Model Predictive Control for a 2D Bluff Body Under Disturbed Flow Conditions

Muminovic, Rifet; Pfeiffer, Jens; Werner, Nico; King, Rudibert

doi:10.1007/978-3-642-11735-0_17

Cited by 3 publications

(2 citation statements)

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“…It has been shown that such a study can be used to identify coherent wake structures linked to the instantaneous Cd values (Bruneau et al 2014). Indeed forcing condition will modify the vortex structures in the wake and will contribute to Cd improvement (Brunn et al 2007, Roumeas et al 2009, Bruneau et al 2010, Muminovic et al 2010.…”

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confidence: 99%

Numerical study of flow control strategies for a simplified square back ground vehicle

2017

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Current automotive trends lead to vertical shapes in the region of the rear tailgates, which induce high aerodynamical losses at the rear wall of vehicles. It is therefore important to work on turbulent wake in order to find drag reduction solutions for the current vehicle design. This paper focuses on flow control strategies, which are designed to interact with shear layers backward from the detachment region, in order to increase pressure values in the wake of a square back bluff body. This study involves large eddy simulation results validated by experimental data. After the first section, which represents experimental validation of LES computations with and without active flow control on an Ahmed bluff body, we will present a wide range of numerical results describing several active and passive flow control solutions leading to drag reductions of up to 10%. The last part of this paper will focus on some fluid mechanisms, which could explain these aerodynamical performances.

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confidence: 99%

Numerical study of flow control strategies for a simplified square back ground vehicle

2017

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“…Exploring implementable, optimal (or suboptimal) design methodologies which can be computationally realizable in the real time and with the degree of robustness in design and implementation are of interest. Recent studies in the realm of fluid flow, see [18,19] considered the application of the model predictive control (MPC) design in the fluid flow setting. More recently flow separation and vortex shedding suppression by applying numerical methods on a two-dimensional space grid that utilizes a large scale numerical computational scheme to account for the cost function evaluation with the predictive horizon equal to the period of vortex shedding has been considered [20].…”

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confidence: 99%

Model Predictive Control of Ginzburg-Landau Equation

Izadi

Koch

Dubljević

2018

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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This work explores the realization of model predictive control (MPC) design to an important problem of vortex shedding phenomena in fluid flow. The setting of vortex shedding phenomena is represented by a Ginzburg-Landau (GL) equation model and leads to the mathematical representation given by complex infinite dimensional parabolic PDEs. The underlying GL model is considered within the boundary control setting and the modal representation is considered to obtain discrete infinite dimensional system representation which is used in the model predictive control design. The model predictive control design accounts for optimal stabilization of the unstable GL equation model, and for the naturally present input constraints and/or state constraints. The feasibility of the optimization based model predictive controller is ensured through a large enough prediction horizon. The subsequent feasibility is ensured in a disturbance free model setting. The applicability of an easily realizable discrete controller design is demonstrated using simulation with known parameters from the literature.

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