivariate orthogonal polynomials to extend the validity of the models into flight regimes where nonlinear effects can be pronounced. Model reduction techniques have also been used to generate models for control studies. These techniques can be used to identify parametric and structured nonlinearities of interest. We have created software for the transfer of these models to MATLAB/Simulink for control design validation and simulation. Open architecture software has been developed providing engineers the ability to integrate and automate several key steps in the design cycle. The work aims to address the critical need to obtain the simplest mathematical model which can capture the essential dynamical characteristics of air vehicles for nonlinear analyses and control system design.