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arXiv 2201.01541math.NAcs.NAmath.DS
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不可压Navier-Stokes流问题反馈镇定的有效扩展块Arnoldi算法

An efficient extended block Arnoldi algorithm for feedback stabilization of incompressible Navier-Stokes flow problems

Mohamed Amine Hamadi, Khalide Jbilou, Ahmed Ratnani

摘要:

Navier-斯托克斯方程在不可压缩的牛顿流体(例如空气或水)的建模中是众所周知的。该方程组由于非线性项的存在而变得非常复杂,经过线性化和离散化,得到了一个由微分代数方程(DAE)描述的指数为2的广义系统。我们通过本文开发的两个主要部分首先集中在构建一个有效的算法的基础上的投影技术到一个扩展的块Krylov子空间,这适当地允许我们构建一个减少系统的原始DAE系统。其次,我们解决了基于Riccati反馈方法的线性二次型调节器(LQR)问题。这种方法使用大规模代数Riccati方程的数值解。为此,我们使用扩展的Krylov子空间方法,使我们能够将初始的大矩阵问题投影到一个低阶的问题上,通过一些直接法来解决。这些数值解用于获得将用于稳定原始系统的反馈矩阵。最后,我们提供了一些数值结果,以确认我们所提出的方法相比,其他已知的方法的性能。

英文摘要:

Navier-Stokes equations are well known in modelling of an incompressible Newtonian fluid, such as air or water. This system of equations is very complex due to the non-linearity term that characterizes it. After the linearization and the discretization parts, we get a descriptor system of index-2 described by a set of differential algebraic equations (DAEs). The two main parts we develop through this paper are focused firstly on constructing an efficient algorithm based on a projection technique onto an extended block Krylov subspace, that appropriately allows us to construct a reduced system of the original DAE system. Secondly, we solve a Linear Quadratic Regulator (LQR) problem based on a Riccati feedback approach. This approach uses numerical solutions of large-scale algebraic Riccati equations. To this end, we use the extended Krylov subspace method that allows us to project the initial large matrix problem onto a low order one that is solved by some direct methods. These numerical solutions are used to obtain a feedback matrix that will be used to stabilize the original system. We conclude by providing some numerical results to confirm the performances of our proposed method compared to other known methods.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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