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D-OSKIL: A New Mechanism for Controlling Stick-Slip Oscillations in Oil Well Drillstrings

Abstract

Limit cycles occurring in oil well drillstrings result from the interaction between the drill bit and the rock during drilling operations. In this paper, we propose to use the weight on the bit (WoB) force as an additional control variable to extinguish limit cycles when they occur. An approximate analysis based on the bias describing function and completed with some simulations, provides good evidence that the rotational dynamics of the oil well drillstring displays such a behavior. In particular, we propose an adaptation law for the WoB named D-OSKIL mechanisms, which results from a variant of the oscillation killer (OSKIL) mechanism studied in detail in [6]. In opposition to the heuristic control structure proposed in [7], we show that the new WoB (W oB ) control law results in a globally asymptotically stable closed-loop system. Simulations applying the D-OSKIL mechanism show that the stick-slip oscillations can be eliminated without requiring a redesign of the velocity rotary table control.

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D-OSKIL: A New Mechanism for Controlling Stick-Slip Oscillations in Oil Well Drillstrings

Author: Canudas-de-Wit, Carlos; Rodríguez Rubio, Francisco; Corchero Peruyera, Miguel Ángel
Publisher: IEE (Institute of Electrical and Electronics Engineers)
Year: 2008
DOI: 10.1109/TCST.2008.917873
Source: https://idus.us.es/bitstreams/327ce867-27a8-45b3-9cd9-8e9468c4c6b5/download
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D-OSKIL: A New Mechanism o Con olling S ick-Slip Oscilla ions in Oil Well
D ills i ings
A icleinIEEE T ansac ions on Con ol Sys ems Technology · Decembe 2008
DOI: 10.1109/TCST.2008.917873·Sou ce: IEEE Xplo e
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1
DOSKIL: A New Mechanism o Con olling
S ick-Slip Oscilla ions in Oil Well D ills ings
Ca los Canudas-de-Wi
Labo a oi e d’Au oma ique de G enoble, INPG-CNRS, G enoble, FRANCE.
Email: ca los.canuda[email p o ec ed]
F ancisco R. Rubio
Depa men o Au oma ic Con ol, Uni e si y o Se ille, Se ille, SPAIN
Email: [email p o ec ed]
Miguel Angel Co che o
Depa men o Au oma ic Con ol, Uni e si y o Se ille, Se ille, SPAIN
Email: macpe[email p o ec ed]
Abs ac
Limi cycles occu ing in oil well d ills ings esul om he in e ac ion be ween he d ill bi and he ock du ing
d illing ope a ions. In his pape we p opose o use he weigh on he bi (WoB) o ce as an addi ional con ol
a iable o ex inguish limi cycles when hey occu . An app oxima e analysis based on he bias desc ibing unc ion
and comple ed wi h some simula ions, p o ides good e idence ha he o a ional dynamics o he oil well d ills ing
displays such a beha io . In pa icula , we p opose an adap a ion law o he WoB named D-OKILL mechanisms,
which esul s om a a ian o he oscilla ion kille (OSKIL) mechanism s udied in de ail in [6].
In opposi ion o he heu is ic con ol s uc u e p oposed in [7], we show ha he new Weigh on Bi (WoB ) con ol
law esul s in a globally asymp o ically s able closed loop-sys em. Simula ions applying he D-OSKIL mechanism
show ha he s ick-slip oscilla ions can be elimina ed wi hou equi ing a e-design o he eloci y o a y- able con ol.
I. INTRODUCTION
Oil well d ills ings (see Figu e 1) a e sys ems which p esen in e es ing ea u es om he dynamical and con ol
iewpoin s as hey pose many challenging echnological p oblems [26], [34]. The applica ion o dynamic analysis
and con ol echniques in a d illing sys em can lead o conclusions ha allow us o p opose new ecommenda ions
o d illing ope a ions, d ills ing design and con ol algo i hm, which would p oduce economic bene i s h ough a
mix o lowe de elopmen cos s, highe p oduc ion a es and imp o ed eco e y. Pa icula ly, he p esence o s ick-
slip sel -exci ed oscilla ions a he bo om pa o he d ills ings as well as dec easing se ice li e o d ills ings
and downhole equipmen , has d awn he a en ion o he con ol communi y in he las decade. The elimina ion
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2
a) b)
Fig. 1. Oil d illing sys em in he ield (a). Basic scheme o a e ical d illing sys em.(b)
o his kind o oscilla ions is a challenge o d ille s and scien is s since i can p o ide impo an cos sa ings in
d illing ope a ions, in e ms on money and exploi a ion ime [21].
Di e en oscilla ions a ec ing he d ills ing beha io a e una oidable. The occu ence o sel -exci ed s ick-slip
ib a ions (i.e., he op o he d ills ing o a es wi h a cons an o a y speed, whe eas he bi (cu ing de ice) o a y
speed a ies be ween ze o and up o six imes he o a y speed measu ed a he su ace) as a common and damaging
phenomena in d ills ing sys ems has been highly desc ibed and analyzed in ecen yea s, d awing he a en ion o
he con ol communi y. Fo mo e in o ma ion abou d ills ing oscilla ions and s ick-slip phenomenon in oil well
d ills ings, please see [14], [21], [24], [31].
Some causes o s ick-slip oscilla ions a e backlash be ween con ac ing pa s, hys e esis, nonlinea damping
and geome ical impe ec ions which a e e y di icul o model. Howe e , he main cause o such ib a ions in
d ills ings is he ic ion appea ing by con ac wi h he ock o ma ion [3], [17]. Consequen ly, a model desc ibing
he d ills ing beha io should include a bi - ock ic ion o que model adequa e enough o p ope ly ep oduce his
e ec .
Many ways o educing hese ib a ions ha e been p oposed, bo h om p ac ical and heo e ical iewpoin s.
His o ically, he expe ience o d ille s has e ealed ha he manipula ion o di e en d illing pa ame e s (inc eas-
ing he o a y speed, dec easing he weigh -on-bi (WoB), modi ying he d illing mud cha ac e is ics, in oducing
an addi ional ic ion a he bi [25], e c) is an e ec i e s a egy o supp ess s ick-slip mo ion [28]. Howe e , his
s a egy depends oo much on he pe sonal skills o each d illing echnician o be eally e ec i e.
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Usually, d illing sys ems a e eloci y-con olled o make hem o a e a a cons an eloci y, bu no speci ica ions
abou ib a ion supp ession o damping a e conside ed. Ano he con ol op ion would be in oducing new egula ion
me hodologies (ac i e, passi e) in he loop, speci ically aimed o compensa e o d ills ing ib a ions. Among hose,
he ollowing examples can be poin ed ou :
•The so-called So To que Ro a y Sys em (STRS) [13] [28], ha is a o que eedback a he op o he d ills ing
which makes he sys em beha e in a “so e ” way a he han as a ixed hea y lywheel, so ha he o sional
wa es a i ing a he su ace a e abso bed, b eaking he ha m ul cycling mo ion.
•In oducing a ib a ion abso be a he op o he d ills ing [15] which ollows he same app oach gi en in
[13] and [28].
•In oducing a PID con olle s uc u e a he su ace in o de o con ol he o a y speed [1], [23], [24], [25].
•Using obus con olle s, like he linea H∞con ol p oposed in [29], o supp ess s ick-slip mo ion a he bi .
•Using a con olle based on an inpu -s a e eedback linea iza ion o he nonlinea ic ion o que [2].
Howe e , ew wo ks ha e p o ided a o mal s abili y analysis o hei p oposed con ol s a egies. Fo ins ance,
analysis o he dynamical beha io o d ills ing unde ib a ions has been explo ed in [1] and linea app oxima ions
o s abili y o con olled d ills ing has been s udied in [24].
The alue o he sys em weigh measu ed a he bo om pa , called Weigh on Bi (WoB), has been p o ed o
be an impo an pa ame e in he occu ence and possible a oidance o s ick-slip oscilla ions (see [23] and [28]).
E icien d illing ope a ion equi es a ce ain amoun o o ce (WoB) ha may be incompa ible wi h he low o ce
ange which may a oid s ick-slip oscilla ions. This adeo be ween o ce magni udes, p o ides a i s indica ion
ha a egula ion s a egy o WoB seems o be necessa y o main ain a good d illing ope a ion, hus, a oiding such
oscilla ions (see [7] and [24]).
This pape is ocused on he p oblem o s ick-slip oscilla ions p oduced a he bo om-hole assembly (BHA). The
main idea is o use he weigh on he bi (WoB) o ce as an addi ional con ol a iable. In pa icula we adap he
oscilla ion kille (OSKIL) mechanism s udied in [6], o he oil well d ills ing sys ems (named he e D-OSKIL1)
which has been shown o be pa icula ly adap ed o nonlinea sys ems displaying a local s able egion wi h a s able
limi se ou side his local domain.
An app oxima e analysis based on he bias desc ibing unc ion p o ides good e idence ha he o a ional dynamics
o he oil well d ills ing display a simila beha io pa e n. This analysis, al hough app oxima e, also gi es a good
in ui ion in he way ha he WoB needs o be modi ied o supp ess oscilla ions. An impo an p ope y o he
p oposed D-OSKIL mechanism is ha i allows eco e ing he nominal ope a ion condi ion ( he W oB eco e s i s
nominal d illing alue) while oscilla ions a e supp essed.
In opposi ion o he heu is ic con ol s uc u e p oposed in [7], we show ha he new p oposed Weigh on
Bi (WoB) con ol law esul s in a globally asymp o ically s able closed loop-sys em. The e o e, he D-OSKIL
mechanism elimina es he s ick-slip oscilla ions wi hou equi ing a e-design o he eloci y o a y- able con ol.
1D-OSKIL s ands o D illing oscilla ion kille mechanism.
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The pape is o ganized as ollows. In Sec ion II he basics abou d ills ing dynamics and ib a ions a e b ie ly
in oduced. In Sec ion III, he d ills ing model used in he pape is p esen ed. The con ol loop used o egula e
o a ional eloci y o he se and he a p io i beha io o he closed loop sys em a e shown in Sec ions IV and V,
espec i ely. In Sec ion VI, a Desc ibing Func ion based analysis is made in o de o ob ain some in o ma ion abou
s ick-slip oscilla ions in he sys em, and nex , in Sec ion VII, he con ol mechanism named D-OSKIL ob ained
om he conclusions o he p e ious analysis is p esen ed. In Sec ion VIII, some simula ions a e shown. Sec ion
IX p oposes an obse ed-based e sion o he same con olle whe e only ield exis ing measu es a e used. In he
same sec ion, we show also some simula ions. And inally, Sec ion X submi s he conclusions and u u e esea ch
lines.
II. BASICS ON DRILLSTRING DYNAMICS AND VIBRATIONS
S anda d o a o y d illing equipmen , as shown in Figu e 1 o depic wha is commonly used by oil companies
o ex ac gas and oil om he ea h su ace, uses a dill-bi (called bi ) o c ush he ock and make he hole in he
g ound. As he hole becomes deepe , some pipe sec ions (called d ill pipes) a e added, lea ing he bi coupled a
he bo om pa o he se . These pipes, oge he wi h he d ill bi , o m he so-called d ills ing. This d ills ing
is mo ed by means o a mo o o sys em o mo o s in he su ace. As i has been shown in he p e ious Sec ion,
ope a ion o he d ills ing looks jus like ha o a household elec ic d ill, whe e a mo o makes he bi o a e, and
enough weigh is applied o main ain he con ac be ween he bi and he objec o be d illed.
In o de o make he s udy o a d illing sys em s uc u e a bi mo e comp ehensi e, he ollowing pa s can be
emphasized:
•Powe Sys em: A se o diesel and elec ic mo o s ha p o ide he necessa y ene gy o pe o m all he asks.
•Suppo ing S uc u e: This is used o mo e he pipes in and ou o he oil well, and so, o a y he weigh
applied du ing he p ocess.
•The Ro a o y Sys em o make he sys em o a e. I is composed by:
– Swi el and Kelly: To connec he Suppo ing and Ro a o y Sys ems.
– Ro a o y Table: Also called u n able. I is a la ge disc-shaped ine ia coupled o he d ills ing ha
d i es he o a ing mo ion using powe om elec ic mo o s.
– D ills ing: As shown be o e, i is a sequence o ubes ha connec he o a o y able and he bi .
– Bi : The cu ing de ice.
•Ci cula ion Sys em: I consis s o a se o pipes and pumps which c ea e a low wi hin he hole by d illing
mud in o i . This subs ance is aimed o lub ica e and e ige a e he con ac be ween he ock and he bi , and
so o li he ock cu ings om he d ill bi o he su ace.
A mo e exhaus i e desc ip ion o he o a o y sys em can be ound, in [21] and [31] among o he pape s.
One o he main p oblems is he appea ance o oscilla o y beha io s (limi cycles), ha cause a dec easing o he
d illing pe o mance om he iewpoin s o di e en pa ame e s ( a e o pene a ion a he su ace, o a ional speed
o he bi , ...) and so p o oking he mechanical ailu e o he d ills ing o he b eakage o any o he elemen s [31].
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5
bi -bouncing
whi l
whi l
s ick-slip
Fig. 2. Di e en ypes o ib a ions in d ills ing sys ems.
The ib a ions appea ing in he d ills ing can be di ided in o 3 di e en ca ego ies [14] [10], (see Figu e 2):
•Longi udinal ib a ions a e p oduced in a e ical di ec ion om he d illing owe , causing ebounds o he
bi a he bo om o he oil well, a phenomenon called bi -bouncing.
•La e al ib a ions a e p oduced when he d ills ing’s mass cen e is displaced om he o a ion axis, causing
whi l-like mo emen s and ebounds wi hin he oil well walls, a phenomenon called whi ling.
•To sional ib a ions a e p oduced when he o a ional eloci ies a he su ace and he bo om o he d ills ing
a e di e en , causing s ick-slip mo emen s.
Each oscilla ion phenomenon appea s bo h a di e en imes and di e en equency anges, and so, hey can be
s udied sepa a ely. This wo k is ocused on s ick-slip ib a ions.
The s ick-slip oscilla ions a e gene ally associa ed o ypical d y ic ion p o iles [19], i.e., when he e is no
mo emen , he ic ion o que (s a ic ic ion) is la ge han in non ze o eloci y cases (dynamic ic ion). The
di e ence be ween hose wo magni udes has been shown by many au ho s o be one o he mos ele an a iables
ha cha ac e izes s ick-slip oscilla ions [22].
III. SYSTEM MODELLING
Mul iple kind o models ha e been used in li e a u e o desc ibe d ills ing sys ems (see o example [19] and
[31]). The ype and he complexi y o he model o be used a e closely ela ed o he aim pu sued (modelling,
simula ion, model o con ol, e c). Howe e , lumped pa ame e s models ha e been shown o be alid enough o
p ope ly desc ibe he s ick-slip oscilla ion phenomena and easy enough o make he s udy no oo complex [10].
The p oblem o modelling s ick-slip phenomenon in a d ills ing by means o a lumped-pa ame e model has been
s udied om se e al poin s o iew. Mos o hem conside he d ills ing as a o sional pendulum wi h di e en
deg ees o eedom, o ins ance: [17], [20], [27], [32] p opose single-deg ee-o - eedom models, [1], [5], [22], [24]
June 6, 2007 DRAFT
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6











J
ϕ
d
kc
ϕb
db
Jb
ToB
WoB
Fig. 3. D ills ing wo-coupled masses model.
p opose wo-deg ee-o - eedom models including a linea con olle , and [15], [29] p esen wo-deg ee-o - eedom
models o he mechanical pa o he sys em plus he model o he o a y able elec ic mo o sys em.
As i will be seen in subsequen sec ions, he bi - ock ic ion model is undamen al o p ope ly ep oducing
s ick-slip oscilla ions phenomenon. Many models ha e been p oposed in li e a u e, some o hem summa ized in
[22]. The model used he e (depic ed in Figu e 3) is a wo-deg ee-o - eedom model wi h wo ine ial masses J
and Jb, locally damped by d and db. The ine ias a e coupled wi h each o he by an elas ic sha o s i ness k
and damping c. The a iables ϕ and ϕbs and o he o a y and he bi angle. The o a y o que con ol signal
used o egula e he o a y angula eloci y ˙ϕ . The T oB (To que on Bi ) ep esen s he o al ic ion o que o e
he d ill bi .
The model equa ions a e he ollowing:
J ¨ϕ +c( ˙ϕ −˙ϕb) + k(ϕ −ϕb) + d ˙ϕ = (1)
Jb¨ϕb+c( ˙ϕb−˙ϕ ) + k(ϕb−ϕ ) + db˙ϕb=−T oB (2)
In cons an s abo e, he sub-sc ip ′ ′, and ′b′s ands o o a y and bi , espec i ely.
A sui able model o T oB is essen ial, because he ep oduc ion o s ick-slip ib a ions will s ongly depend on
he pa icula choice o he model o T oB. This o que ep esen s he combined e ec s o eac i e o que on he bi
and nonlinea ic ional o ces along he d ills ing. In ou case, he T oB will be gi en by he p oduc o µ( ˙ϕb, z),
which desc ibes he no malized (dimensionless) o sional bi - ock ic ion (di e en bi - ock ic ion models a e
p esen ed in [22]), and he no mal o ce ucalled Weigh on Bi (WoB), i.e.
T oB =µ( ˙ϕb, z)·u(3)
Se e al o ms o µ( ˙ϕb, z)can be conside ed acco ding he use o he model. Nex , we desc ibe he model o T oB
used o simula ions and o alida ing he con ol law, hen a simpli ied model is in oduced o con ol analysis
June 6, 2007 DRAFT
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7
pu poses.
A. Model o simula ions
The s a e-space ep esen a ion o he la e model is he ollowing:
˙x=Ax +B +Hµ(x, z)u(4)
˙z= (x, z)(5)
wi h
A=




0 1 −1
−k
J
−(d +c)
J
c
J
k
Jb
c
Jb
−(c+db)
Jb





, B =




0
1
J
0





, H =




0
0
−1
Jb





whe e he s a e x= [x1x2x3]Tis de ined as ollows:
x1=ϕ −ϕb
x2= ˙ϕ (6)
x3= ˙ϕb
In his desc ip ion, he s a e z∈R ep esen s he in e nal ic ion s a e, and Equa ion (5) desc ibes he ic ion
dynamics. Va ious ic ion models ha e been shown o wo k p ope ly o cap u e he ypical ic ion phenomena
(s ic ion, S ibeck e ec , e c) which cause s ick-slip oscilla ions ( [12] and [18]). One possible model o Equa ion
(5) is he LuG e ic ion model [8]:
˙z=x3−σ0|x3|
g(x3)z,
g(x3) = µC+ (µS−µC)e−(x3/ s)2(7)
µ(x, z) = σ0z+σ1˙z,
The unc ion g( )i mainly a ec he s eady-s a e cha ac e is ics o he ic ion model. In s eady-s a e, he
model p edic he ollowing ic ion alue, µSS(x3) = g(x3)sgn(x3).In his model, σ0, σ1, s, µC, µSa e posi i e
cons an s cha ac e izing he ic ion physical p ope ies. Also no e ha he o sional linea ic ion a he d ill bi
side is al eady inco po a ed in he Ama ix o he ep esen a ion (4).
B. Model o con ol
No e ha he p e ious model o he µ(x, z)includes an addi ional ic ion dynamics, zwhich is sui ed o desc ibe
mo ion a p e-sliding, and in pa icula o egula ize he di e en ial equa ion desc ibing he sys em dynamics. An
al e na i e is o use s a ic desc ip ion o µ(x)(maps wi hou memo y), which may be simple o con ol analysis.
The di e en be ween bo h models, may no be oo signi ican , as long as compu a ion issues a e s ongly simpli ied.
The model o con ol is hen desc ibed by,
˙x=Ax +B +Hµ(x3)u(8)
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8
whe e he e µ(x3)is a s a ic map be ween he bi o a ional eloci y x3= ˙ϕband he no malized ic ion pa ame e
µ, i.e. he s eady-s a e o m o he model (7), o any sui able app oxima ion like he one shown in Figu e 12.
IV. ROTATIONAL VELOCITY REGULATION LOOP
The i s ask o con on is designing a p ope con ol law o mo o o que . This signal will be aimed mainly
a egula ing he o a ional eloci y o he o a o y able ˙ϕ o a ce ain desi ed alue ωd(a ypical alue o ωdis
5 ad/s). As we ha e shown in Sec ion I, many a chi ec u es ha e been p oposed o ha pu pose, om classic PID
s uc u es o a linea H∞ obus con ol, al hough oil well d ills ings usually ope a e wi h educed-o de simple
con ol laws.
A. Ro a y able eloci y con ol loop
In his wo k, he s uc u e o he eloci y con olle is inspi ed by he one p esen ed in [10], as shown by:
=k1+k2
s(ωd−˙ϕ )−k3( ˙ϕ −˙ϕb)(9)
o equi alen
=k1(ωd−x2) + k2x4−k3(x2−x3)
˙x4= (ωd−x2)
hen he closed-loop equa ions ake he o m o he model o simula ion,
˙x=Aclx+Bclωd+Hclµ(x, z)u(10)
˙z= (x, z)(11)
and he ollowing one o he model o con ol analysis,
˙x=Aclx+Bclωd+Hclµ(x3)u(12)
wi h he ob ious obse a ion ha xis now o dimension ou (due o he in oduc ion o an in eg al e m in he
o a y able con ol), i.e. x= [x1, x2, x3, x4], and wi h he Acl,Bcl and Hcl gi en as:
Acl =








0 1 −1 0
−k
J
−(d +c+k1+k3)
J
(c+k3)
J
k2
J
k
Jb
c
Jb
−(c+db)
Jb0
0−1 0 0








, Bcl =








0
k1
J
0
1








, Hcl =








0
0
−1
Jb
0








The s eady-s a e alue o x, conside ing µ∗=µ(x∗
3), is:
x∗
1=u0µ∗+dbωd
k(13)
x∗
2=ωd(14)
x∗
3=ωd(15)
x∗
4=(db+d )ωd+µ∗u0
k2
(16)
June 6, 2007 DRAFT
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15










kek
WoB
WoBmin u0
˜u
a ac i e limi cycle
epellen limi cycle
a
b
b
b
b
Fig. 10. Possible d ills ing sys em ajec o ies.
b) Beha io beyond nominal ope a ions: To supp ess such oscilla ions, he u=WoB mus be educed by
means o he con ol signal ˜u, un il i s ajec o y eaches he bi u ca ion poin , and he local con olle is able o
e u n he sys em ajec o ies o he equilib ium. The ea e , he nominal alue o he WoB mus be eco e ed in
a p ope slow manne , o con inue wi h he d illing ask, i.e. u→u0. Signi ican ly enough, he a ia ion o ˜u
should be es ic ed o a alid domain, and in pa icula es ic ed o a posi i e alues o he han ze o. Wi hou his
es ic ion, i is clea ha d illing may no be e icien , o i will be imp ac ical.
The gene al s uc u e o he a ia ion law o u(o equi alen o ˜u), will be he e o he o m:
˙
˜u=P0
−u0{−σ˜u+ Φ(·)}
whe e σ > 0, can be unde s ood as a ime-cons an o he con olle , and P0
−u0is a p ojec o ope a o ensu ing ha
solu ions o he abo e equa ion makes ˜us ay in he ange (−u0,0], and Φ(·)is a nonlinea unc ion which mus
be designed o ensu e sys em s abili y, ha is:
˙ϕ →ωdand ˜u→0
In o de o make he p esen a ion simple , we will op he explici use o he p ojec ion ope a ion Pin he ollowing
sec ion. Howe e , he eade should keep in mind ha ˜uis a bounded signal in he p esc ibed ange.
Wi h his in mind, he comple e closed-loop equa ions a e:
˙x=Aclx+Bclωd+Hclµ(x3)(u0+ ˜u)(20)
˙
˜u=−σ˜u+ Φ(·)(21)
whe e ma ices Acl, Bcl, Hcl ha e been de ined p e iously.
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16




-
-



Ψ
∆
G(s)
Γ
y
˜u2
˜u1
Fig. 11. E o sys em block diag am.
B. E o equa ions
E o equa ions can be ob ained by applying he change o coo dina es e=x−x∗, and conside ing he s eady-s a e
alues µ(e3)ss =µ∗and ˜uss = 0. This yields2:
˙e=Acle+Hcl [µ(y)˜u+ ˜µ(y)u0](22)
˙
˜u=−σ˜u+ Φ(y)(23)
y=Ce =e3(24)
whe e he e m ˜µ(y)is de ined as ollows:
˜µ(y) = µ(y)−µ∗(25)
and we assume ha he upda e ule o ˜uis designed on he basis o he ou pu y. The e o sys em can be desc ibed
by he block diag am in Figu e 11, wi h he ollowing de ini ions:
G(s) : Ψ 7→ y(26)
Γ : y7→ ˜u1=µ(y)˜u(27)
∆ : y7→ ˜u2= ˜µ(y)u0(28)
whe e Ψ = −(˜u1+ ˜u2).
C. E o equa ion p ope ies
1) PR condi ion on G(s):The map G(s)is:
G(s) = −C(sI −Acl)Hcl (29)
2Wi h an abuse o no a ion, we will use µ(y) o deno e he exp ession o µ(x3), in he shi coo dina e y+ωd, i.e. µ(x3) = µ(y+ωd) = µ(y).
No e ha a y= 0, we ha e µ(y= 0) = µ(ωd) = µ∗.
June 6, 2007 DRAFT
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17
wi h C= [0 0 1 0], o equi alen ly:
G(s) = s(a2s2+a1s+a0)
b4s4+b3s3+b2s2+b1s+b0
(30)
The e o equa ion and upda ing ule o ˜uha e been designed in such a way ha he esul ing map G(s)has
ela i e deg ee one. This condi ion is necessa y o ob ain PR and SPR unc ions. The e i ica ion ha G(s)is PR
can be done di ec ly on he iple s o ma ices (Acl, Hcl, C)as demons a ed in [30] o SPR unc ion. Adap ing
his esul o PR unc ions and using ou no a ion a hand, esul s in he ollowing elaxed condi ions: conside he
ans e unc ion G(s) = −C(sI −Acl)Hcl.G(s)is PR i and only i : 1) CAclHcl >0,2)Acl is s able, 3) he
ma ix Acl(I−(1/CAclHcl)AclHclC)Acl has no eigen alues on he open nega i e eal axis (−∞,0).
The i s condi ion is easy o compu e in e ms o model pa ame e s. This gi es CAclHcl = (c+db)/J2
b>0,
and always holds om he physics o he sys em. The second condi ion is also e i ied since Acl is designed o be
s able. The las condi ion is mo e in ol ed, bu i can be easily checked nume ically. Fo ypical alues o d ills ing
sys em model pa ame e s and -con ol gains conside ed in his pape , i is possible o show ha condi ion 3) holds.
No e also ha by con inui y o he eigen alues wi h espec o he ma ices pa ame e s, he e will exis s a ce ain
deg ee o obus ness o his condi ion wi h espec he model unce ainly.
Consequen ly we ha e ha G(s)is a Posi i e Real (PR) unc ion, and hence om he Kalman-Yacubo ich-Popo
Lemma [16], he ollowing p ope y holds: ∃P=PT>0, Q =LTL≥0such ha :
AT
clP+P Acl =−Q=−LTL≤0(31)
PHcl =−C(32)
The e o e, as a consequence we ha e he ollowing wo p ope ies o he linea map G(s):
•G(s)is a passi e ela i e o V(e) = eTP e, and
•G(s)has a ini e L2-gain: γ2(G) = supω|G(jω)|<∞
2) Boundedness o signal Ψ( ):F om he de ini ions o ˜u1and ˜u2in Equa ions (27) and (28), oge he wi h he
assump ion ha he adap a ion mechanism yields alues in he ange ˜u∈(−u0,0], i ollows ha bo h signals, ˜u1
and ˜u2, a e bounded, ha is:
||˜u1||∞= sup
≥0|˜u1| ≤ u0<∞,(33)
||˜u2||∞= sup
≥0|˜u2| ≤ 2·u0<∞.(34)
Hence ||Ψ( )||∞≤3·u0.
3) Boundedness o he ou pu y( ):Since G(s) : Ψ 7→ yis a lineal s able map, he ou pu signal yis also
bounded, i.e.
Ψ∈L∞⇒y∈L∞(35)
4) Sec o condi ion on ∆:Wi h ega d o Figu e 11, he ou pu o he map ∆can be seen as a dis u bance
ac ing on he closed loop sys em esul ing om he ope a o s G(s)in eedback connec ion wi h nonlinea ope a o
Γ.
June 6, 2007 DRAFT
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18





µ( ˙ϕb)
˙ϕb
µS
µC
s




∆
y
−ay
by
a) b)
Fig. 12. No malized ic ion unc ion (a). ∆(y)lies a he in e al [a, b](b).
Figu e 12-(a) shows he memo yless ic ion map used o his s udy. No e ha as he s eady-s a e o a o y bi
speed (ωd) is in gene al much la ge han he S ibeck eloci y s, we can hen assume ha µ∗=µC. The e o e,
aking in o accoun ha y=e3= ˙ϕb−ωd, he ou pu o block ∆will ha e he p o ile shown in Figu e 12-(b).
This ope a o belongs o he cone sec o [a, b]as displayed in he same Figu e (see [33] o u he discussion on
sec o de ini ions). Fo mally his is s a ed as ollows.
The nonlinea ope a o ∆(y)belongs o he sec o [a, b]i he ollowing holds ue:
•∆(0) = 0
•a≤∆(y)
y≤b,∀y≥0, o equi alen ly,
•ay2≤y∆(y)≤by2,∀y∈ ℜ
In ou case, he alues o aand ba e:
a=−µS−µC
ωd
u0(36)
b=µS+µC
ωd
u0(37)
and consequen ly, he map ∆has also ini e L2-gain, which is bounded by:
γ2(∆) ≤max[|a|,|b|](38)
5) Block ans o ma ion: As i can be seen in Figu e 12-(b), he map ∆is almos passi e, since almos he whole
diag am is wi hin he i s and hi d quad an s. This cha ac e is ic is gene ic, as he di e ence be ween b eak-away
and Coulomb ic ion le els is gene ally small (ais small when compa ed o b).
June 6, 2007 DRAFT
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Figu e 13 shows a possible block ans o ma ion, whe e he ollowing new ope a o s, ∆∗, and Γ∗a e de ined:
∆∗:y7→ (˜u2+εy)
Γ∗:y7→ (˜u1−εy)








+
+
+
-

-
-
∆
ε
G(s)
Γ
ε
y
∆∗
Γ∗
Ψ
Fig. 13. Modi ied Block Diag am.
Wi h his ans o ma ion, i can be easily p o ed ha he map ∆∗is passi e i he alue o εis aken such ha
ε=|a|, as can be seen in Figu e 14.
ε=|a| ⇒ Z
0
y(˜u2+εy)d ≥0(39)
Wi h his new eedback con igu a ion, he p oblem o designing a s able upda e law o ˜u( )is equi alen o
inding a unc ion Φ(y), and pa ame e condi ions, such ha he ans o med ope a o Γ∗de ines a passi e map.
This design s a egy esul s om well known p ope ies o eedback in e connec ed passi e sys ems.
The nex subsec ion uses such a esul o demons a e he s abili y p ope ies o one possible candida e upda e
ule.
D. D-OSKIL upda ing law
Unde he p emise ha he comple e o m o he upda e law should also include a sui ed p ojec ion ope a o
ensu ing ha he a ia ion o ˜uis limi ed o he admissible pa ame e s ange, he ollowing upda ing ule will be
analyzed.
June 6, 2007 DRAFT
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20



y
∆∗
ε
Fig. 14. P o ile o map ∆∗.
Le us conside he nonlinea unc ion Φ(y):
Φ(y) = λ y sgn(µ(y)) λ≥0(40)
No e ha his choice is condi ioned by he abili y o compu ing he sign o µ(y). Conside ing he o m o he
ic ion model o his s udy, he sign o µ(y) = µ( ˙ϕb−ωd), can be compu ed i ˙ϕbcan be measu ed, o a leas ,
obse ed as shown in simula ions la e on. We p oceed acco ding o his hypo hesis in wha ollows.
E. S abili y analysis
Lemma 1: Le ρ > 0be an a bi a ily posi i e cons an , and λ,σbe such ha he ollowing design inequali y
holds,
λ
σ≥µS
µC−1u0
ωd
+σ
µC
ρ(41)
whe e µS
µC≥1. Then map Γ∗:y7→ (µ(y)˜u−εy)is s ic ly inpu passi e, i.e.
I=Z
0
(µ(y)˜u−εy)y≥ρZ
0
y2−β0(42)
wi h β0=ymax
σ2u0>0.
P oo : Le Ide ine he in eg al o he inpu -ou pu p oduc o he ope a o Γ∗, i.e.
I=Z
0
(µ(y)˜u−εy)y=Z
0
µ(y)˜uy −Z
0
εy2
Subs i u ing ˜u om Equa ion (23) in he abo e exp ession gi es,
I=1
σZ
0
µ(y)Φ(y)y−1
σZ
0
µ(y)y˙
˜u−Z
0
εy2
F om sec ions VII-C.2, and VII-C.3, signals yand µ(y)ha e been shown o be bounded. Le no e hese bounds
as: |y|< ymax,|µ(y)|<1. The e o e,
June 6, 2007 DRAFT
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21
I≥1
σZ
0
µ(y)yΦ(y)−Z
0
εy2−ymax
σZ
0
˙
˜u
Taking now Φ(y) = λ y sgn(µ(y)), gi es
I≥Z
0
(λ
σ|µ(y)|−ε)y2−ymax
σ|˜u( )−˜u(0)|
≥Z
0
(λ
σ|µ(y)|−ε)y2−ymax
σ2u0
≥Z
0
(λ
σµC−|a|)y2−β0
whe e he las inequali y is ob ained by using he lowe bound on |µ(y)|, i.e., |µ(y)| ≥ µC, he de ini ion o
ε=|a|(wi h aas gi en in Equa ion (36)) and he cons an β0=ymax
σ2u0. Finally, in oducing he condi ion (41)
in he abo e exp ession, gi es he ollowing lowe bound on I:
I≥Z
0
(λ
σµC−|a|)y2−β0≥ρZ
0
y2−β0
which p o es he lemma.
Rema k 1: The condi ion (41) exhibi s se e al in e es ing p ac ical ea u es. I ela es he design pa ame e s (σ,
λ) as a unc ion o physical d ills ing sys em cha ac e is ics such as he nominal WoB (u0), he ock ic ion
ea u es (µS−µC), and he desi ed o a ional eloci y (ωd). The pa ame e ρas shown la e , p o ides a measu e
o he con e gence a e o he ou pu y o ze o.
We a e now in a posi ion o es ablish he main s abili y esul .
Theo em 7.1: Conside he closed-loop sys em o Figu e 13 wi h G(s),Γ∗,∆∗holding he ollowing p ope ies:
(i) G(s)is a PR ope a o sa is ying (31)-(32)
(ii) ∆∗is a passi e map sa is ying (39)
(iii) Γ∗is a s ic ly inpu passi e map sa is ying (42), i.e. design pa ame e s a e such ha he condi ion (41) holds.
Then, (e∗,˜u∗) = (0,0) is a globally asymp o ically s able equilib ium o he conside ed closed-loop sys em.
P oo : Le us ake he ollowing scala unc ion:
V(e, ˜u) = 1
2eTPe +Z
0
y(˜u2+εy) + I(˜u, y) + β0−ρZ
0
y2(43)
F om (39) and (42), we ha e ha V(e, ˜u)is semi-posi i e de ini e.
Compu ing he ime-de i a i e o V(e, ˜u), and using he p ope ies (i)−(iii)o he heo em, esul s in:
˙
V(e, ˜u) = −1
2eTLTLe −ρy2≤0,∀e, ˜u(44)
The e o e, om las Equa ion, we ha e ha y→0wi h a a e depending on he alue o ρ. The es o he p oo
ollows om he applica ion o he LaSalle’s in a iance p inciple. F om Equa ion (23), we can see ha i y→0,
June 6, 2007 DRAFT
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22
0 50 100 150
0
10
20
30
40
Time[s]
Ro a o y speed [ ad/s]
Ope a ion unde DOSKIL
Su ace
Downhole
0 50 100 150
0
1
2
3
4x 104
Time[s]
Weig h on Bi [N]
Fig. 15. Simula ion o D-OSKIL scheme wi h σ= 0.3and λ= 2.000.
oge he wi h he ac ha σis a posi i e cons an and Φ(0) = 0, gi es ha ˜u→0. Finally, his implies ha he
wo las e ms in Equa ion (22) also ends o ze o, i.e.
lim
→∞ [µ(y)˜u+ ˜µ(y)u0] = [µ(0)0 + ˜µ(0)u0] = 0
since µ(0) = µ∗=µC, and ˜µ(0) = µ(0) −µ∗=µ∗−µ∗= 0. The e o e, his esul s in
˙e=Acle+Hcl lim
→∞ [·] = Acle
So i can be concluded ha e→0, and hence ha e∗= 0, and ˜u∗= 0 a e a globally asymp o ically s able equilib ia.
VIII. SIMULATION EXAMPLE
In o de o demons a e he beha io o he p oposed adap i e law, simula ions o he d ills ing sys em con olled
unde he D-OSKIL mechanism designed in Sec ion VII-D a e shown in Figu es 15 and 16. The alues3 o sys em
model pa ame e s used in he simula ions a e p esen ed in Table I. In hese Figu es, he ypical p o iles in e ms
on o a o y eloci y, bo h in su ace and downhole, and sys em WoB a e shown.
As i can be obse ed, wi h he nominal weigh u0= 40000N, he sys em is unde a sus ained oscilla ion
egime. The D-OSKIL mechanism is ac i a ed a = 50s, and in bo h cases, he con olle is able o ex inguish
such oscilla ions, al hough he WoB p o iles ob ained a e qui e di e en .
3The nume ical alues o he d illing sys em pa ame e s acco ding o a 2000mlong d ills ing ha e been aken om [29].
June 6, 2007 DRAFT
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0 50 100 150
0
10
20
30
40
Time[s]
Ro a o y speed [ ad/s]
Ope a ion unde DOSKIL
Su ace
Downhole
0 50 100 150
2.5
3
3.5
4
x 104
Time[s]
Weig h on Bi [N]
Fig. 16. Simula ion o D-OSKIL scheme wi h σ= 1.0and λ= 2.500.
In Figu e 15 (wi h con ol pa ame e s λ= 2.000 and σ= 0.3) he D-OSKIl mechanism is able o ex inguish he
oscilla ions wi h a so e olu ion in he WoB con ol signal.
On he o he hand, in Figu e 16 (wi h con ol pa ame e s λ= 2.500 and σ= 1.0), he ansi ion om oscilla ion
egime o s abiliza ion pe iod is as e han he one ob ained in Figu e 15. The s abiliza ion ime o he alue o
WoB is also as e in Figu e 16, bu in his case some oscilla ions occu du ing he ansi ion.
This issue is due o he λ alue, when la ge alues o he λa e chosen a sha p WoB alue ansi ion is ob ained
in he swi ching ins an o ime (in ou simula ions = 50s).
F om a p ac ical poin o iew, and in o de o a oid oscilla ions in he con ol signal, he pa ame e alues
p oposed in Figu e 15 seem o be mo e app op ia e.
IX. OBSERVER-BASED DESIGN
In his sec ion we p esen some ex ensions o he p e ious con ol which has been s udied and designed unde
he hypo hesis o he measu e o he bi o a ional eloci y ˙ϕb. In his sec ion we i s p o ide an al e na i e way
o ge his measu e ough a s a e obse e .
A. Obse e Design
The obse e is designed on he basis o open-loop equa ion (8). Tha is on
˙x=Ax +B + (Hu)·µ(45)
yo=Cox= ˙ϕ (46)
June 6, 2007 DRAFT
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24
Following [35] we p opose o use he ollowing obse e based on he obse a ion o he o a y angula eloci y
yo= ˙ϕ :
˙
ˆx=Aˆx+B + (Hu)·ˆµ+Ko+βΓΓTCT
o(yo−Coˆx)(47)
˙
ˆµ=βΓTCT
o(yo−Coˆx)(48)
˙
Γ = [A−KoCo] Γ + (Hu)(49)
whe e: Γis a (3 ×1) ime- a ying ec o , β > 0is a posi i e scala , ˆx, and ˆµa e he s a e and ic ion coe icien
es ima es espec i ely, yois he measu ed ou pu , Kois a (3 ×1) obse e ec o gain, and Co= [0,1,0]. No e
ha Co6=C.
The obse e no only p o ides an es ima e o he bi o a ional eloci y ˆx3, bu also p o ide an es ima e o he
ic ion coe icien ˆµwhich can be use ul o o he moni o ing pu poses. The obse e , as indica ed in [35], esul s
in a globally exponen ially s able obse e p o iding he ollowing hypo hesis hold:
•µis cons an
•Exis s a ma ix Kosuch ha (A−KoCo)is s ic ly s able ma ix, i.e. The cons an pai (A, Co)is de ec able.
•u( )is pe sis en ly exci ing, i.e. ∃δ, T > 0such ha he ollowing inequali y is sa is ied:
Z +T
Γ(τ)TCT
oCoΓ(τ)dτ > δ > 0
Le commen he p ac ical implica ion o he p e ious hypo hesis.
The i s hypo hesis assumes ha he ic ion coe icien is cons an , o e en ually slow- ime a ian 4˙µ≈0. No e
ha his app oxima ion is o en assumed in he con ex o obse e design wi h unknown inpu s, bu also in he
con ex o adap i e con ol. He e his hypo hesis means ha he a e o a ia ion o he ock ic ion coe icien does
no exhibi subs an ial changes du ing he d ill-ope a ion. E en i he d illed su aces may ha e di e en ic ion
cha ac e is ics, he a e o pene a ion (d illing-speed) emains small.
The second hypo hesis co espond o he necessi y obse a ion p ope y need o build he obse ed. By inspec ing
his condi ion, we can see ha he sys em obse abili y is in a ian wi h espec he ma ic Aand Co.
Finally, he las p ope y is necessa y o he obse e o con e ge. No e ha as he “adap a ion” is done unde
a single pa ame e µ, he equi ed condi ion is weak and will be simple o ul ill. To see his no e ha he pai
(A−KoCo, H)is con ollable and he pai (A−KoCo, Co)is obse able, hen he pe sis en ly exci ing condi ion
is easily e i ied i he WoB o ce is no equal o ze o, i.e. u( )>0. A de ailed jus i ica ion o his can be ound
in [11].
B. Simula ion wi h he obse ed-based con olle
The o iginal con olle has he o m
˙
˜u=−σ˜u+λ(x3−ωd)·sgn(µ(x3−ωd)) (50)
4In his case, i can also be shown ha s abili y (no asymp o ic) ollows is p ese ed
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