DocumentCode
504435
Title
MPC of 2D channel flow via staggered grid
Author
Kongviwattanakul, Sompach ; Kashima, Kenji ; Imura, Jun-ichi
Author_Institution
Dept. of Mech. & Environ. Inf., Tokyo Inst. of Technol., Tokyo, Japan
fYear
2009
fDate
18-21 Aug. 2009
Firstpage
2144
Lastpage
2149
Abstract
This paper discusses the performance of two different formulations of Model Predictive Control (MPC) over the problem of 2D incompressible channel flow control. The objectives are to compare performance index of both formulations in term of computational load on complex system, and be able to solve the problem of channel flow, which control inputs are applied at both top and bottom walls. The flow dynamics are represented using Navier-Stokes equations and linearized to the equilibrium Poiseuille flow profile. Discretization is then implemented using finite difference methods upon the setting of staggered grid. The simulation results show the performance of both formulations of MPC on stabilizing unstable flow into equilibrium flow profile, and the relationship between computational load and problem size for both formulations.
Keywords
Navier-Stokes equations; Poiseuille flow; channel flow; computational fluid dynamics; finite difference methods; flow control; flow instability; flow simulation; predictive control; 2D incompressible channel flow control; bottom wall input control; complex system; computational load; discretization; equilibrium Poiseuille flow profile; equilibrium flow profile; finite difference methods; flow dynamics; flow simulation; flow stabilization; linearized Navier-Stokes equations; model predictive control; performance index; problem size; staggered grid; top wall input control; unstable flow; Automatic control; Control systems; Electronic mail; Fluid flow control; Informatics; Navier-Stokes equations; Optimal control; Performance analysis; Predictive control; Predictive models; 2D Channel Flow Control; Model Predictive Control; Navier-Stokes; Staggered Grid;
fLanguage
English
Publisher
ieee
Conference_Titel
ICCAS-SICE, 2009
Conference_Location
Fukuoka
Print_ISBN
978-4-907764-34-0
Electronic_ISBN
978-4-907764-33-3
Type
conf
Filename
5333342
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