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1 0 10 g u =[ τ ,τ ] torque θ θ x =[ θ ,θ , θ , θ ] θ θ ˙ ˙ ˙ ˙ m m l l m m Maple Matlab symbolictoolbox • debugging Matlab controltoolboxes • •

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(1)

mkqn libxz

zebefa yibdl ozip

:zeillkzexrd

ewae` ziteqdaeyza wtzqdloi` .mini`zn miaeyigaellnazeaeyzd lk z`xiaqdlyi

.xaqdk

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debugging

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Matlab

ly

control toolboxes

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zipkhze earjeqglzpnlr(zeye

Maple

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Matlab

ly

symbolic toolbox

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.zerbiin

m 1 m 2

l

2

l

1

x

1

x

2

g

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xe`izl ozipzkxrnd avn .

m 2

e

m 1

zeiz ewp zeqnze`vnp mdizevwa xy`

l 2

e

l 1

mkxe`y dqn

zkxrnd .

x = [θ 1 , θ 2 , ˙ θ 1 , ˙ θ 2 ] T

:avnxehweea onqpxy`

˙θ 2

e

˙θ 1

zeiziefd zeiexidnde

θ 2

e

θ 1

zeiefd i"r

g

dkiynd gek .

u = [τ 1 , τ 2 ] T

epnqp .drepzdixiv lr(

torque

) lezithpnen zlrtd i"rdxwal zpzip

.zakey`idyk

0

e`z ner zkxrndyk

10

ekxryxhnxt`ed

:zkxrnazegekd of`nz`zex`znd drepzdze`eeyn

(2)

u = M (θ 1 , θ 2 )

 θ ¨ 1

θ ¨ 2



+ v(θ 1 , θ 2 , ˙ θ 1 , ˙ θ 2 ) + g(θ 1 , θ 2 )

 θ ¨ 1 θ ¨ 2



= M(θ) −1 (−u + v(θ) + g(θ))

M =

 l 2 2 m 2 + 2l 1 l 2 m 2 cos(θ 2 ) + l 1 2 (m 1 + m 2 ) l 2 2 m 2 + l 1 l 2 m 2 cos(θ 2 ) l 2 2 m 2 + l 1 l 2 m 2 cos(θ 2 ) l 2 2 m 2



v =

 −m 2 l 1 l 2 sin(θ 2 ) ˙θ 2 2 − 2m 2 l 1 l 2 sin(θ 2 ) ˙θ 1 ˙θ 2

m 2 l 1 l 2 sin(θ 2 ) ˙θ 2 1



g =

 m 2 l 2 g cos(θ 1 + θ 2 ) + (m 1 + m 2 )l 1 g cos(θ 1 ) m 2 l 2 g cos(θ 1 + θ 2 )



zegeke milbetxhpvzegek ly xehwe `ed

v

.(

positive definite

`idz`fkke) dqn zvixhn dpekn

M

.(

g = 0

ykqt`zndf xehwe)dkiynd geknmiraepdzegeklyxehwe df

g

eqileixew

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control project files.zip

uaewa)ze`ad

Matlab

zeivwpetmkzeyxlz ner"d arn"-azkxrndzpigajxevl

zxfra zixnep divxbhpi`) sivx onfa zkxrnd ly divleniq zrvan

two link arm control •

oezp izlgzd avnn (

Matlab

a

ode45

ziivwpet ,dpzyn l eba onf rve 4 x qn

Runge Kutta

.

u(t, x)

dxwaziivwpetmroezponfoelga

m ewnksivxonfazkxrndly g` rvlydivleniqzrvan

arm noisy discrete control step •

zitvz dxifgn divwpetd .(dxwa yrx `ed

η

)

u + η

reaw dxwaze` dxwa ziivwpet mr j`

.(awrnjxevlmipezpdx`yz`dxifgndivwpetdsqepa)divleniqd rvseqaavndly(zyrex)

.divleniqzvixlyzil`efie dbvdl

show 2 link arm simulation •

.l"pdzeivwpetayeniyl ze`nbe

arm usage example1/2 •

(onlwopqnyenina yeniyl)ziadlibxzjezn

get kf P and K •

open loop

adxwa .1 wlg

aygpjk myl .dve`z menipinaexyiewa repirexfddvwy jkrexfdlydrepz xviildvxp dfwlga

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`l iteqonfa)iteq mewine,

x (0) = [x 1 (0), x 2 (0), ] = x 0

ifhxwdagxna izlgzd mewinoezp .1

:d`adxignd ziivwpetz`xrfnny(ihilp` iehia)

x (t)

lelqn `evnljilr.

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(re i

J = 1 2 t 2 f + 1

2 Z t

f

0

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inverse kinematics

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: 1

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2

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2

→ [−

π2

,

π2

]

l ebipaz`f,

y

e

x

lymipniqa

(3)

θ 2 = Atan2(s 2 , c 2 ) s 2 = sin(θ 2 ) = ±

q 1 − c 2 2

c 2 = cos(θ 2 ) = x 2 1 + x 2 2 − l 2 1 − l 2 2

2l 1 l 2

(a)

θ 1 = Atan2(x 2 , x 1 ) − Atan2(k 2 , k 1 ) k 1 = l 1 + l 2 cos(θ 2 )

k 2 = l 2 sin(θ 2 )

oezpyk 1 dl`y z`miniiwny

t = [0 : 0.01 : t f ]

mipnfa

x(t)

ikxrly xehwe (

Matlab

a) xev .3

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x f = [−0.5, 1]

e

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drepzdze`eeyn t"r(

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e

l 1 = l 2 = m 1 = m 2 = 1

zevixhnmr)

arm noisy discrete control step

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H

K +

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.(izin`davnlziaihi `ztqezk)zitvzyrxe(ievxddxwadze`lzi`xw`ziaihi `ztqezzxeva)

certainty equivalence

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z`xtyl zpnlr .

steady state Kalman gain

d zxfra avnjexrye i a onfa

LQR

zxwaoiaalyl

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l 1 = l 2 = m 1 = m 2 = 1

e

g = 10

ikegipd3-8zel`ya

(

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zix`pilzkxrnzlawl

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,

x 0 = [ π 2 , 0, 0, 0] T

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.

˙x = Ax + Bu

(4)

x 0

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e

g = 10

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u 0

e

A =

0 0 1 0

0 0 0 1

10 −10 0 0

−10 30 0 0

B =

0 0

0 0

1 −2

−2 5

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.

ol eby

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?

poles

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∆ = 0.1sec

avd (a)

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G

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qt` `id

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L

,

gain

xehwe`vn (`)

X

i=0

x T (i∆)Qx(i∆) + u 2 (i∆) 

Q =

1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1

zpnlr .

debugging

jxevl `l` (

dlqr

oebk)

control toolbox

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Riccati

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steady state

l

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poles

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zix`pild)zkxrndm`d .

y(t) = θ 1

xnelk,

θ 1

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observable

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covariance

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η

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u (t)

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σI

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u(t) = u(t) + η η ∼ N (0, σI)

lr ezrtydl ddfote`a zix`pil`ld zkxrnd lr drityn

u

l iaihi `dyrxd zrtydik gpd

xnelk.3 dl`yaz`vnyzix`pildzkxrnd

x(t + ∆) = Fx(t) + G(u(t) + η)

= Fx(t) + Gu(t) + w

w ∼ N (0, W)

?

W

`ed dn

(5)

yjk

ǫI variance

mrilnxepzitvzyrx mbepyizn ewddl`yayjildzd yrxlsqepa .7

y(t) = x(t) + v

v ∼ N (0, ǫI)

zyrexdzihxwqi dzix`pildzkxrndly(hehxya

K

)

steady state Kalman Gain

dz``vn

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z`lawli k.(dflibxzlsxevnoexztd)m ewzialibxzamzazkxy`

get kf P and K

divw

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500

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K(500)

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steady state

dzvixhn

σ = 0.1

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.(dlrnivg)

ǫ = 360 π

,efdl`ya oezpyitkzitvzdyrx

.(yrx`ll)

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izlgzdavn

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i,j A 2 i,j

)

i = {1, . . . 500}

xear

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Forbenius Norm

d `id

?

K(500)

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P(500)

zernyndn (b)

oelykl re`zeipy20jynl4dl`yndxwaze`mrzyrexdzkxrnd lyzeivleniq100uxd .8

:zih xphqddgqepaaivpavndlyxzeiwiie njexrylawlzpnlr.(

ndle bzeiefdzg`)

¯

x t = ¯ x t|t−1 + K 500 (y t − C¯ x t|t−1 )

:z`

¯

x t|t−1 = ¯ x t−1|t−1 + Z t

t−1

f (x τ , u t−1 )dτ

zpnlrzix`pil`ldzkxrnd lydivleniqaynzyp,xnelk.

x ¯ t|t−1 = Fx t−1 + Gu t−1

mewna

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x

z` m wl

`ll

arm noisy discrete control step

divwpetaynzydl ozipyex d ixnepdaeyigd z`rval

.dreaw dxwa ziivwpet mr

two link arm control

divweta e` (

0

qp`ix`ew zevixhn) miyrx

.`nbe ldvixx`zndsxbybd .elawzdydivleniqdipnflydnxbehqidbvd

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