Computational Methods for Feedback Flow Controllers in Aerodynamic Applications

Clear Science Corp. and the University of California at Los Angeles propose to develop a versatile and comprehensive computational toolbox for designing feedback flow controllers in aerodynamic applications. Target objectives include separation control to manage lift and drag, control of transition to turbulence, turbulence control to reduce skin friction drag, increase mixing, or reduce heat transfer, and control of acoustical output (noise suppression). The software is designed to meet important military objectives including greater stealth, agility, and mission scope in aircraft and weapon systems. The toolbox will be modular with interchangeable low-dimensional models and controller designs. During Phase I, our team has developed and demonstrated the technical merit and feasibility of four major components of the flow control system: the plant estimator, the performance output algorithm, the measurement algorithm, and the compensator. Phase II objectives include controller-in-the-loop CFD simulations that demonstrate robust, closed-loop control of aerodynamic forces on an airfoil using the system components developed in Phase I, advanced algorithms to extend control effectiveness over a wide range of flow conditions, and a toolbox framework of interfaces with CFD codes, model and controller libraries, and interfaces with control design software.