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(1)

in an Atomic Force Microscope

RalphC. Smith

CenterforResearchinScientic Computation

Department ofMathematics

North Carolina StateUniversity

Raleigh, NC 27695-8205

[email protected]

MurtiSalapaka

ElectricalEngineeringDepartment

Iowa StateUniversity

Ames, IA 50011

[email protected]

Abstract

This paper addresses the development of distributed models for the piezoceramic positioning

mechanismsemployed incurrent atomic force microscope designs. Two common congurations for

positioning mechanisms employstacked actuators utilizing d

33

motion and piezoceramic shells

uti-lizingad

31

motion. In bothcases, therelationbetweeninputvoltages andgenerated displacements

exhibits hysteresis and constitutive nonlinearities due to the ferroelectric nature of piezoceramic

materials. Model development for these nanopositioners is considered in two steps. In the rst,

nonlinear constitutive relations that incorporate the hysteresis are developed throughenergy

prin-ciples. In the second step, system models based on these constitutive equations are developed for

thestacked actuator and piezoceramicshell. An abstract formulation encompassingboth modelsis

developedandusedto establishwell-posednesscriteria. Numericalapproximationtechniquesforthe

twomodelsaresummarizedandtheaccuracyofthestackedactuatormodelisdemonstratedthrough

(2)

Atomicforcemicroscopes(AFM) providethecapabilityforobtaining angstrom-resolution

measure-ments of both organic and inorganic samples by monitoring forces between the tip of a

micro-cantilever employed in the microscope and atoms in the sample. To illustrate the principles and

componentsof a prototypical AFM, considerthedesigndepicted inFigure 1. The sampleis moved

both laterally and vertically beneath a highly exible micro-cantilever by either a stage forced by

a stacked piezoceramic(PZT) actuator ordirectly by a PZT shell. To ascertain the 3-D structure

of the compound, the sample is moved along an x-y grid usingthe lateralpositioning mechanisms.

As the sample moves, displacements in the cantilever tip are monitored using the photodiode and

correspondingforcesaredeterminedviaHooke's law. Thesampleisthendisplacedinthez-direction

to maintain constant forceswith the displacement determined by a feedback law. A complete scan

in this manner provides a surface image of the compound. Details regarding the construction and

applications utilizing atomic force microscopes and scanning tunnelingmicroscopes (STM) can be

foundin[10 ].

ThedegreeofaccuracytowhichthePZTelementscanlaterallyandverticallypositionthesample

iscrucialtotheresolutionofthenalimages. Twocommonpositioningmechanismsemploystacked

actuatorsutilizingd

33

motionandpiezoceramicshellsutilizingd

31

motioninresponsetoinputelds

or voltages (see Figure 2). The stacked actuators oer the advantage of simple construction while

generatingtheforcesnecessaryforlargescanpositioning. Theshell congurationsarebetter suited

for isolation from exogenous vibrations and small stage construction. While both congurations

providehighlyrepeatableandaccuratesetpointplacement,therelationsbetweeninputvoltagesand

generatedstrainsordisplacementsexhibithysteresis andconstitutivenonlinearitiesasillustratedin

Figure3withdatacollectedfromanAFMemployingastackedactuator. Atlowfrequencies,feedback

mechanismscan adequately attenuate these eects thus leading to the success of the technologies.

However, at the higher frequencies required for current and future applications, two phenomena

degradetheaccuracy achieved bypresentcontroltechniques: (i)Thepiezoceramicmaterialsexhibit

increasedhysteresisand(ii)Thenoisetodataratioincreasestothepointwherefeedbackmechanisms

areamplifyingnoiseratherthan attenuatingunmodeled dynamics.

Piezoceramic

Positioner

(x,y,z)

Sample

Micro-cantilever

Laser

Photodiode

z

y

x

Law

Feedback

z

x

Micro-cantilever

(a) (b)

Figure 1: (a) Conguration of a prototypical AFM; (b) Surface image determined after one lateral

(3)

(a)

(b)

z actuator

x-y actuator

Figure2: Actuatorcongurationsemployed forpositioninginanatomicforcemicroscope. (a)

Rect-angularstacked actuator; (b)Cylindricaltransducer.

Oneapproachbeingconsideredto addresstheseproblemsandextendthetechnologyto high

fre-quencyand broadbandregimesistheincorporationoffeedforwardcontrollers utilizingmodel-based

inverses to compensate fornonlinearities and hysteresis inherent to the positioning mechanisms. A

crucialaspect ofthese controldesigns is thedevelopment of modelsforthepositioning mechanisms

which incorporate the nonlinear dynamics butare suÆciently low-order to permit real-time

imple-mentation. To achieve thiseÆciency,bothlow-orderconstitutive modelsand reduced-order system

modelsarerequired.

In thispaper,wedevelopsystemmodelsforthestackedactuator andPZTshelldepictedin

Fig-ure2. Low-orderconstitutiverelationsaredevelopedthroughthequanticationofdomaindynamics

usingenergy principles. Thesenonlinearconstitutive relationsarethenincorporatedinclassicalrod

and shelltheory toobtainPDEmodelswithnonlinearinputs. Anabstract formwhich encompasses

bothmodelsis developedand criteria requiredformodelwell-posedness areestablished. Numerical

methods for discretizing the two modelsare summarized and theaccuracy of the stacked actuator

model isillustratedthrougha comparisonwith theexperimental dataplottedinFigure 3.

−2000

0

2000

4000

6000

8000

10000

12000

14000

−4

−2

0

2

4

6

8

x 10

−6

Electric Field (V/m)

Displacement (m)

Figure 3: Relation between the inputeld E and displacements generated bythe PZT positioning

(4)

ToestablishconstitutiverelationsforthePZTmechanisms,wemaketheassumptionthatthe

stress-strain behavior of the material is linear whereas the relation between the applied voltage V or

eld E and generated strains e exhibits hysteresis and saturation nonlinearities as illustrated in

Figure 3. Furthermore, we make the assumption that the relation between the polarization P and

strain is linear so that the hysteresis and nonlinear eects occur in the map F between the eld

and polarization. The assumptionof linear relations betweenP and eis motivated by a number of

classicalreferences(e.g., [5 ,11]) and experimentsarebeingdesignedto establishthevalidityofthis

assumption in the regimes under consideration. The nonlinearities and hysteresis in F have been

experimentallyvalidatedforanumberofPZTcompounds[19 ]andtheseexperimentshavebeenused

to evaluatetheaccuracy of various modelsforquantifyingthenonlinearhysteresismap F.

2.1 1-D Constitutive Relations

In the absence of structural damping, constitutive nonlinearities, or hysteresis, it is illustrated in

[11 ] that consideration of the elastic Gibbs free energy for piezoelectric materials yields the linear

constitutiverelations

e=s P

+P

E = b+

P

orequivalently

=c P

e c P

P

P ="

0

E+:

(1)

Here e;;P and E respectivelydenote the strain, stress, polarizationand eld while s P

and c P

=

1=s P

are thecompliance and Young's modulusat constant polarization values. Moreover, b; and

=1=("

0

) arepiezoelectricandelectriccouplingcoeÆcients,denotestheelectricsusceptibility,

and "

0

is the permittivity of free space. To express the actuator relation in (1) in terms of input

voltages V, thelinear polarizabilityrelationP ="

0

E can be invoked along withthe approximate

formulationV =Eh, whereh isthematerial thickness, to obtain

=c P

e c P

dV=h

P ="

0

E+:

Two congurations for the piezoelectric coeÆcient d = "

0

have been previously mentioned in

the context of the stacked and cylindrical actuators. The stacked actuator utilizes a d

33

eect in

which elds in the 3 direction generate displacements in the 3 direction. Alternatively, transverse

displacements in the cylindrical transducer are generated by the d

31

eect in which eldsthrough

theshell thickness generatelongitudinal(1-direction) displacements.

To incorporate internal damping, saturation nonlinearities, and hysteresis, we generalize (1) to

obtain

=c P

e+c

D _ e c

P

P(E;)

P =F(E;)

(2)

where c

D

is the Kelvin-Voigt damping parameter and F quanties the hysteresis and constitutive

nonlinearities inherent to the materials. A number of techniquesexist fordetermining appropriate

maps F includingPreisach characterizations [3 , 9 ,14 , 22 ,23 ] and domainmodelsbased on

(5)

poorlyunderstoodordiÆculttoquantify. However, thelackof anunderlyingenergyprincipleleads

tomodelsrequiringalargenumberofnonphysicalparametersfortheasymmetricresponsesarisingin

atomicforcemicroscopy. Itisalso diÆcultinthisapproachtoincorporatethefrequency-dependence

inherentto thematerials. Forthese reasons,we employdomainwall modelsto specifythemap F.

Asdetailedin[18 ,19 ],therelationbetweentheinputeldandpolarizationP isquantiedintwo

steps. In therst, Boltzmannprinciplesare employed to formulate theprobability(E) =e E=k

B T

of attainingan electrostatic energystate E = Ep wherek

B

T is theBoltzmann orkineticenergy

of the dipoles p. Under the assumption that dipoles can align onlyin thedirection of the eective

eld

E

e

(t)=E(t)+P(t)+E

(t); (3)

oroppositeto it, summation ofdipolecontributionsyieldstheIsingspinrelation

e

P

an

(E(t);P(t);(t))=P

s

tanh(E

e

(t)=a) (4)

for the anhysteretic polarization. Here P

s

denotes the saturation polarization, a is a

temperature-dependentnormalization constant, quantiescoupling eects dueto neighboringdipoles,and E

quantiestheeldcontributionsduetostress-induceddipolerotation. Theexpression(4)isderived

intheabsenceofbiaseldsandhenceyieldsasymmetriccharacterizationofcertaindomainswitching

mechanismswhich producecertainsaturation eectsand hysteresis.

To quantify asymmetric minor loops due to biases in the eld and polarization, it is necessary

to modifytheanhysteretic relationinthemannerdescribedin[17 ]. Forabias level(E

0 ;P

0

), dueto

eldand polarizationreversalat thepoint (E

1 ;P

1

), we employthemodiedanhysteretic relation

P(E;P;)= [ e

P

an (2E

0

E;2P

0

P;) (1 )ÆP

s ]+2P

0

=

P

1 +P

s

e

P

an (E

1 ;P

1

;)+P

s :

(5)

Here Æ=sign dE

dt

=1 and e

P

an

isgiven by(4).

Secondly,thereversibleandirreversibleenergiesassociatedwithdomainwallbendingand

trans-lation are quantied by determining the energy required to reorient dipoles in the presence of the

eective eld E

e

. As detailed in [18 , 19 ], for low frequencydrive regimes the resulting irreversible

and reversiblepolarizations arerespectivelygiven by

dP

irr

dt =

dE

dt

e

Æ(P

an P

irr )

kÆ (P

an P

irr )

(6)

and

P

rev

(t)=c(P

an (t) P

irr )(t):

The total polarizationis thenquantiedbythesum

P(t)=P

irr (t)+P

rev

(t): (7)

Theparametersc;k;P

s

;andaaredeterminedthrougheitherasymptoticrelationsoraleastsquares

t to data[19]whilethe parameter e

Æ =0 or1 is determined directly from eld measurements. We

note that for broadband orhigh frequency drive regimes, frequency-dependent models of the type

(6)

=c P

e+c

D _ e c

P

P(E;)

P =cP

an

(E;P;)+(1 c) Z

P

irr

0 e

Æ[P

an

(E;P;) P

irr

(E;P;)]

kÆ [P

an

(E;P;) P

irr

(E;P;)] dP

irr

(8)

which,inthefullycoupledform,areobservedtobenonlineardueto thedependenceofthe

polariza-tion on stress as quantiedbythe termE

in the eective eld. Forapplications (e.g., self-sensing

actuators) which utilize both the direct and converse piezoelectric eects, the coupling which

pro-duces the nonlinearity is important and must be retained. In purely actuator applications, such

as forthe AFMnanopositioner,one can obtainreasonable accuracy withE

=0. In thiscase, the

systemmodelresultingfrom(8)willbelinearinthestatewiththehysteresisandothernonlinearities

appearingonlyintheinputs. Finally,wenotethatwhiletheintegralformulation(8)isadvantageous

for certaintheoretical issues, theformulation (7), withP

irr

specied throughnumerical solution of

thedierentialequation (6), istypicallyemployed formaterial characterization andcontrol design.

As a prelude to establishing model well-posedness for the atomic force microscope positioning

mechanisms, we establish conditions which guarantee that the map between input elds and

gen-erated polarizations is well-dened. It is rst necessary to restrict the admissible parameter set to

guaranteethat

jkÆ (P

an P

irr )j"

0

(9)

for Æ = 1. This places a bound on the polarization curve which is reasonable from both

mathe-maticaland physicalperspectives. Secondly,wedene theset ofturningpointsofE inthemanner

speciedinDenition2.1. TheexistenceofauniquesolutiontotheconstitutivemodelforE

0is

establishedinProposition2.3. The more general case E

6=0 is lessrelevant fortheinitial analysis

of thisactuatorapplication andis notaddressed here.

Denition 2.1 Let T = ft

0 ;t

1 ;;t

n

g denote the set of critical points of E at which dE

dt

changes

sign within the interval [0;T].

Proposition 2.2 Assume that (9) is satised, E 2 C[0;T], and the partition T is specied. The

dierential equation (6) then has a unique solution on [0;T].

Proof. Equation (6)has theform

@P

irr

@t

=G(P

irr ;t)

where

G(P

irr ;t)=

dE

dt

e

Æ(P

an (t) P

irr )(t)

kÆ [P

an (t) P

irr (t)]

:

SinceÆ =1and e

Æ=0or1,itfollowsthatoneachsubinterval(t

j ;t

j+1

),Gand @G

@P

irr

arecontinuous

and boundedwith

@G

@P

irr

k

" 2

0 :

From the theoryof ordinarydierential equations(e.g., see [12 , Chapter 3]), it follows that(6) has

a unique, continuously dierentiable solution on each subinterval with well dened values at the

endpointst

j

. Hence (6)hasa uniquesolutionP

irr

(7)

P 2C[0;T]:

Proof. The result followsfrom thedenitionsof P

irr ;P

an

and P.

2.2 2-D Constitutive Relations

The1-Dconstitutiverelations(8)areappropriateformodelingthestacked actuator. However,they

must be extendedto 2-D to quantifythebehavior ofthecylindricalactuator.

Foranappliedeldwhichproducesd

31

motion,theextensionofHooke'slawto a2-Dcylindrical

domainyieldstherelations

e

x =

1

c P

(

x

)+d

31 E

e

=

1

c P

(

x )+d

31 E:

Heree

x ;

x ande

;

denotethestrainsandstressesinthelongitudinalandcircumferentialdirections

and is the Poisson ratio. The inclusion of Kelvin-Voigt damping and formulation interms of the

voltage yieldsthe linearconstitutiverelations

x =

c P

1

2 (e

x +e

)+

c

D

1

2 (e_

x +e_

)

c P

d

31

1

V

=

c P

1

2 (e

+e

x )+

c

D

1

2 (e_

+e_

x )

c P

d

31

1

V

P =d

31 +

V

h :

(10)

The model(10) isappropriate ifhysteresis andnonlinearitiesare negligible.

Forregimesinwhichit isnecessary to incorporatetheinherent hysteresis and constitutive

non-linearities, the polarization-based relation (2) is generalized to obtain the nonlinear constitutive

relations

x =

c P

1

2 (e

x +e

)+

c

D

1

2 (e_

x +e_

)

c P

1

P(E;)

=

c P

1

2 (e

+e

x )+

c

D

1

2 (e_

+e_

x )

c P

1

P(E;)

P(E;)=cP

an

(E;P;)+(1 c) Z

P

irr

0 e

Æ P

an P

irr

kÆ (P

an P

irr )

dP

irr :

(11)

As in the 1-D case, state nonlinearitiescan be eliminated through the assumption that E

= 0 in

(3) which indicates that stresses have negligible eect on the polarization. For low drive regimes

in which sensor (direct)piezoelectric eects are ignored, thisassumption is reasonable and will be

(8)

Two common actuator congurations for nanopositioning employ the stacked and cylindrical

actu-ators depicted in Figure 2. We develop here system models for these congurations based on the

nonlinearconstitutive relations summarizedinSection2.

3.1 Stacked Actuator

WhenmodelingthestackedactuatordepictedinFigure2a,itisassumedthatthecross-sectionalarea

issmallascompared tothelengthsothatonlylongitudinalmotionis considered. Thisisconsistent

withthe observationthat thematerial isdrivenina d

33

motion. For initialmodel development,we

assume that theendof theactuator bondedto the AFMbase is xed and theopposite endisfree.

The modelcan bedirectly modiedto accommodatemassorelasticloading at thefreeend.

Therodisassumedtohavecross-sectionalareaAandlength`, anddisplacementsinthe

longitu-dinal(x-axis)aredenotedbyu. Thedensity,Young'smodulusandKelvin-Voigtdampingparameters

arerespectivelydenoted by;c P

and c

D .

Force balancing and the enforcement of boundaryconditions thenyields thestrong form of the

model

A @

2

u

@t 2

= @N

@x

u(t;0)=N(t;`)=0:

(12)

By employing the constitutive relation (8), along with the linear strain relation e = @u

@x

, the force

resultant N = R

A

dAforthe rodis givenby

N =c P

A @u

@x +c

D A

@ 2

u

@x@t c

P

AP(E)

where thepolarizationis speciedby(7)or(8). Ifthecoupling termE

is retained intheeective

eld relation (3), it is observed that the polarization is stress-dependent and hence (12) is fully

nonlinear. However, undertheassumptionthatE

=0 ,thenonlinearityoccurssolelyintherelation

betweentheinputeldE and thepolarizationP,and itis thisregime thatwe consider.

Todeneaweakorvariationalformofthemodelwhichisappropriateforwell-posednessanalysis,

approximation,orcontrol design,the state u is consideredinthe state space X=L 2

(0;`) withthe

innerproduct

h; i

X =

Z

`

0

A dx: (13)

The space of test functions is taken to be V =H 1

`

(0;`) =f 2H 1

(0;`)j (0) =0g with theinner

product

(c P

);

V =

Z

`

0 c

P

A 0 0

dx: (14)

Multiplicationby testfunctions followed byintegration thenyieldsthe weak form

Z

`

0 A

@ 2

u

@t 2

dx+ Z

`

0

c P

A @u

@x +c

D A

@ 2

u

@x@t

@

@x =

Z

`

0 c

P

AP(E) dx (15)

which must be satised forall 2V. Asdetailed inSection 3.3, thisprovides a framework which

(9)

A second class of nanopositioning mechanisms are comprised of piezoceramic shells. We focus on

the actuator employed for z-displacements since real-time control of this component is required to

maintain constant forcesbetween thesample and micro-cantilever. The massof theshell employed

for the x-y translationis combined with the mass of the sample to provide an inertial force acting

on thefreeendof thez-actuator.

Formodeling purposes, we assume that the shell has length`, thickness h, and radius R . The

axial direction is specied along the z-axis and the longitudinal, circumferential and transverse

displacements are respectively denoted by u;v and w. The density, Young's modulus and

Kelvin-Voigtdampingparametersaredesignatedby;c P

;c

D

,andtheregionoccupiedbythemiddlesurface

oftheshellisspeciedby

0

=[0;`][0;2]. Finally,weconsiderthecaseinwhichthebottomedge

of theshell(x=0)is clamped and theoppositeend(x=`) isactedupon onlybytheinertial force

associatedwiththecombinedmassofthex-yactuatorand thesample. Forinitialanalysisinvolving

longitudinalinputsand motion,thecombined masscan be represented bya point massm.

As detailedin [4 ,13 ], force and moment balancingyield theDonnell-Mushtarishellequations

R h @ 2 u @t 2 R @N x @x @N x @ =0 R h @ 2 v @t 2 @N @ R @N x @x =0 R h @ 2 w @t 2 R @ 2 M x @x 2 1 R @ 2 M @ 2 2 M x @x@ +N =0 where N x ;N and N x

are general force resultants and M

x ;M

and M

x

are moment resultants.

The boundaryconditions at thexededge x=0are taken to be

u=v=w= @w

@x =0;

and theconditions

N x = m @ 2 u @t 2 ; N x + M x R =0 Q x + 1 R @M x @

=0 ; M

x =0

are enforcedat x =`. The rst resultant condition incorporatesthe inertial force due to the mass

of thepiezoceramiccylinderemployed fory-z translationalong withthemassof thesample.

The force and moment resultants are specied by integrating the stress relations (11), or the

product of the stress and moment arm, throughthe thickness of theshell. In theabsence of shear

stresses,thisyields

N x = c P h 1 2 (e x +e )+ c D h 1 2 (e_

x +e_

) c P h 1 P(E) N = c P h 1 2 (e +e

x )+ c D h 1 2 (e_

+e_

x ) c P h 1 P(E) N x = c P h

2(1+) e x + c D h

2(1+) _ e

(10)

M x = c P h 3 12(1 2 ) ( x + )+ c D h 3 12(1 2 ) (_ x +_ ) c P h 3 12(1 ) P(E)

M = c P h 3 12(1 2 ) ( + x )+ c D h 3 12(1 2 ) (_ +_ x ) c P h 3

12(1 ) P(E)

M x = c P h 3

24(1+) +

c

D h

3

24(1+) _ :

The midsurfacestrainsand changesincurvature aregiven by

e x = @u @x ; e = 1 R @v @ + w R ; e x = @v @x + 1 R @u @ x = @ 2 w @x 2 ; = 1 R 2 @ 2 w @ 2 ; = 2 R @ 2 w @x@ : (16)

To reduce smoothness requirements on approximating solutions, it is again advantageous to

consideraweakorvariationalform ofthe problem. To accomplishthis, we considerthe statespace

and space oftest functions

X=L 2

(

0 )L

2

(

0 )L

2

(

0 )

V =H 1

` (

0 )H

1

` (

0 )H

2 ` ( 0 ) where H 1 ` ( 0

) =f 2H 1

(

0

)j(0;) =0g and H 2

` (

0

) =f 2H 2

(

0

)j(0;)=

x

(0;)=0g: For

=(u;v;w) and =(

1 ;

2 ;

3

),theinnerproducts are

h; i

X = Z 0 hu 1 d+ Z 0 hv 2 d+ Z 0 hw 3

d+mu

1 (`) (17) and (c P ); V = Z 0 c P h 1 2 (e x +e ) @ 1 @x + 1 2R (1 )e x @ 1 @ d + Z 0 c P h 1 2 (e +e x ) @ 2 @ + 1 2R (1 )e x @ 2 @x d + Z 0 c P h 1 2 " 1 R (e +e

(11)

Z 0 R h @ 2 u @t 2 1 +R N

x @ 1 @x +N x @ 1 @ R c P h 1 P(E) @ 1 @x d R m @ 2 u @t 2 1

(`)=0

Z 0 R h @ 2 v @t 2 2 +N @ 2 @

+R N

x @ 2 @x c P h 1 P(E) @ 2 @

d =0

Z 0 R h @ 2 w @t 2 3 +N 3 R M x @ 2 3 @x 2 1 R M @ 2 3 @ 2 2M x @ 2 3 @x@ + c P h 1

P(E)

3 + c P h 3 R 12(1 ) P(E)r 2 3

d=0

(19)

for all = (

1 ;

2 ;

3

) 2 V. The internal resultants N

x =N x c P h 1

P(E); N

= N c P h 1 P(E); N x =N x ;M x =M x c P h 3 12(1 )

P(E);M

=M c P h 3 12(1 )

P(E) and M

x =M

x

are comprised of

the material contributions present in the absence of applied elds E. It is the model (19) that we

considerwhen establishing criteria formodel well-posedness and developing fulland reduced-order

approximation techniques.

3.3 Abstract Model Formulation

To providea frameworkinwhichto establish modelwell-posedness,weconsideran abstract

formu-lation of the models based upon stiness and damping sesquilinear forms. To this end, we dene

i

:V V !Cl ;i=1;2,by

1 (; )= (c P ); V 2

(; )=h(c

D ); i

V

(20)

where V = H 1

`

(0;`) with the inner product (14) for the rod model and V = H 1

` (

0 )H

1 ` ( 0 ) H 2 ` ( 0

)with theinnerproduct(18)forthecylindricalshell. Inbothcases, (c P ); V diersfrom h(c D ); i

V

onlyin that Young'smoduliare replaced byKelvin-Voigt damping parameters. It can

bedirectly veriedthat thestinessform

1

satises

(H1) j

1

(; )jc

1 jj

V j j

V

; forsome c

1

2lR (Bounded)

(H2) Re

1

(;)c

2 jj

2

V

; forsome c

2

>0 (V-Elliptic)

(H3)

1

(; )=

1

( ;) (Symmetric)

forall ; 2V. Moreover, the dampingterm

2

satises

(H4) j

2

(; )jc

3 jj

V j j

V

; forsome c

3

2lR (Bounded)

(H5) Re

2

(;)c

4 jj

2

V

; forsome c

4

(12)

Theinputoperatorsdependuponthespecicmodel. Fortherodmodel(15), B:U !V

isdened

by

h [B(E)](t); i

V

;V

=[P(E)](t) Z

`

0 c

P

A d

dx

dx (21)

whereasfortheshellmodel(19), B isdened by

h [B(E)](t); i

V

;V

= [P(E)](t) Z

0

R c

P

h

1

@

1

@x +

c P

h

1

@

2

@

+ c

P

h

1

3 +

c P

h 3

12(1 )R r

2

3

d:

(22)

Inbothcases,h ;i

V

;V

denotestheusualdualityproduct. ItisobservedthattheoperatorB canbe

expressedas

[B(E)](t)=[b(E)](t)g ; g2V

(23)

where

[b(E)](t)=c P

A[P(E)](t)

g( )= Z

`

0 0

dx

(24)

fortherod and

[b(E)](t) = c

P

h

1

[P(E)](t)

g( )= Z

0

R @

1

@x +

@

1

@ +

3 +

h 2

(1+)12R r

2

3

d

(25)

fortheshell.

The weak form of the rod model (15) or shell model (19) can then be written in the abstract

variationalform

hy(t); i

V

;V +

2

(y(t);_ )+

1

(y(t); )=h [B(E)](t); i

V

;V

for all 2 V. For therod model,y =u, V =H 1

`

(0;`), the duality product is theextension of the

X-inner product dened by (13) and B is dened by (21). For theshell model,y = (u;v;w), B is

denedin(22), V =H 1

` (

0 )H

1

` (

0 )H

2

` (

0

), and thedualityproductistheextension of(17).

Alternatively,one can denetheoperators A

i

2L(V;V

);i=1;2,by

h A

i

1 ;

2 i

V

;V =

i (

1 ;

2 )

and formulatethe modelinoperatorform as

 y(t)+A

2 _

y(t)+A

1

y(t)=[B(E)](t) (26)

inthedual spaceV

. Well-posedness criteria areestablishedinthefollowinglemma andtheorem.

Lemma 3.1 Dene the operator B by (21) or (22) and let T denote the partition specied in

Def-inition 2.1. Under the assumption that E 2 C[0;T] and that the parameters satisfy (9), it follows

that

B(E)2L 2

((0;T);V

(13)

Proof. From (23), theoperator B can beexpressed as [B(E)](t)=[b(E)](t)g whereg 2V and b

aredened in(24)or(25). It follows fromProposition2.3that

b():C[0;T]!C[0;T]

sothat thenorm

k[B(E)](t)k

V

=sup

v2V

j[b(E)](t)g(v)j

kvk

V

existsforeach t2[0;T]. Since k[B(E)](t)k

V

=j[b(E)](t)jkgk

V ;

itfollows that

kB(E)k 2

L 2

((0;T);V

)

max

t2[0;T]

j[b(E)](t)j 2

T kgk 2

V

which impliesthat

B(E)2L 2

((0;T);V

):

Theorem 3.2 Let

1 and

2

be given by (20) and consider the assumptions of Lemma 3.1. There

then exists a unique solution y to (26) which satises

y2C((0;T);V)

_

y2C((0;T);X):

The resultfollows directly fromTheorem4.1 of[4] orTheorem2.1 and Remark2.1 of[2 ].

4 Numerical Approximation Techniques

To implement the models for either the rectangular stacked actuator or the cylindrical actuator,

it is necessary to develop appropriate approximation techniques to discretize the modeling PDE.

To accomplish this, we consider general Galerkin methods in which basis functions are comprised

of spline or spline-Fourier tensor products. The resulting methods can accommodate a variety of

boundary conditions,are suÆcientlyaccurate to resolve ne-scale dynamics,and can be employed

forconstructing reduced-order PODapproximatesforreal-time implementation.

4.1 Stacked Actuator Model

To approximate theweak form of thestacked actuator model(15), we employa niteelement

dis-cretization in space followed by a nite dierence discretization in time. The semidiscrete system

resultingfromtheniteelementapproximationisappropriatefornitedimensional,continuoustime

controldesignwhereasthefullydiscretesystemisamenable tosimulationsand control

implementa-tion.

To obtain a semidiscrete system, we consider a uniform partition of [0;`] with points x

i = ih;

(14)

basisf

i g

i=1

is thencomprisedof oflinear splines

i (x)= 1 h 8 > < > : (x x i 1 ) ; x

i 1

x<x

i

(x

i+1

x); x

i

xx

i+1

0; otherwise

; i=1;;N 1

N (x)= 1 h ( (x x N 1 ) ; x

N 1

xx

N

0 ; otherwise

(see [16 ] fordetailsregardingtheconvergence analysisforthemethod). The solutionu(t;x)to (15)

isthen approximatedbytheexpansion

u N

(t;x)= N X j=1 u j (t) j (x): BecauseV N =spanf i g N i=1

V =H 1

`

(0;`),theapproximatesolutionsatisestheessentialboundary

conditionu N

(t;0)=0 and can attainarbitrary displacementsat x=`.

The projectionof the problem(15) onto the nitedimensionalsubspace V N

yieldsthe

semidis-crete system

_

y(t)=Ay(t)+[F(E)](t)

y(0)=y

0

(27)

wherey(t)=[u

1

(t);;u

N (t);u_

1

(t);;u_

N (t)] T and A= " 0 I Q 1 K Q 1 C #

; [F(E)](t)= " 0 Q 1 [f(E)](t) # : (28)

The mass,stiness, dampingand forcingmatriceshave thecomponents

[Q] ij = Z ` 0 A i j

dx ; [f(E)]

i

(t)=[P(e)](t) Z ` 0 c P A 0 i dx [K] ij = Z ` 0 c P A 0 i 0 j

dx ; [C]

ij = Z ` 0 c D A 0 i 0 j dx:

Thesystem(27)canbeemployedfornite-dimensionalcontroldesign. Forsubsequent

implemen-tation, we considera temporal discretizationof (27)using a modied trapezoid rule. For temporal

stepsizes t,thisyieldsthedierence equations

y j+1 =Ay j +[B(E)](t j ) y 0

=y(0);

(29)

wheret

j

=jt, y

j approximates y(t j ), and A= I t 2 A 1 I+ t 2 A

; [B(E)](t

j )=t

I t 2 A 1 [F(E)](t j ):

This yields an A-stable, single step method requiring moderate storage and providing moderate

(15)

Dueto theinherentcouplingbetweenlongitudinal,circumferential,and transverse displacementsin

combination withthe 2-Dsupportofthemiddlesurface, thenumerical approximation of themodel

forthecylindricalactuator issignicantlymore complicatedthantheapproximation ofthestacked

actuator model. Among the issues which must be addressed when constructing nite element or

general Galerkin methods for the shell is the choice of elements which avoid shear and membrane

locking and the maintenance of boundary conditions. We summarize here a spline-based Galerkin

methoddevelopedin[6 ] forthinshellsanddirect thereadertothat sourcefordetailsregardingthe

construction of constituent matrices and convergence properties of the method. Details regarding

theuseof thisapproximationmethod forLQRcontrolof shellsutilizingpiezoceramicactuatorscan

befoundin[7 , 8 ].

The bases forthe u;v and w displacementsare respectivelytaken to beB

u

k

(;x)=e im

B

u

j (x);

B

v

k

(;x) = e im

B

vj

(x); and B

w

k

(;x) = e im

B

wj

(x) where B

uj ;B

vj

and B

wj

are cubic B splines

modied to satisfytheboundaryconditions(e.g., seepage79 of [16]). The approximating subspace

is V N

= spanfB

u

k

gspanfB

v

k

gspanfB

w

k

g and displacements are approximated through the

expansions

u N

(t;;x)= N

u

X

k=1 u

k (t)B

u

k (;x)

v N

(t;;x)= Nv

X

k=1 v

k (t)B

v

k (;x)

w N

(t;;x)= N

w

X

k=1 w

k (t)B

w

k (;x):

The restrictionoftheproblem(19)toV N

and constructionoftheforcingvectorsthenyieldsthe

matrixsystem

_

y(t)=Ay(t)+[F(E)](t)+G(t)

y(0)=y

0

where y(t) = [#(t); _

# (t)] T

2 lR 2N

, #(t) = [u

1

(t);;u

Nu (t);v

1

(t);;v

Nv (t);w

1

(t);;w

Nw (t)]

T

,

N =N

u +N

v +N

w

;denotesthecoeÆcientsand theirderivatives. The matrixAand vector F have

thegeneralform(28)and thevectorG(t)=[0; Q 1

g(t)] T

incorporatestheboundarycontributions

duetotheinertialmassand appliedloadat theendof thecylinder. The readerisreferredto [6 ]for

detailsconcerning theconstruction ofthe mass,stiness and dampingmatrices Q;K and C.

5 Model Validation

To illustrate the attributes and capabilities of the models, we consider the characterization of the

stackedactuator depictedinFigure 2a. To accommodate thedimensionsandlongitudinaldynamics

exhibited by theactuator, the rodmodel(15) resulting from thenonlinearconstitutive relation(8)

isemployed. Fornumericalimplementation, we employtheresulting discretesystem(29).

The stacked actuator has a width and thickness of 5 mm and length of 20 mm. The Young's

modulusand densityspeciedbythemanufacturerare c P

=6:510 10

N/m 2

and =7730 kg/m 3

.

Thevaluesc

D

=6:510 7

Ns/m 2

and =3:5210 2

fortheKelvin-Voigtdampingparameter and

piezoelectriccoupling coeÆcient were estimatedthrougha leastsquarest tothe data. Finally,the

(16)

−2000

0

2000

4000

6000

8000

10000

12000

14000

−4

−2

0

2

4

6

8

x 10

−6

Electric Field (V/m)

Displacement (m)

Data

Model

Figure 4: Experimentalstacked actuator dataand modelprediction.

to obtainthe parameters =4:510 6

Vm/C, a= 4:610 5

C/m 2

, k = 1:410 5

C/m 2

, c =:81

and P

s

=:49C/m 2

forthe hysteresis component of themodel.

The model prediction obtained with these parameters is compared with the actuator data in

Figure 4. It is observed that the model accurately quanties both the constitutive nonlinearities

and hysteresisinherent tothisnanopositioningmechanism to adegree which issuÆcientlyaccurate

forbothdevicecharacterizationand theconstructionofinversecompensators forsubsequentcontrol

design.

Furthermore, it was observed that because longitudinal piezoelectric inputs are manifested as

stress resultants at the endof the rod, there is little spatialvariation forthe considered

congura-tion. Hence convergence of the niteelement method was attained by N = 8 with only moderate

discrepancies produced with fewer basis functions. The ramications of this are twofold: (i) the

method is very fast which facilitates real-time implementation, and (ii) suÆcient accuracy for

cer-tain drive regimes may be attained with lumped ODE models for the rod. The quantication of

conditions under which ODE rod models may be applicable is under investigation. It is noted,

however, that such simplicationswill not be feasible for the shell model used to characterize the

cylindricalactuatordueto the inherent coupling betweencomponent displacements. Hencethe full

PDE model or appropriate reduced-order models will be required for all congurations utilizing

cylindricalactuators.

6 Concluding Remarks

ThePDEmodelsdevelopedhereprovideameansofcharacterizingtwooftheactuatorcongurations

employed incurrent atomicforcemicroscopesand projected nanopositioningdesigns. Asillustrated

through data from the stacked actuator, hysteresis and constitutive nonlinearities inherent to the

constituent piezoelectricmaterialsaremanifestedeven atthelowdrivelevelsrequiredfor

nanoposi-tioning. It iscrucial that these nonlinearmechanismsbe accommodated in device characterization

and subsequent controldesignto achieve theangstrom-levelresolution requiredfromthe actuators.

At lowdrive frequencies,the deleteriouseects of the hysteresis and nonlinearitiescan be

(17)

basedonlow-ordermodelsinconjunctionwithfeedforwardcontroldesignswillberequiredtoachieve

thenecessary accuracy.

Twocrucialattributes of modelsconsideredforuse ininverse compensator designarethe

prop-erties that they can be inverted and are suÆcientlylow-orderto permit real-time implementation.

Asillustrated [15 ],modelsof thetype presentedhere are amenableto either fullinversion,through

the solutionof complementaryODE, or partialinversionthrough consideration of theanhysteretic

componentofthemodel. Thedesignandimplementationoffeedforwardcontroldesignswhichutilize

theresulting inverse compensators is under investigation. Asdiscussed inSection 5,the rod model

exhibits minimal spatial variation in certain drive regimes which indicates that lumped parameter

ODE modelsmay be adequate for certain nanopositioner designs. For regimesin whichsignicant

spatialvariationnecessitatestheretentionofthefullPDE,aswellasthecharacterizationof

nanopo-sitionersemployingcylindricalactuators,thedevelopmentofreduced-ordermodelswillbenecessary

to achieve real-time, broadbandimplementation. We arecurrentlypursuing thedevelopment of

ac-tuator models based on proper orthogonal decomposition (POD) expansions due to recent success

utilizing this reduced-order approach in control design for cylindrical shells with surface mounted

piezoceramicactuators [1 ]. Theresulting reducedmodelsemployinginverse algorithmswillthenbe

consideredforbroadbandcontroldesigninnanopositioningapplications.

Acknowledgements

ThisresearchwassupportedinpartbytheAirForceOÆceofScienticResearchunderthegrant

AFOSR-F49620-01-1-010 7 and the NationalScience Foundationunder thegrant CMS-0099764.

References

[1] H.T.Banks,R.C.H.delRosarioandR.C.Smith,ReducedOrderModel FeedbackControl Design:

Numerical Implementation in a Thin Shell Model, IEEE Transactions on Automatic Control,

45(7) (2000),pp. 1312-1324.

[2] H.T. Banks, K. Ito and Y. Wang, Well-Posedness for Damped Second Order Systems with

Unbounded Input Operators,Dierentialand IntegralEquations, 8 (1995), pp.587-606.

[3] H.T.Banks, A.J.KurdilaandG.Webb,Identicationof HystereticControlInuenceOperators

Representing Smart Actuators Part I: Formulation, Mathematical Problems in Engineering,3

(1997),pp.287-328.

[4] H.T. Banks, R.C. Smith and Y. Wang, Smart Material Structures: Modeling, Estimation and

Control, Masson/John Wiley,Paris/Chichester, 1996.

[5] W.G.Cady,Piezoelectricity, McGraw-Hill, New York, 1946.

[6] R.C.H.delRosarioand R.C.Smith,Spline approximation of thin shell dynamics, International

JournalforNumerical MethodsinEngineering,40(1997), pp.2807-2840.

[7] R.C.H. del Rosario and R.C. Smith, LQR control of thin shell dynamics: formulation and

numerical implementation, JournalofIntelligentMaterial SystemsandStructures,9(4) (1998),

pp.301-320.

[8] R.C.H.del Rosario and R.C.Smith, LQR Control of Shell Vibrations via Piezoceramic

(18)

17(1995),pp.211-221.

[10] P.K. Hansma, V.B. Elings, O. Marti and C.E. Bracker, Scanning Tunneling Microscopy and

AtomicForceMicroscopy: Application toBiology andTechnology,Science, 242(1988), pp.

209-242.

[11] T.Ikeda, Fundamentals of Piezoelectricity, Oxford University Press,Oxford,1990.

[12] E.L.Ince, OrdinaryDierential Equations,Dover Publications,Inc., New York,1956.

[13] A.W. Leissa, Vibration of Shells, NASA SP-288, 1973; Reprintedbythe Acoustical Society of

AmericathroughtheAmericanInstituteofPhysics,1993.

[14] I.D. Mayergoyz, Mathematical Modelsof Hysteresis, Springer-Verlag,New York,1991.

[15] J.Nealis and R.C.Smith,Partial Inverse Compensation Techniques for Linear Control Design

inMagnetostrictiveTransducers,ProceedingsoftheSPIE,SmartStructuresandMaterials2001,

Volume 4326, pp462-473, 2001.

[16] P.M. Prenter, Splines and Variational Methods, Wiley,New York,1975.

[17] R.C.Smith,ADomain wall model for asymmetric minorhysteresis loops in ferroelectric

mate-rials,to be submitted.

[18] R.C.SmithandC.L.Hom,Domainwall theoryfor ferroelectric hysteresis,JournalofIntelligent

Material Systemsand Structures, 10(3) (1999),pp.195-213.

[19] R.C. Smith and Z. Ounaies, A domain wall model for hysteresis in piezoelectric materials,

Journalof IntelligentMaterial Systems andStructures, 11(1) (2000), pp.62-79.

[20] R.C. Smith and Z. Ounaies, A model for asymmetric hysteresis in piezoceramic materials, in

MaterialsforSmartSystemsIII,MaterialResearchSocietySymposiumProceedingsVolume604

(2000),pp.285-290.

[21] R.C. Smith, Z. Ounaies and R. Wieman, A Model for Rate-Dependent Hysteresis in Piezoc

e-ramic Materials Operating atLow Frequencies, Proceedings oftheSPIE,SmartStructures and

Materials2000, NewportBeach,CA,Volume3992 (2000), pp.128-136.

[22] X. Tan, R. Venkataraman and P.S. Krishnaprasad, Control of Hysteresis: Theory and

Experi-mentalResults, SmartStructuresandMaterials2001, Modeling,SignalProcessingand Control

inSmartStructures, SPIEVol. 4326, (2001), pp.101-112.

[23] G. Tao and P.V. Kokotovic, Adaptive Control of Systems withActuatorand Sensor

References

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