Par aram ameteriza eterization ion of Al All State St - - PowerPoint PPT Presentation

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Par aram ameteriza eterization ion of Al All State St - - PowerPoint PPT Presentation

Conferen ence ce on Decision cision and Contr ntrol ol 2018 18 WeB05 B05 Large-Scale Scale Systems ems Par aram ameteriza eterization ion of Al All State St te-Feedbac eedback k Retr etrof ofit it Co Contr ntroller ollers


slide-1
SLIDE 1

Par aram ameteriza eterization ion of Al All St State te-Feedbac eedback k Retr etrof

  • fit

it Co Contr ntroller

  • llers

Dec. . 19th, h, 2018 18 Hampei mpei Sasa sahar hara, a, Takayuk yuki i Is Ishizak zaki, i, Ju Jun-ic ichi hi Im Imura

Tokyo

  • tech.,

., Japan an

Conferen ence ce on Decision cision and Contr ntrol

  • l 2018

18 WeB05 B05 Large-Scale Scale Systems ems

slide-2
SLIDE 2
  • 1. Intr

troduc

  • duction

tion

Outl tline ine

  • De

Definitions itions

  • Ch

Char arac acteriz terization tion of ret etrof

  • fit

it co contr troll

  • ller

ers with th inter terconnec

  • nnection

tion si signal

  • 3. Retr

trof

  • fit

it contr troller

  • llers

s with thout

  • ut

inter terconnec

  • nnection

tion si signal

  • 4. Co

Conclus lusion ion 2.

  • 2. Exi

xist sting ng Res esults ts on Ret etrof

  • fit

it Co Contr trol

  • l
slide-3
SLIDE 3

Co Cont ntrol

  • l of
  • f La

Large-Sc Scale ale Sy Syst stems 1/16

16 entir tire e model: el: unavaila ailable le partia tial model: del: avail ilable le

?

des esign gn How w to to synth thesi esize e a c a contr trol

  • ller

ler wi with th th the e ac acce cess

  • nly

y to to th the e par artia tial l model el informa

  • rmati

tion

  • n?

contr ntrol

  • l of a comple

mplex x large-scale scale sy syst stem em

funda ndament mental al prob

  • blem

em

slide-4
SLIDE 4

Multi ltiple ple Oper perator tors

2/16 16 su suppose: pose: multiple tiple oper erato tors

  • ther

her oper erator

  • rs

design sign independen pendently tly

  • ther’s control actions may vary

?

How w to to synth thesi esize e a c a contr trol

  • ller

ler th that t ca can dea eal wi with th th the e possibly var arying g en environment

  • nment?

?

?

funda ndament mental al prob

  • blem

em (a (alt. t.)

slide-5
SLIDE 5

Exa xample: mple: Power er Syst stem em

3/16 16

  • multiple

ltiple ISOs Os (inde ndepend pendent ent system tem oper erator) tor)

?

  • too large

e to capt ptur ure e the entir ire syste stem m model del

  • other

r ISOs Os may chang nge their ir control

  • l polic

licy Objectiv jective: e: impr mprove e the contr trol

  • l perform
  • rman

ance ce by attac achi hing ng (retr trof

  • fitting

tting) ) a contr troll

  • ller

er only y wi with h the parti tial al model del

slide-6
SLIDE 6

Retr etrof

  • fit

it Contr trol

  • l

existing isting: : entir ire e system stem model del novel: el: local al model el inf nforma

  • rmation

tion

ret etrof

  • fit

it co cont ntrol

  • l [1

[1]

  • stabili

bility ty assuri uring ng contr trol only ly with th the e local al model el 4/16 16

[1] T. Ishiz izak aki, , T. Sadamoto amoto, , J. Imura, , H. Sandbe berg, , K. H. Johansson ansson, “Retrofit Control: Localization of Controller Design and Implementation,” Automa

  • matic

tica, vol. . 95, pp. 336-346 346, , 2018. 18.

slide-7
SLIDE 7

Retr etrof

  • fit

it Contr trol

  • l

ret etrof

  • fit

it co contr trol

  • ller

ler: : st stabilit ity y pres eser erving ving co contr ntroll

  • ller

er

5/16 16

char aract acteriz erization tion under der an an as assumption tion [2 [2]

gene neraliza alization tion: : remo moving ving the e assumption (today’s talk) stability bility is preser served ed

[2] H. Sasahara, et al., “A Characterization of All Retrofit Controllers,” ACC, 2018.

slide-8
SLIDE 8
  • 1. Intr

troduc

  • duction

tion

Outl tline ine

  • De

Definitions itions

  • Ch

Char arac acteriz terization tion of ret etrof

  • fit

it co contr troll

  • ller

ers with th inter terconnec

  • nnection

tion si signal

  • 3. Retr

trof

  • fit

it contr troller

  • llers

s with thout

  • ut

inter terconnec

  • nnection

tion si signal

  • 4. Co

Conclus lusion ion 2.

  • 2. Exi

xist sting ng Res esults ts on Ret etrof

  • fit

it Co Contr trol

  • l
slide-9
SLIDE 9

Def efini inition tion: : Retr etrof

  • fit

it Contr troll

  • ller

er

ca case 1: e 1: ca case 2: e 2:

is any element ment s.t. t.

De Definition ition

the syste stem m for any s.t. t.

Env.

: the inter terconnected connected system em is stable le

is called lled a retrof

  • fit

it contr troll

  • ller

er if it stabili bilizes es is stable

6/16 16

slide-10
SLIDE 10

Equ quiv ivalent alent Conditio dition

: inter ercon connection nection signals nals : measur surement ment, , contr ntrol

The heor

  • rem

em

is a r a ret etrof

  • fit

it co contr troll

  • ller

er an and

loop p transf ansfer er matrix rix : arbitr itrary ary

: as assumed ed to to be sta e stable

becau cause se

co constr straine ained d Youl ula par arame ameteriza terization tion

7/16 16

slide-11
SLIDE 11

Two Cla lasses sses of Retr etr. . Ctr trl. l.

: retr trof

  • fit

it contr trolle ler

  • 1. Ou

Output put rectif ctifying ying retr trof

  • fit

it contr ntroller

  • ller
  • 2. Input

put rectif ctifying ying retr trof

  • fit

it contr ntroller

  • ller

8/16 16 linear ear, but rather ther gener eral al

sim imple le struct uctur ure, , easy asy to

  • desi

sign gn

De Definition ition

hard to to give e the solutions utions explicitly licitly

slide-12
SLIDE 12

Output tput Recti ectifying fying Retr etr. . Ctr trl. l.

Ou Output put Rectif ctifying ying Retr trof

  • fit

it Contr troller

  • ller

Assu sumpti mption

  • n

can n be fed back

Theo eorem em

All outpu put t rectifying ctifying retr trof

  • fit

it contr ntroller

  • llers

s have e the st structu ucture

( )

: stabil biliz izes es (loca cally lly st stabilizing bilizing contr ntroller)

  • ller)

9/16 16

slide-13
SLIDE 13

Des esign ign Criteri iterion

  • n

(Youla ula paramet ameter r w.r.t. .t. ) : affine ine funct nctions ions w.r.t. .t.

des esign gn prob

  • blem:

em: red educ uced ed to to an an unco constr train ained ed co convex x optimi timiza zation tion

resu sultant ltant con

  • ntr

trol

  • l system

stem

10/16 /16

slide-14
SLIDE 14
  • 1. Intr

troduc

  • duction

tion 2.

  • 2. Exi

xist sting ng Res esults ts on Ret etrof

  • fit

it Co Contr trol

  • l

Outl tline ine

  • De

Definitions itions

  • Ch

Char arac acteriz terization tion of ret etrof

  • fit

it co contr troll

  • ller

ers with th inter terconnec

  • nnection

tion si signal

  • 3. Retr

trof

  • fit

it contr troller

  • llers

s with thout

  • ut

inter terconnec

  • nnection

tion si signal

  • 4. Co

Conclus lusion ion

slide-15
SLIDE 15

Retr etrof

  • fit

it Contr troll

  • ller

er w/ w/o

11/16 /16 What t if the assumption umption is not not sati tisf sfied? ied? Main in idea: : regar arding ding the states tes actua tuated ted by the e inter er- connection nnection si signals als as s new inter terconnecti connection

  • n si

signals nals

Assu sumpti mption

  • n

can n be fed back The struct uctur ure provide vided d that How w to synthe thesiz size e a retr trofit it contr troller ler? Consider sider state te-feedbac edback retr trof

  • fit

it contr trolle lers s without hout

slide-16
SLIDE 16

Exa xample mple

12/16 /16 Suppose pose the e direct ectly y affec ected ted st state te by y : : Example: mple: , ( are e omitted) tted)

  • 1. virtual

tual inter erconnecti connection

  • n signal

gnal to the lower er dy dynam amic ics

  • 2. design

sign a retr trof

  • fit

it contr trol

  • ller

ler for r the lower er dynamics amics : inter ercon connecti nection

  • n signal

nal

slide-17
SLIDE 17

Exa xample mple

12/16 /16 Decompo compose se the state te by We consider sider the dynamics amics w.r.t. .t. regar arding ding as s a new w inter erconn connection ection si signal nal elimina minated ted

slide-18
SLIDE 18

Exa xample mple

13/16 /16

Dynam amics ics w.r.t. t.

Design ign a retr trof

  • fit

it contr ntroller

  • ller

accor cording ding to the figur ure wher ere the e sa same e st struct uctur ure

It t has as bee een proven en th this s st structur cture e is a s also so nec eces essa sary ry

(the he previous ious case) e)

slide-19
SLIDE 19

Par arameteriza ameterization tion

Assumpti sumption

  • n 1

canno nnot be fed d back

Theo eorem em

All st state te-feedbac eedback retr trof

  • fit

it contr ntroller

  • llers

s have e the st structu ucture is a locally ally stabiliz ilizing ing contr trolle ler 14/16 /16

Assu sumpti mption

  • n 2

state te-feedbac eedback (for

  • r the precise

ecise statement, tement, see our r paper er)

slide-20
SLIDE 20

Rough ugh Sketc etch h of Proof

  • of

15/16 /16 1) 1) linear ear equation ion in 2) 2) : the space ce of all real al rational tional trans ansfer er funct nctions ions is char aract acteriz rized ed by restricting stricting to be proper per, , we have e the e struct ucture let we can n show

  • w that

is a locally ally stabiliz ilizing ing contr trolle ler

slide-21
SLIDE 21
  • 1. Intr

troduc

  • duction

tion 2.

  • 2. Exi

xist sting ng Res esults ts on Ret etrof

  • fit

it Co Contr trol

  • l

Outl tline ine

  • De

Definitions itions

  • Ch

Char arac acteriz terization tion of ret etrof

  • fit

it co contr troll

  • ller

ers with th inter terconnec

  • nnection

tion si signal

  • 3. Retr

trof

  • fit

it contr troller

  • llers

s with thout

  • ut

inter terconnec

  • nnection

tion si signal

  • 4. Co

Conclus lusion ion

slide-22
SLIDE 22

Conc nclusi lusion

  • n

16/16 /16

Than ank k you for your r kind d att tten ention tion

Retr trof

  • fit

it Co Cont ntrol

  • l

novel el co contr ntrol

  • l th

theor eory for lar arge-scal cale e systems wh wher ere e multiple tiple oper erator tors

  • st

stability ty pres eser erving ving

  • si

simp mple e st struct ctur ure

  • only wi

with th loca cal model el

Req equir uirement ement: