Optimized sensor placement using stochastic estimation for a flow over a 2D airfoil with Coanda blowing

摘要

This study investigates the optimal placement of sensors mounted over the flap of a two-dimensional (2D) airfoil equipped with Coanda jet circulation control for the purpose of flow control. The analysis is based on flow field data obtained from 2D unsteady Reynolds averaged Navier-Stokes (uRANS) simulations of a high-lift airfoil with different jet blowing intensities and actuation frequencies, characterizing different flow separation states. Linear stochastic estimation of the proper orthogonal decomposition (POD) is used to estimate the time-coefficients. The optimal sensor locations for any number of sensors configuration are then determined by minimizing the root mean squared error between the determined and the estimated time-coefficients. The results are compared for two types of sensor inputs: pressure sensors and skin-friction sensors. The results show that it is possible to determine the state of flow more accurately using fewer pressure sensors placed at optimized locations than from using the same number of skin friction sensors.