Application of the Poor Man’s Navier–Stokes Equations to Real-Time Control of Fluid Flow

Abstract

Control of fluid flow is an important, underutilized process possessing potential benefits ranging from avoidance of separation and stall on aircraft wings to reduction of friction in oil and gas pipelines to mitigation of noise from wind turbines. But the Navier-Stokes N.-S. equations, whose solutions describe such flows, consist of a system of time-dependent, multidimensional, nonlinear partial differential equations PDEs which cannot be solved in real time using current computing hardware. The poor man's Navier-Stokes PMNS equations comprise a discrete dynamical system that is algebraic-hence, easily and rapidly solved-and yet which retains many possibly all of the temporal behaviors of the PDE N.-S. system at specific spatial locations. Herein, we outline derivation of these equations and discuss their basic properties. We consider application of these equations to the control problem by adding a control force. We examine the range of behaviors that can be achieved by changing this control force and, in particular, consider controllability of this nonlinear system via numerical experiments. Moreover, we observe that the derivation leading to the PMNS equations is very general and may be applied to a wide variety of problems governed by PDEs and possibly time-delay ordinary differential equations such as, for example, models of machining processes.

Dynamics Control of the Complex Systems via Nondifferentiability

“…In this way, standard properties of complex systems such as emergence, self-organisation, and adaptability are controlled through nondifferentiability of motion curves of the sub-systems that compose the complex system. We note that general aspects of the dynamics control of the complex system are described in [36], while the concrete cases of this control are presented in [37][38][39].…”

“…Let us consider that the external perturbation applied to complex system simulates, in our opinion, one-dimension square well system. After solving the time-dependent Schrödinger-type equation according to the method described in [23] we obtain the discrete eigenvalues (37) and the eigenfunctions…”