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The PID and 2DOF control of the integral system-influence of the 2DOF parameters and practical implementation

Abstract

The article deals with the issue of using the Two Degree of Freedom (2DOF) PID controller to control an integral system and investigates by the simulation and experimental measurement what influence it has on the course of the control process compared to standard PID controller. The controlled plant is represented by the DC electric motor with worm gear and its output shaft rotation angle. The article studies the effect of the added parameters of the 2DOF controller on the dynamics of the closed-loop control. The influence of these parameters is then evaluated using the quality of feedback control criteria ITAE. The paper studies how the overshoot of the controlled variable during the setpoint step is eliminated using 2DOF control theory. The overshoot is caused due to an aggressive tuning of the controller to eliminate the disturbance effect on the controlled variable of the integral plants with dead zones.

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The PID and 2DOF control of the integral system-influence of the 2DOF parameters and practical implementation

Author: Guráš, Radek
Publisher: Sage
Year: 2022
DOI: 10.1177/00202940221076961
Source: https://dspace.vsb.cz/bitstreams/9939b3be-0e99-4fd2-98c6-dc9459dff5a5/download
O iginal Pape
Measu emen and Con ol
2022, Vol. 55(1-2) 94–101
© The Au ho (s) 2022
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DOI: 10.1177/00202940221076961
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The PID and 2DOF con ol o he in eg al
sys em - influence o he 2DOF pa ame e s
and p ac ical implemen a ion
Radek Gu as
1
, Radek S ambe sky
1
and Mi osla Mahdal
1

Abs ac
The a icle deals wi h he issue o using he Two Deg ee o F eedom (2DOF) PID con olle o con ol an in eg al sys em and
in es iga es by he simula ion and expe imen al measu emen wha influence i has on he cou se o he con ol p ocess
compa ed o s anda d PID con olle . The con olled plan is ep esen ed by he DC elec ic mo o wi h wo m gea and i s
ou pu sha o a ion angle. The a icle s udies he e ec o he added pa ame e s o he 2DOF con olle on he dynamics o
he closed-loop con ol. The influence o hese pa ame e s is hen e alua ed using he quali y o eedback con ol c i e ia
ITAE. The pape s udies how he o e shoo o he con olled a iable du ing he se poin s ep is elimina ed using 2DOF
con ol heo y. The o e shoo is caused due o an agg essi e uning o he con olle o elimina e he dis u bance e ec on
he con olled a iable o he in eg al plan s wi h dead zones.
Keywo ds
in eg al sys em, 2DOF PID con olle , con ol sys em, DC mo o
Da e ecei ed: 9 Sep embe 2021; accep ed: 8 Janua y 2022
In oduc ion
In he indus ial en i onmen oday, he posi ion con ol o
a ious de ices is a c ucial ask. We a e inc easingly en-
coun e ing equi emen s o imp o e he accu acy and e fi-
ciency o p oduc ion p ocesses, whe e i is necessa y o
eplace he posi ioning o he limi swi ches wi h eedback
con ol o achie e op imal condi ions o he echnology. This
ask hus e y o en leads o in eg al sys em con ol, o en
wi h nonlinea p ope ies, as desc ibed in he pape .
1
The ypical app oach o he eedback con ol is using he
PD con olle .
2–4
The e is no pe manen con ol de ia ion o
linea in eg al sys ems such as pneuma ic, elec ic, o hy-
d aulic sys ems unless he e a e non-linea i ies like s a ic
ic ion. PID con ol can lead o emo ing he pe manen
con ol de ia ion in such sys ems.
5–7
Howe e , he PID
con ol may no always be ideal o his ask, leading o
o e shoo s and unwan ed slip and slide e ec s. The e o e, i
is o en beneficial o use o he algo i hms ha can handle he
p oblem be e . One such op ion is o use he PID con olle
algo i hm wi h wo deg ees o eedom (2DOF).
8–13
Two Deg ee o F eedom PID con olle s add se poin
weigh s o he p opo ional and de i a i e e m o he al-
go i hm o ensu e ha he e ec o he dis u bance is quickly
elimina ed while supp essing o e shoo when acking he
se poin .
8,9
Thedeg eeo eedomo acon olle isdefined as he
numbe o closed-loop ans e unc ions ha can be uned
independen ly,
14–18
which p o ides addi ional op ions o uning
he con olle ega ding change o se poin o dis u bance alue.
Ac i e dis u bance ejec ion con ol, which uses he ex-
ended s a e obse e
19–21
o he Dis u bance obse e ,
22,23
can
be used as an al e na i e. Fo bo h o hese me hods, we a e
equi ed o c ea e he in e se model o he plan . The simpli-
fica ion o he 2DOF con olle is ha he fil e is applied o he
se poin signal and depends on al eady known PID pa ame e s
only. Due o ha , he implemen a ion o he 2DOF is also
possible wi hou he need o de ailed knowledge abou he
plan . 2DOF con olle can be uned manually o by quan i a i e
me hods as
9,24
based on educing he c i e ia desc ibed in
Chap e 6. o his pape . Ano he op ion is also he combina ion
o he 2DOF con olle wi h he dis u bance obse e .
25
The
same echnique can also be used wi h o he ypes o eedback
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1
Depa men o Con ol Sys ems and Ins umen a ion, VSB –Technical
Uni e si y o Os a a, Os a a, Czech Republic
Co esponding au ho :
Radek Gu as, Depa men o Con ol Sys ems and Ins umen a ion,
VSB –Technical Uni e si y o Os a a, 17. lis opadu 15/2172, Os a a
708 00, Czech Republic.
Email: adek.gu as@ sb.cz
loop con ol as Fuzzy con ol, which o e us he op ion o
design he esponse p ope ies based on expe expe ience, S a e
con olle , which allow us o design he con ol sys em based on
he ull s a e eedback, o F ac ionalPIDcon olwhe e he
de i a ion and in eg a ion e ms o PID con olle a e exchanged
wi h he ac ional-o de in eg a ion and de i a ion e m which
leads o ackle he p oblem o dead zones nonlinea i ies in
in eg al sys ems.
26
Fo bo h me hods, he addi ional fil e can be
added o al e na e he se poin signal. Howe e , he quan i a i e
design o he fil e o non-PID con ol is hen based on Me a-
heu is ic op imiza ion algo i hms.
27
The implemen a ion o he
2DOF fil e was published be o e in e . 28, whe e adi ional
2DOF is modified o 2DOF wi h an in e nal model o ime-
delay p ocesses. The combina ion o he 2DOF and F ac ional
PID con olle design was hen published in e . 29.In hescope
o his pape , we will ocus on he adi ional 2DOF PID
Con olle , whe e he design, implemen a ion, and compa ison
be ween he nume ical simula ions and ac ual single-chip
compu e implemen a ion.
Desc ip ion o he sys em
The in eg al sys em (see Figu e 1) is a DC mo o wi h a wo m
gea , whe e he con olled a iable is he angle o o a ion o he
ou pu sha . A esis ance senso p o ides he measu emen in a
po en iome ic se up. The A duino Nano mic ocon olle was
used as a model con ol sys em o coope a e wi h an ex e nal
AD con e e and an adap ing elec onic boa d.
The ac ion a iable is ealized ia a DC mo o d i e
(Pololu Simple High-Powe Mo o Con olle 18 15, see
Figu e 2 and Figu e 3) using a PWM signal and H-b idge
di ec ion swi ching as a esponse o he con olle ou pu . The
MOSFET swi ching ca ie equency o he d i e is 25 kHz.
All he pa ame e s o he d i e a e configu able h ough he
USB po and dedica ed so wa e.
The ou pu signal is an analog alue in he ange o 0–5V
p ocessed by a 12-bi AD con e e . The ange o he angle o
o a ion o he ou pu sha is app oxima ely 0–230°.
By i s physical na u e, he sys em i sel exhibi s nonlin-
ea i ies, some o which a e compensa ed by he algo i hm,
such as he ini ial insensi i i y o he mo o o he inpu signal
caused by ic ion and nonlinea exci a ion o he mo o coils.
This beha io is ela i ely supp essed by he o se o he
inpu signal o p e iously expe imen ally measu ed alues.
O he nonlinea i ies o he sys em we e neglec ed o his
wo k and conside ed in he iden ifica ion o he sys em by
selec ing he mos sui able sys em pa ame e s.
A duino nano was chosen as a sui able mic ocon olle -
based con ol sys em o con ol his plan . I s main ad an-
ages a e he possibili y o as and simple p og amming, easy
po abili y o code o o he simila boa ds, he possibili y o
p og amming om he MATLAB/Simulink en i onmen while
main aining a low-cos concep , andeasyimplemen a ionin o
exis ing ha dwa e, unlike e.g., gene al PIC MCU.
30
The desc ibed block diag am o he con ol sys em can be
seen in Figu e 2.Figu e 3 shows he elec onics im-
plemen a ion o he expe imen .
Theo y o he 2DOF PID con olle
Ou con ol sys em aims o calcula e he co ec con ol signal
o he inpu o he plan desc ibed abo e. Fo he con ol, we
a e going o use he linea eedback con olle . All he signals
will be p esen ed in he complex domain using he Laplace
ans o m, whose defini ion is:
XðsÞ¼L xð Þg ¼ Z
∞
0
xð Þes d (1)
Whe e he ime ( ) domain signal x( ) is ans e ed in o he
complex (s) domain X(s).
Figu e 1. DC mo o as in eg al plan .
Figu e 2. Block diag am o he con ol sys em.
Gu as e al. 95
The p ima y me hod o con olling he plan s a e Y(s) is
he P opo ional-In eg al-De i a i e (PID) (based on P o-
po ional, In eg al, and De i a i e e ms) con olle . The
con ol loop diag am can be seen in Figu e 4. This me hod
uses he eedback om he con ol signal Y(s), which is hen
compa ed wi h he wan ed (se poin ) signal W(s). The e o
signal can be calcula ed as:
EðsÞ¼WðsÞYðsÞ(2)
Using he con olle desc ibed by he ans e unc ion:
GRðsÞ¼UðsÞ
EðsÞ(3)
whe e U(s) is he con ol ac ion signal which is he inpu o
he con olled plan . The con ol plan ans e unc ion de-
sc ibes he dynamics o he plan :
GSðsÞ¼YðsÞ
UðsÞVðsÞ¼0
¼YðsÞ
VðsÞUðsÞ¼0
(4)
whe e he V(s) is he dis u bance.
Usually, du ing he design phase o he con olle design,
we se he expec a ion o he closed con ol loop o be:
The ans e unc ion o he se poin o he ou pu is equal
o one.
GwyðsÞ¼YðsÞ
WðsÞVðsÞ¼0
→1 (5)
The ans e unc ion o he dis u bance o he ou pu is
ze o.
G yðsÞ¼YðsÞ
VðsÞWðsÞ¼0
→0 (6)
Due o he physical p ope y o he mechanical sys em, his
expec a ion canno be implemen ed as e e y s a e con ain some
dynamics, and he sys em canno c ea e he co esponding
con ol signal agains he u u e unknown dis u bance V(s).
The di e ence be ween he s anda d PID con olle and
2DOF PID con olle will be p esen ed on he plan , which
was desc ibed abo e, and he expe imen al iden ifica ion
(desc ibed in he nex chap e ) lead o he ans e unc ion:
GsðsÞ¼ k1
sðT1sþ1Þ(7)
whe e k
1
is he plan gain, and T
1
is he ime cons an due o
ine ia.
Fi s , le us desc ibe he p ope y o he PID con olle
whose ans e unc ion is:
GRðsÞ¼kp1þ1
TIsþTDs(8)
whe e k
P
is he con olle gain, and i is equal o he p opo ional
(posi ion) eedback, T
I
is he in eg al cons an o he con olle , and
he k
P
/T
I
is equal o he in eg a ion o he con ol e o whose
unc ion is o ob ain Y(s) = W(s) in he s eady s a e. The las e m is
he de i a i e e m con aining he con olle ’s de i a i e cons an
T
D
,whe ek
P
T
D
is equal o he de i a ion ( eloci y) eedback.
The 2DOF con olle has a simila s uc u e. The only
di e ence is he fil e wi h he wo cons an s band c. Thanks
o hese pa ame e s, we can con ol he influence o he
se poin a iable compa ed o he ou pu a iable. The 2DOF
con olle can be desc ibed wi h he equa ion:
UðsÞ¼KP8
>
<
>
:
bWðsÞYðsÞþ 1
TIs½WðsÞYðsÞ…
…þTDs½cWðsÞYðsÞ
9
>
=
>
;
(9)
I he b=1andc= 1, hen he 2DOF con olle is equi alen o
he common PID con olle . I he b=0andc=0 hen hefil e is
ully ac i e. We can di ide his con olle in o wo blocks- he
common PID con olle and a sepa a e fil e . A final diag am can
be seen in Figu e 5. Then he ans e unc ion o he fil e is:
GFðsÞ¼cTITDs2þbTIsþ1
TITDs2þTIsþ1(10)
The ans e unc ion o he se poin o he ou pu is equal
o:
Figu e 4. Closed loop con ol sys em diag am.
9
Figu e 3. Pic u e o he con ol sys em.
Figu e 5. Closed loop con ol sys em wi h inpu fil e .
3
96 Measu emen and Con ol 55(1-2)
GWY ðsÞ¼GSðsÞGRðsÞGFðsÞ
1þGSðsÞGRðsÞ(11)
GWY ðsÞ¼ k1kpðcTDTIs2þbTIsþ1Þ
T1TIs3þTDTIk1kpþTIs2þT1k1kpsþk1kp
(12)
F om his equa ion, we can see ha using he con en ional
PID con olle , we ob ain wo complex conjuga ed ze os.
Thei e ec can be canceled using he 2DOF con olle when
b¼0 and c¼0. I we se band c o di e en non-ze o o
non-one, he ze o can be al e ed.
I we use he subs i u ion:
GPðsÞ¼ k1kp
T1TIs3þTDTIk1kpþTIs2þT1k1kpsþk1kp
(13)
which is he ans e unc ion o he p opo ional sys em, we
ob ain he ans e unc ion om he se poin o he ou pu :
GWY ðsÞ¼GPðsÞþGPðsÞbTIsþGPðsÞcTDTIs2(14)
The fi s e m does no depend on any o he bo cpa-
ame e s, he second e m is he fi s de i a ion o he fi s e m,
and he influence can be con olled by he pa ame e b,and he
hi d e m is he second de i a ion o he fi s e m and can be
con olled by he pa ame e c.I bo cis nega i e, i can lead o
he unde shoo . bpa ame e can be used o make he sys em
esponse o he s ep se poin change mo e agg essi e. Pa ame e
cwill ha e only a minimal influence on he dynamics o he
sys em esponse o he s ep se poin change. Visible di e ences
will be no iceable igh a e he s ep se poin change.
The ans e unc ion o he dis u bance o he ou pu is
equal o:
G yðsÞ¼ GSðsÞ
1þGSðsÞGRðsÞ(15)
G yðsÞ¼ TIk1s
T1TIs3þTDTIk1kpþTIs2þT1k1kpsþk1kp
(16)
As you can see, in he s eady s a e G yðsÞ¼0. Also, his
ans e unc ion is no a ec ed by he 2DOF pa ame e s b
and c. The 2DOF PID con olle used o he expe imen al
e ifica ion in his pape is done by single chip compu e
implemen a ion.
31
Expe imen al iden ifica ion o he
in eg al plan
By di ec iden ifica ion wi h he s ep inpu signal, da a de-
sc ibing he p ope ies o he con olled sys em we e
ob ained.
The measu emen was pe o med by applying an inpu
signal o 50% o he maximum ange o he sys em inpu , and
he s ep esponse o he sys em o his signal was eco ded
(see Figu e 6). In he figu e, he alue o he ou pu a iable is
no malized o he maximal angle o he o a ion ange. The
same no maliza ion is also used in he ollowing pa ag aphs.
By p ocessing he inpu da a and no malizing he signals,
he sys em’s ans e unc ion was ob ained in he o m o an
in eg a ion sys em wi h fi s -o de ine ia.
GSðsÞ¼ 1
0:3039sð0:0603sþ1Þ¼3:2906
sð0:0603sþ1Þ(17)
Closed loop con ol
A con ol sys em was designed o he plan (sys em) de-
sc ibed by (17) based on he p e ious heo y. The PID
con olle pa ame e s we e uned using he nume ic op i-
miza ion me hod, and hey a e lis ed in Table 1.
The expe imen al measu emen was pe o med as a
esponse o a s ep change o se poin om he beginning o
he measu emen . A ime = 15 s, he e was a s ep change
o dis u bance in on o he plan . The exac p ocess was
nume ically simula ed in he MATLAB /Simulink en i-
onmen , whe e he iden ifiedsys emwascon olledbya
2DOF con olle wi h ac ion a iable limi a ion (see
Figu e 7). The pa ame e s (weigh s) o he inpu fil e we e
selec ed om he whole ange 0–1 and measu ed and
simula ed wi h he s ep o 0.2. The dis u bance is simula ed
by he so wa e d op o ac ion a iable ol age on he inpu
o he plan . The esul s o he measu emen s and simu-
la ions a e plo ed in Figu e 8.
6,7
Acco ding o he esul s, he influence o he bpa ame e is
significan ly g ea e han he cpa ame e when acking he
se poin in he o m o he s ep. P o ed also by he simula ion,
he bpa ame e supp esses he e ec o p opo ional e m and
elimina es he o e shoo o he con ol p ocess while he
esponse o a dis u bance s ep emains unchanged.
Figu e 6. DC mo o ou pu sha angle o he o a ion s ep
esponse.
Table 1. 2DOF PID Con olle unable pa ame e s.
k
P
T
I
T
D
bc
0.2012 2.577 0.056 0–10–1
Gu as e al. 97
The e ec o he indi idual e ms acco ding o (13) and
(14) a e shown in Figu e 9. We spli he h ee e ms in o
sepa a e cou ses ha gi e he o e all con ol sys em esponse
using he same basic PID unable pa ame e s and b= 0.4 and
c= 0.8.
Quali y o eedback con ol
Mul iple me hods can be used o e alua e he quali y o he
eedback con ol. As i was desc ibed ea lie , one o he
expec a ions o he closed-loop con ol is ha he ans e
unc ion o he se poin o he ou pu is equal o one. Tha also
means ha he e o should be ze o. Fo physical sys ems, we
wan he sys em e o o minimize as as as possible.
As an example, we can choose one o hese c i e ia o
e alua ing he se poin s ep change esponse cou se:
·In eg al o Absolu e E o (IAE)
IIAEðsÞ¼Z
∞
0
jeð Þjd (18)
·In eg al o Squa ed E o (ISE)
IISEðsÞ¼Z
∞
0
e2ð Þd (19)
·In eg al o Time mul iplied by Absolu e E o (ITAE)
IITAEðsÞ¼Z
∞
0
jeð Þjd (20)
whe e a lowe numbe means a as e con ol p ocess. All
hese me hods can be used o bo h non-oscilla ing and
oscilla ing p ocesses. The disad an age o IAE and ITAE is
ha i canno be calcula ed as a de i a i e o a ze o-c ossing
o absolu e alue is no defined. The e o e, hese me hods
can be calcula ed only nume ically. The ISE is defined, bu
he oscilla ing p ocesses ha e a lowe e o han non-
oscilla ing p ocesses. These me hods a e usually used o
he quan i a i e me hods o calcula ing he con ol a iables
as published in
9,24
. We calcula ed he ITAE in his a icle.
Nume ical simula ion is hen compa ed o he measu emen s.
The calcula ed esul s o di e en pa ame e s band ccan
be seen in ables: measu emen s in Table 2 (ITAE) and
Figu e 7. MATLAB/Simulink nume ical simula ion schema ic.
Figu e 8. Closed loop con ol ( ed –simula ed, g ay - measu ed).
Figu e 9. Compa ison o he influence o he 2DOF e ms (b= 0.4,
c= 0.8).
Table 2. Quali y o eedback con ol acco ding o ITAE c i e ia.
b/c 0 0.2 0.4 0.6 0.8 1
0 11.46 11.54 11.58 11.36 11.41 11.35
0.2 10.37 10.36 10.52 10.26 10.48 10.45
0.4 9.35 9.37 9.35 9.45 9.47 9.31
0.6 8.36 8.41 8.39 8.19 8.40 8.45
0.8 7.33 7.36 7.28 7.33 7.44 7.31
1 7.09 7.07 7.12 7.16 7.08 7.40
98 Measu emen and Con ol 55(1-2)

nume ical simula ions in Table 3 (ITAE). Bo h he ables a e
plo ed in he su ace g aph in Figu e 10 and Figu e 11
(simula ed).
As we can see om he esul s, he di e ences be ween he
simula ion and measu emen s con aining small nonlinea i ies
a e neglec able. The pa ame e chas only a iny influence on he
quali y, while lowe ing he bpa ame e slows down he e-
sponse. The esponse o he dis u bance is no a ec ed by he
2DOF con olle pa ame e s as s a ed abo e.
Using an inpu 2DOF fil e , supp ession o he o e shoo
o he con ol p ocess cou se is achie ed, while wi hou i , he
con ol p ocess cou se shows an o e shoo o app oxima ely
7% a a gi en se ing.
Conclusion
The pape shows ha using he 2DOF con olle , we ob ain
mo e flexibili y in designing he final desi ed sys em e-
sponse. The heo y was implemen ed in o he A duino-
based con ol sys em expe imen ally iden ified and con-
olled by he 2DOF PID con olle .
The ans e unc ion o se poin acking and he e-
ac ion o he ou pu o he dis u bance was calcula ed o
he in eg al sys em wi h he fi s -o de ine ia. The closed-
loop con ol using he ypical PID con olle con ains wo
ze os, which o he in eg al sys em makes he esponse
mo e agg essi e om he beginning a e he se poin s ep
change. Tha leads o as elimina ion o he dis u bance
change bu causes an o e shoo . This beha io can be
supp essed using he 2DOF PID con olle , whe e hese
ze os can be canceled by se ing he band cpa ame e s o
lowe alues. Using he bo cpa ame e s, we can also
design he dynamics o se poin acking wi hou a ec ing
he beha io o he closed-loop con ol sys em o he
dis u bances.
The measu emen and simula ion p o ed ha he
o e all influence o he bpa ame e is conside ably mo e
dominan when acking he se poin alue. Acco ding o
he c i e ia used o e alua e he quali y o he con ol
p ocess, you can conclude ha he se ling ime is no
significan ly ex ended (i we conside a su ficien ly na ow
ole ance band). Howe e , he se poin s ep unc ion e-
sponse o e shoo is supp essed, which can be e y im-
po an o some dynamic sys ems. Depending on he
se ings o he 2DOF fil e pa ame e s, we can hen achie e
an o e shoo - ee cou se while main aining he same
se ling ime. In he case o he pa icula sys em used, his
se ing is a ound he alue 0.8–0.9 o pa ame e b.
Decla a ion o conflic ing in e es s
The au ho (s) decla ed no po en ial conflic s o in e es wi h espec
o he esea ch, au ho ship, and/o publica ion o his a icle.
Funding
The au ho (s) disclosed eceip o he ollowing financial suppo
o he esea ch, au ho ship, and/o publica ion o his a icle:
This wo k was suppo ed by he Eu opean Regional De elopmen
Fund in he Resea ch Cen e o Ad anced Mecha onic Sys ems
p ojec , CZ.02.1.01/0.0/0.0/16_019/0000867 wi hin he Ope a-
ional P og amme Resea ch, De elopmen and Educa ion and he
p ojec SP2022/60 Applied Resea ch in he A ea o Machines and
P ocess Con ol suppo ed by he Minis y o Educa ion, You h
and Spo s.
ORCID iDs
Radek Gu as h ps://o cid.o g/0000-0002-8704-1395
Mi osla Mahdal h ps://o cid.o g/0000-0002-9720-2201
Table 3. Quali y o eedback con ol acco ding o ITAE c i e ia
(simula ed).
b/c 0 0.2 0.4 0.6 0.8 1
0 11.09 11.10 11.10 11.10 11.10 11.10
0.2 10.11 10.12 10.12 10.12 10.12 10.12
0.4 9.13 9.14 9.14 9.14 9.14 9.14
0.6 8.15 8.16 8.16 8.16 8.16 8.16
0.8 7.17 7.18 7.18 7.18 7.18 7.18
1 7.09 7.08 7.08 7.08 7.08 7.08
Figu e 10. Resul s o he ITAE c i e ion o di e en band c
pa ame e s.
Figu e 11. Resul s o he ITAE c i e ion o di e en band c
pa ame e s (simula ed).
Gu as e al. 99
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