Performance validation of the Caltech ducted-fan at a fixed operating point

Abstract

Using measured input and output data and a priori assumptions on a nominal model and a linear fractional transformation uncertainty structure, a family of model validating uncertainty sets are constructed for robust control analysis and design of the Caltech ducted fan. Based on an identified uncertainty set, the predicted closed loop performance for any given controller is compared to the directly measured performance. The paper reports current status of the ongoing work at Caltech.