Premium
Discrete Adjoint based Sensitivity Analysis for Optimal Active Flow Control of High‐Lift Configurations
Author(s) -
Nemili Anil,
Özkaya Emre,
Gauger Nicolas
Publication year - 2013
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201310169
Subject(s) - reynolds averaged navier–stokes equations , solver , lift (data mining) , adjoint equation , aerodynamics , flow control (data) , control theory (sociology) , sensitivity (control systems) , lift coefficient , optimal control , computational fluid dynamics , mathematics , flow separation , computer science , mathematical optimization , mechanics , engineering , physics , control (management) , mathematical analysis , turbulence , boundary layer , reynolds number , computer network , artificial intelligence , electronic engineering , data mining , differential equation
Blowing and suction type of active flow control techniques can be used to delay the flow separation on the flap and to enhance the aerodynamic performance of high‐lift configurations. Effective separation control and maximum enhancement in the mean lift coefficient are achieved by finding the optimal actuation parameters. The optimal set of actuation parameters can be obtained by combining the gradient based algorithms with discrete adjoints. In the present work, an unsteady discrete adjoint incompressible RANS solver is developed for the optimal active separation control. The adjoint solver is applied to the test case of active flow control on the flap of a 2 D high‐lift configuration. Sensitivity gradients are presented to demonstrate the accuracy of unsteady adjoint RANS solver. (© 2013 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)