STABILITY ANALYSIS FOR A
DISSIPATIVE FEEDBACK CONTROL LAW
SUNGKWON KANG
1. Introduction
Piezo devices such as piezoceramic patches knwon as collocated rate sensor and actuators are commonly used in control of flexible struc- ture (see, e.g., [1]) and noise reduction. Recently, Ito and Kang ([4]) developed a nonlinear feedback control synthesis for regulating fluid flow using these devices. The control law is designed for driving a given fluid flow to a prescribed equilibrium state and enhancing en- ergy dissipation effects. The controlled system becomes stable while control is activated. In this paper, the two-dimensional Navier-Stokes (N-S) equations with periodic boundary conditions are employed. A sufficient condition on control distribution vectors for changing flow state is obtained. Also, energy dissipation effects (exponential stabil- ity property) of the controlled dynamics is analyzed. These results extend those of [4]. Specifically, the condition on control distribution vectors are weakened so that they can be chosen with more flexibilities.
For a convergent numerical scheme for solving the N-5 equations and computational experiments, see [3,4,5].
A control problem and a weak variational form for the N-S equations are explained briefly in Section 2. In Section 3, the well-posedness and the exponential stability properties of the controlled system are given.
Throughout this paper notations are very standard. We will use the notation I. I without any subindex for vector or operator norm. In all such cases the appropriate index for I. I will be understood from the
Received November 9, 1994.
1991 AMS Subject Classification: 49J20, 76D05, 93B52.
Key words: Control system, Navier-Stokes equations, piezo devices, exponential stability.
This research was supported by the 1994 Chosun University Research Funds
and in part by the BSRI-94-1426.
context. For a given Banach space X, X* and (', ·)x*,x denote the strong dual space of X and the dual product, respectively. If X is a Hilbert space, (-,.) is the scalar inner product.
2. Controlled dynamics
Consider a control problem for the two-dimensional N avier-Stokes equations with periodic boundary conditions. For simplicity, the period in space is chosen to be 1. Let n = (0,1) x (0,1), and let el = (1,0) and
e2= (0,1) be the canonical basis elements of R
2•The governing equations are given by
a ;: - v~u + (U' V)u + Vp = -,(t) Lbi
m1 bi · (u - ue)dx,
i=1
n
(2.1) V· u-= 0,
u(t,x+ei) = U(t, x), xER
2,t>O, u(O,x) = uo(x),
where x = (Xl,X2) E R
2,U = u(t, x) = (Ul(t,X),U2(t, x)) is the ve- locity vector, v > ° is the nondimensional viscosity, p = pet, x) is the pressure, b
i= (bil(X), bi2(X)) with V· bi = 0, 1 ::; i ::; rn, are control input vectors,
Ue= u
e (x) is a desired equilibrium velocity field, and ,(t) is the control law given by
whel."e I~(u ::- U~)12 = E;=IJn IY(Ui -: uei)1 2
dx,
.u= JUl' ~2)~ Ue =
(Ueb U e2),
U
=R
mis the control space, (2.3) gl(U,Ue) = v
2lV(u - ue)l\
g2(U, U
e )= IV(u - ue )1 2 + 0:2IB*(u - ue)I&,
0:
with 1 ::;
0: ::;2
1/1is the weight on control action, IB*(U - ue)lb- =
E::l Un bi(x) . (u(t, x) - ue(x) )dx)
2,and B* is the adjoint operator of
B which is to be defined later by equation (2.13). This ,et) drives the
given initial state u(O, .) = uo(') to the desired equilibrium state u
e (·)and enhances the energy dissipation effects of the system (2.1) (see [4]). It is a "suboptimaf' control synthesis obtained from the following nonlinear optimal control problem:
Find the optimal control,(t) E L2(0, 00; R+) that minimizes the cost functional
subject to the control system (2.1).
Here, by the suboptimal control law we mean that it contains an es- sential part of a linear optimal control law, and one of its special forms satisfies the Hamilton-Jacobi-Bellman equation arising in a nonlinear programming problem which corresponds to the above optimal control problem.
For the well-posedness and the stability analyses of the controlled system (2.1), consider the following function spaces (see [7]).
H;n(n) = {u E H,'::c(R
2) :u(x + ed = u(x), i = 1,2}, (2.4) V = {u E H~(n) x H~(n) V'. u = O},
H = {u E H~(n) x H~(n) : V'. u = O},
where the subscript p stands for "periodic." The Stokes operator A is defined by
(2.5)
for u, v E V and it is given by (2.6) Au =
-~u,due to the periodic boundary conditions. Define a bilinear form a on V x Vby
(2.7) a(u, v) = v(Au, v} h(t) t,(L b
i •udx) (L b
i •vdx).
where let) is the control law defined by equation (2.2). For any u, v, w E V, define a trilinear form
(2.8)
where Di = a~i' i = 1,2, and a bilinear continuous operator B from V x V into V* by
(2.9) (B(u, v), w)v.,v = b(u; v, w),
where V* is the dual space of V. It is easy to see that, by integration by parts,
(2.10) b(u;v, w) + b(u;w, v) = 0
for all u, v, wE V due to the periodic boundary conditions.
With the trilinear form b, the variational form of the control sys- tem (2.1) becomes
(
~
U,v) + v(Au, v) + btu; u, v)
(2.11) + ,(t) t,(L b
i •(u - ue)dx) (L b
i •vdx) = 0, v E V,
u(O) = Uo,
where u(t) = u(t, .). Here, the equilibrium state
Ue satisfies -v!:i..ue +
(u
e 'V)u
e= 0 in V*, Le., (vAu e, v) + b(ue;ue,v) = 0 for all v E V.
Thus, from equation (2.11),
(2.12) (~ (u - ue), v) + a(
U - Ue, v) + b(
U - Ue;
U - Ue, v)
+ btu -
Ue;
Ue, v) + b(ue;u - ue,v) = 0 for all v E V.
It is easy to observe that the pressure term Vp in equation (2.1) is
dropped in the variational forms (2.11) and (2.12) due to the divergence
free condition.
We now define a nonlinear operator F E £(V, V*) and a control input operator 8 E £(U, H) by
(2.13) F( u) = P B( u, u) and
m
8f
=L bi(x)fi'
i=1
for all u E V and f
=(!I,h,'" ,fm) E LT, where P is the projection operator from H~(n) x H~(n) onto the state space H, B is the bilinear operator defined by equation (2.9), and b
lE H, 1 :s; i :s; m. Then the adjoint operator 8* E £(H, U) of 8 is given by
8*u = (In b
1 •udx, In b
2 •udx," . , In b
m .UdX) for all u
EH.
Thus, the variational form (2.11) is equivalent, in V*, to
(2.14)
dt u(t) d + vAu(t) + F( u( t))
= -"'((t)88*( u(t) - u
e ),u(O) =
Uo.The term -"'((t)88*(u(t) - Ue) is one of passive feedback forms arising in piezo device control mechanisms. These piezo devices have a special sensing and actuating structure. That is, control actions are given at the same locations where sensors are located.
3. Well-posedness and stability
The following well-posedness property of the controlled system (2.1) is an application of arguments in [2.7,8].
THEOREM 3.1. The control system (2.14) (equivalently, the sys- tem (2.1)) has a unique global weak solution u(·) E L
2(0, x; V) n
C/oc(O, x: H) n H
1(0, cx:: V*) provided that u(O)
= UoE H.
Proof. The bilinear form a defined equation (2.7) is continuous and V-coersive, i.e.,
ja(u,v)/:S; .M
1Iu/v /vjv
and la(u,u)1 ~
1/lul~ - v lul~
for some constant M
I> 0 and for all u, v E V. From equations (2.8) and (2.10), the trilinear form b satisfies that
b(u;v,w) + b(u;w,v) = 0 and Ib(u;w,u)1 S M
21ulH lulv Iwlv for some constant M
2> 0 and for alLu, v, w E V. Also,
Ib(u - Ue;U - ue,·) + b(u - ue;ue,·) + b(ue;u - Ue, ·)!v*
S (M
31u - UelH + M
4luelv)lu - uelv·
for some constants M
3> 0 and M
4> o. Recall that 'Y(t) E £2(0,00; R+) and b
iEH, 1 ::; i ::; m. Hence, by the standard arguments such as Lemma 8.4 in [2] or [7, p. 282], the system (2.12) (equivalently, the system (2.14)) has a unique solution U-U
eE £2(0, T; V)nC(O, T;H)n HI(O, T;V*) for arbitrary T >. o. The continuity property u -
UeE C(O, Tj H) follows from [6]. 0
The exponential stability property of the controlled system (2.1) (equivalently, the system (2.14)) follows from the next theorem.
THEOREM
3.2. Assume that the nondimensional viscosity v> 0 is sufficiently small, say, 0 < v < < 1, and that the control vectors b
iEH, 1 ::; i ::; m, and a > 0 in equations (2.1)-(2.2) are chosen so that (3.1) v IV( u - ue) 1
2+ a 18*( U -:- ue)lh ~ ,Blu - Ue IJI
for some ,B > 0 and for all
UE V. Then
(3.2) Iu(t,·) - ueOIH ::; e-Ptl:U(O,·) - Ue(·)\H.
Proof. By substituting v = u -
Uein equation (2.12), we have the following estimate.
(~ (u - ue), u - ue) + a(u - ue,U - ue) + b(U -
Ue;
U -Ue, U- ue)
+ b(U - Ue;Ue,U- u e) + b(Ue;U - Ue, U- ue) = O.
From equations (2.8) and (2.10), we have b(U - Ue;Ue,U- ue) = b(U-
Ue;U- Ue,U- ue) = b(Ue;U- Ue,U- ue) = O. Hence, by the definitions
(2.7) and (2.13) of the bilinear form a and the control input operator B, the above equation becomes
(3.3)
Since for any w > 0,
(3.4) __ (elMtlu _ u 1 d
12 )= _ewt_lu _ u 1 d
12+ w _ewtlu _ u
12
2 dt
e2 dt
e2
e ,by integrating equation (3.4) from 0 to t and from equation (3.3),
~elMt lu(t) - ue /2 - ~ lu(O) - ue
12
= i t (~1Iu -u
e /2+ ~ Iu -
Ue /2)e W8 ds
= i t (-vl\7(u - UeW -,(s)IB*(u - u
e)1
2+ ~ Iu - u e l 2 ) e lM8 ds.
By the definition (2.2) of ,et), the above equation becomes (3.5)
1 wtl
21
2'2 e u(t) - uel - '2lu(O) - uel
= - i t (J91(U, ue) + IB*(u - Ue)l292(U, ue) - ~ lu - Ue12) e lM8 ds, where 91(U, u e) and 92(U, ue) are given by equation (2.3). If the condi- tion (3.1) holds,
J91(U,U e) + IB*(u - Ue)l292(U,Ue)
~ J(,8lu -
ue12 )2+ (1 - 2va)/\7(u - ue)l2IB*(u - u e )1 2.
Since 1 :::; a :::;
21"and 0 < v << 1, 1 - 2va ~ O. Hence, from equation (3.5),
~ewtlu(t) - ue
l2 + i t (,8 - ~)Iu - uel
2e W8 ds:::; ~lu(O) - ue
l2,and, by setting w = 2,8, we have e
2,8tlu (t) - u
el
2 :::;lu(O) - u
el
2•0
REMARK
3.3. In Theorem 3.2, it is easy to see, from the Poincare inequality (see, e.g., [8, p. 117]), that such f3 > 0 exists. The condition on b
iE H in equation (3.1) is a constraint for the control distribution vectors. Also, note that the velocity field u(t,·) approaches the desired equilibrium state u
e (-)in H as t
- t 00,and the approaching rate is exponential.
REMARK
3.4. It is easy to observe, from the proof of Theorem 3.2, that the exponential stability property (3.2) holds when the nondimen- sional viscosity v satisfies 0 < v ::; t.
ACKNOWLEDGMENT. The author thanks the refrees for their valu- able comments and suggestions.
References
1.
A. v. Balakrishnan, Minimum attainable rms attitude error 'USing co-located rate sensors, Proc. 5th Annual NASA Spacecraft Control Laboratory Experi- ment (SCOLE) Workshop, Lake Arrowhead, CA. (1988), 357-367.
2. P. Constantin and C. Foias, Navier-Stokes Equations, The University of Chicago Press, Chicago, 1988.
3. K. Ito and S. Kang, A dissipative pseudo-spectral method for the two-dimensio nal Navier-Stokes equations, SIAM J. Numerical Analysis 30 (1993), 1333-1350.
4. ,
A dissipative feedback control synthesis for systems arising in fluid dynamics, SIAM J. Control and Optimization 32 (1994), 831-854.
5. ,