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2 Communicaiton,NetworkandAritifcia lIntelilgence(CNAI2018) 8
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61Federa lResearchCenter“ComputerScienceandContro ”loftheRussianAcademyofSciences,
3 3 3 9 1 1 , a i s s u R , w o c s o M , 2 . d l b , 4 4 . r t S a v o li v a
V
2TheGubkinRussianStateUniverstiyofOi landGas,LeninskyPr.65,Moscow,Russia,119991
3MainScienitifcResearchTestCenter(MSRTC)oftheRussianMinistryofDefence,
1 0 0 9 1 1 , a i s s u R , w o c s o M , 5 . r t S a n i g o i r e
S
4MoscowStateTechnica lUniverstiyof Radioengineering,ElectronicsandAutomaitcs,
a i s s u R , w o c s o M
5TheRussianPowerAgencyofMinistryforthePowerGeneraitngIndustry,SchepkinaStr.40,
Bld.1,Moscow,Russia,129110
6TheResearchInsttiuteofAppiledMathemaitcsandCeritifcaiton,Krasnobogatyrskaja2,
Bld.2,Moscow,Russia,107564 r o h t u a g n i d n o p s e r r o C *
: s d r o w y e
K Analysis,Complex,Modeilng,Probablitiy,Reilablitiy,System.
.t c a r t s b
A Thepresented work is devoted to the application ofprobabilisticmodeling roboticand s
m e t s y s d e z i t a m o t u
a operating incosmicspace ,andt heirseparatesubsystemsandelements .Auseof d
i o v a o t s w o l l a h c a o r p p a d e s o p o r
p engineeringerrorsa tearly stagesofprojec tconcep tand design .
s t c e f f e e l b a r i s e d h c a e r o t d n a
n o it c u d o r t n I
m o r
F engineering poin tofviewroboticand automatized systems operating incosmicspaceare .
s m e t s y s e v i s n e p x e d n a x e l p m o c y r e
v Todayexpensesfort heiroperationusecanbesomet ensUSD r
o
f 1 grammeof theweigh tdeduced in space .Systemsshould operatereliably becauseof cosmic r
o f , y t i l a u q e s i a r o T . y t i c i f i c e p s e c a p
s testing these systems supporting viability of cosmonauts , e
h t f i , d n A . d e t a e r c e b d l u o h s s l e d o m e u q i n u r e h t o d n a s n r e t t a
p valuesofsystemmetricsof their
e m i t t l u s e r a s A . n i a g a s k r o w l l a m r o f r e p o t s d e e n t i , e l b a t p e c c a t o n e r a ) y t i l i b a i l e r g n i d u l c n i ( y t i l a u q
s n o i t s e u q o t s r e w s n a r o f d e s u e r a s l e d o m l a c i t a m e h t a m t n e r e f f i d e r o f e r e h T . d e t s a w e r a y e n o m d n a
W
« hat acceptablel eve lofquality(reliability)shouldbese tandwhatl eveli sachievable?» . f
o s e g a t s y l r a e t a n o i t a c i l p p a r o
F projectconcep tanddesignt heapproachf ort hesystemanalysisof
c i t o b o
r systemsand automatized systemofcosmonau tviability suppor t(ASCVS)isproposed .The 1
[ s l e d o m c i t s i l i b a b o r p g n i t s i x e y d a e r l a f o e s u e h t n o d e s a b s i h c a o r p p
a - 11 ] ,createdbyauthorsoft his
: s r e v o c h c a o r p p a e h T . s n o i t a c i l p p a f o s d l e i f s u o i r a v n i d e v o r p p a d n a r e i l r a e k r o w
f o e c i o h c e h
t probabilisticmodelsconsideringspecificityofoperatingi ncosmicspace; c
f o s i s y l a n a y t i l i b a i l e r e h
t ontro lsystem of the robot-manipulator which due to be used by ;
t u a n o m s o c
f o s i s y l a n a y t i l i b a i l e r e h
t ASCVSelementsoperation;
m o r f d e s o p m o c , m e t s y s x e l p m o c f o s i s y l a n a y t i l i b a i l e r e h
t robotic and automatized systems ,
e c a p s c i m s o c n i g n i t a r e p
f o e c i o h C e h
T ProbablisiitcModel sCon isderingSpeciifctiy
f o y t i c i f i c e p s d e r e d i s n o c e h
T cosmonau tworksi nspaceou tofcosmicstationi st henext.Takingi nto r a c f o y r e v i l e d r o f s e s n e p x e t n u o c c
a goes probabilistic analysis is carried ou tby the metrics : x i s ( s r u o h 8 4 d n a ) k r o w t u a n o m s o c f o n o i s s e s e n o ( s r u o h 8 g n i r u d n o i t a r e p o e l b a i l e r f o s e i t i l i b a b o r p . ) F B T M ( s e r u l i a f e r o f e b e m i t n a e m d n a ) s n o i s s e s f o s n o i t a m i t s e c i t s i l i b a b o r p r o
F roboticandautomatizedsystems inapplicationt ogivenprognositc : t e s s i t n e m e l e y r e v e r o f s t n e v e y r a t n e m e l e o w t f o e c a p s d e t i m i l t x e n e h t s r u o h 8 4 d n a 8 s d o i r e p e r a s n o i t c a e m o s d n a s i e r u l i a f e h t e c n o t s a e l t a n e h w ( ” n o i t i d n o c e l b a i l e r n u “ d n a ” n o i t i d n o c e l b a i l e r “
neededforrecovering“reliablecondition”) . t s n i a g a n o i t c e t o r P “ s l e d o m c i t s i l i b a b o r p e h
T dangerousi nfluences” ,“Reliability”and“Prediction ” y t i l a u q x e l p m o c e h t f
o fromsoftwaret oolscomplex“Modellingofprocesses” ,developedofauthors k r o w s i h t f
o ,andi deasf ornewmodelsgenerations[ 1- 11 ]arechosen.I tallowst oestimatet hemetrics 2 y g o l o n h c e t l a r e n e g e r o m d n a ) y t i r g e t n i m e t s y s f o c i t s o n g a i d e v i t c a o r p ( 1 y g o l o n h c e t r o f t n e m e l e m e t s y s a f o y r e v o c e r e h t c i t s o n g a i d t x e n e h t r e t f A . ) g n i r o t i n o m
( isstarted ,ifneeded .The
i : t x e n e h t s i 2 y g o l o n h c e t f o r e f f i
d f results of monitoring have revealed symptoms of failure e h t , ) s e i l a m o n a
( recovery of the integrity is started beforethe beginning thenex tdiagnostic .For m e t s y s x e l p m o c e h t f o n o i t a m i t s
e swith paralle lor seria lstructure existing modelsaredeveloped 1
[ - 11 .]
1 [ s n o i t a m i t s e c i t s i l i b a b o r p r o f d e s u e r a s c i r t e m t x e n e h
T - 11 ] :
r o s m e t s y s b u s l l a d o i r e p c i t s o n g o r p n e v i g g n i r u d e m i t l l a f i ( n o i t a r e p o e l b a i l e r f o y t i l i b a b o r p c i g o l h t i w s t n e m e l
e connection"AND"arein elementaryeven t“reliablecondition”ora tleas tone y r a t n e m e l e n i s i " R O " n o i t c e n n o c c i g o l g n i s u n o i t a v r e s e r h t i w n o i t c u r t s n o c l e l l a r a p m o r f t n e m e l e ; ) ” n o i t i d n o c e l b a i l e r “ t n e v e t g n i r u d e c n o t s a e l t a f i ( e r u l i a f f o y t i l i b a b o r
p hisgivenperiodt hefailurewil lbe)- asadditiont o1 e
h
t probabilityofreliableoperation;
. m e t s y s e l o h w d n a t n e m e l e y r e v e r o f F B T M 1 [ e r a a t a d t u p n i e h
T - 11 ]:t hegiven prognosticperiod(8or48hours);t hefrequencyofanomalies ; i t a v i t c a n a e m e h
t ontime(fromanomalytofailure) ;thetimebetween theend ofdiagnosticandthe c i t s o n g a i d e h t ; c i t s o n g a i d t x e n e h t f o g n i n n i g e
b andrecoverytime ;onlyfort echnology2– themean f o g n i r o t i n o m s u o u n i t n o c g n i r u d r o r r e s ’ r o t a r e p o n e e w t e b e m i
t robotic a nd automatized systems
. s n o i t i d n o c
Reilablitiy Analy is so fContro lSystem o fthe Robot-manipulator Which Due to b e Used by Cosmonaut
t n g i s e d t c e j o r p e m o s a r o
F hecontro lsystemoft herobot-manipulator (composedfromanoperato 'rs t , t i n u r e w o p a , e l o s n o
c hecentra lcontrollerwith the handleofcontro land manipulatormeans)is . d e z y l a n a e h t f o m e t s y s l o r t n o c f o e t a t s e h
T robot-manipulator is defined as elementary state “Reliable ” n o i t i d n o
c if the states of subsystem 1 (an operato 'rs console) ,a subsystem 2 (a power unit) ,a h t i w r e l l o r t n o c l a r t n e c ( 3 m e t s y s b u
s a handle of control) are characterized as elementary state f o t n e m e l e e n o t s a e l t a f o e t a t s e h t d n a ” n o i t i d n o c e l b a i l e R
“ subsystem 4 (manipulatormeans)is
e t a t s y r a t n e m e l e s a d e z i r e t c a r a h
c “Reliablecondition” .Componentsofsubsystem4are :ahingeof a ; y e k f o g n i v o
r hingeofshoulder ;a hingeofr ovingofelbow;t hehingeofelbow ;ahingeofr ovingof ;
h s u r
b a hingeofbrushes ;a hingeofbrushrotation ;a deviceforgrasping; videocamera. e
h
T frequencyofanomaliesi si naverage1t imesayear ,themeanactivationt ime( fromanomalyt o . s y a d 3 t u o b a s i ) e r u l i a
f The time between the end of diagnostic and the beginning of the nex t e m i t y r e v o c e r , s h t n o m 2 t u o b a s i c i t s o n g a i
d - abou t2days .
u s e
R ltsofmodelinghaveshownt hefollowing(seeFigure1):
u q e s i s r u o h 8 g n i r u d 4 , … , 1 x e l p m o c f o n o i t a r e p o e l b a i l e r f o y t i l i b a b o r
p alt o0.979;
5 6 9 . 0 o t l a u q e s i s r u o h 8 4 g n i r u d 4 , … , 1 x e l p m o c f o n o i t a r e p o e l b a i l e r f o y t i l i b a b o r
p .
t o b o r e h t f o m e t s y s l o r t n o c a g n i l e d o m f o s t l u s e R . 1 e r u g i
F -manipulator.
A y ti li b a il e
R naly is so fASCVSElements Opera iton
f o e r u t c u r t s c i g o l e h
T ASCVS for modeling is presented on Figure 2. For modeling the mean o
t y l a m o n a m o r f ( e m i t n o i t a v i t c
a failure)i sabou t3days .Systeml ifeofexploitationi sfrom8hour .
) s n o i s s e s 6 ( s r u o h 8 4 o t ) n o i s s e s e n o
( Thet imebetweent heendofdiagnosticandt hebeginningof ,
h t n o m 1 t u o b a s i c i t s o n g a i d t x e n e h
t the time of system recovering is estimated abou t1 hour h
t i w e l b a r u s n e m m o c
( ASCVSassemblagefromreadycomponents).Onl ogicstructuresubsystem1 ,
) s e d o m t o h d n a d l o c r o f ( n o i t a v r e s e r h t i w s r o t a l i t n e v o w t s e d u l c n
i subsystem2performsf unctionsof
O C f o k c o l b
a 2absorption ,subsystem3performsf unctionsofahea texchanger ,subsystem4( forcold
w o l e b e n i l : n o i t a v r e s e r g n i r e d i s n o c s e n i l l e l l a r a p o w t s e d u l c n i ) s e d o m t o h d n
a - oxygencylinderand
e g y x o f o s t i n u o w
t nequipment ;l ineabove- oxygencylinderwithemergencystockandt wounitsf or .
y c n e g r e m e
e e s ( g n i w o l l o f e h t n w o h s e v a h g n i l e d o m f o s t l u s e r 4 , … , 1 x e l p m o c r o
F Figure3) :
- withho treservationMTBF=22.5h ,withcoldreservationMTBF=26.1h;
- probabilityofreliableoperationduring8hoursi sequalt o0.71forho treservationandt o0.74for n
o i t a v r e s e r d l o
c ;
- probabilityofreliableoperationduring48hoursi sequalt o0.31forho treservationandt o0.34for .
e v e l w o l m r i f n o c s t l u s e
R lofreliabilityandveryhighrisksforviabilityduring6sessions(48hours) f
o cosmonauts .Fori ncreasingreliabilityt hemeanswithmorehighMTBFshouldbeused.
e r u g i
F 2 .Typica lstructureofASCVSandformalization.
o m S V C S A f o s t l u s e R . 3 e r u g i
F deling.
m o r f d e s o p m o C , m e t s y S x e l p m o C f o s is y l a n A y ti li b a il e
R Robo itcand Automa itzed Systems , e
c a p S c i m s o C n i g n it a r e p O
s t l u s e
R ofmodelingcomplexsystem ,composedfromroboticandautomatizedsystems,operatingi n e
c a p s c i m s o
c haveshownt hefollowing(seeFigure4):
d e z i t a m o t u a d n a c i t o b o r m o r f d e s o p m o c , m e t s y s x e l p m o c f o n o i t a r e p o e l b a i l e r f o y t i l i b a b o r p
s m e t s y
s isabou t0.23duringonesession(8hours)andabou t0.10duringsixsessions(48hours). e
r a s e r u l i a f e h
T inevitable .
m o r f d e s o p m o c , m e t s y s x e l p m o c g n i l e d o m f o s t l u s e R . 4 e r u g i
F roboticandautomatizedsystems, e
c a p s c i m s o c n i g n i t a r e p
o .
d e s o p m o c , m e t s y s x e l p m o c f o y t i l i b a i l e r g n i s a e r c n i r o f s n o i s i c e d t c e j o r p w e n f o h c r a e s e r : e m u s e R
m o r
f roboticandautomatizedsystems,operatingi ncosmicspacewitht heproofoft heirefficiencyon !
d e r i u q e r s i g n i l l e d o m f o s i s a b e h t
n o is u l c n o C f o d a e t s n I
h c r a e s e r o t s w o l l a g n i l e d o m c i t s i l i b a b o r p d e s o p o r p e h
T roboticandautomatizedsystems operaitng in
t d n a , e c a p s c i m s o
c heirseparatesubsystemsand elements .Itallowstoavoidengineering errorsa t n
g i s e d d n a t p e c n o c t c e j o r p f o s e g a t s y l r a
e andhelpst oreachdesirableeffects.
s e c n e r e f e R
] 1
[ A.I .Kostogryzov ,G.A .Nistratov ,Standardization ,mathematica lmodeling,r ationa lmanagement 5 3 , s l e d o m l a c i t a m e h t a m 0 0 1 ( g n i r e e n i g n e e r a w t f o s d n a m e t s y s f o d l e i f e h t n i n o i t a c i f i t r e c d n a
.t n e m a m r A “ , ) s l o o t e r a w t f o
s Policy.Conversion” ,Moscow ,2005 . .
I . A ] 2
[ Kostogryzov ,andP.V .Stepanov,I nnovativemanagemen tofqualityandr isksi n systemsl ife “
, e l c y
c Armament .Policy .Conversion” ,Moscow ,2008 . v
o l y r K . V , v o z y r g o t s o K . A ] 3
[ ,A .Nistratov ,G .Nistratov ,V .Popov ,P .Stepanov ,Mathematica l r
o f s k s i r d n a y t i l a u q e z i m i t p o d n a e z y l a n a , t s a c e r o f o t s e i g o l o n h c e t e l b a c i l p p a d n a s l e d o
m complex
e n u J , ) S I T C I ( y t e f a S d n a n o i t a m r o f n I n o i t a t r o p s n a r T n o . f n o C . n r e t n I t s 1 e h t f o s g n i d e e c o r P , s m e t s y s
0
] 4
[ A .Kostogryzov ,G .Nistratov and A .Nistratov ,“Some Applicable Methods to Analyze and m
e t s y S e z i m i t p
O Processes in Quality Management” ,Tota lQuality Managemen tand Six Sigma , 7
2 1 . p p , 2 1 0 2 , h c e T n
I -196 ,Availablefrom: l a t o t / s k o o b / m o c . n e p o h c e t n i. w w w / / : p t t
h -quality-management- da - xn s -i sigma/some-applicable-metho s
d - ot -analyze- da -n optimize-system-processes- ni -quality-management.
[5 ]A .Kostogryzov ,G .NistratovandA .Nistratov,TheInnovativeProbabilityModelsandSoftware f
o s e i g o l o n h c e
T RisksPrediction forSystemsOperatinginVariousFields .Internationa lJourna lof (
y g o l o n h c e T e v i t a v o n n I d n a g n i r e e n i g n
E IJEIT) ,Volume3 ,Issue3 ,September2013 ,pp .146-155 . p
h p . e v i h c r a / m o c .t i e j i. w w w / / : p t t h
. I . A ] 6
[ Kostogryzov, P.V. Stepanov ,G.A. Nistratov , A.A. Nistratov , L.I. Grigoriev and O.I. v
e h c h s i k a t
A ,Innovative Managemen tBased on Risks Prediction ,Information Engineering and e
c n e i c S n o i t a c u d
E – Zheng(Ed.) .©2015Taylor&FrancisGroup ,London ,pp .159- 61 . 6 .
A , v o m i k A . A ] 7
[ Kostogryzov,N .Mahutova tal .SecurityofRussia .Legal ,Social&Economicand c
i f i t n e i c S e h T . s t c e p s A g n i r e e n i g n E & c i f i t n e i c
S Foundations of Technogenic Safety .Under the .
A . N v o t u h a M . N f o p i h s r o t i d
e – Moscow ,“Znanie” ,2015.
[8]A .Kostogryzov ,P .Stepanov ,A .Nistratov ,G .Nistratov ,O .Atakishchevand V .Kiselev ,Risks s
m e t s y S x e l p m o C r o f n o i t a z i m i t p O s e s s e c o r P d n a n o i t c i d e r
P ont heBaseofProbabilisticModeling ,
e h t f o s g n i d e e c o r
P 2016 Internationa l Conference on Applied Mathematics , Simulation and 8
2 y a M , ) 6 1 0 2 M S M A ( g n i l l e d o
M -29 ,2016 ,Beijing ,China ,pp .186- 21 . 9
[9] A .Kostogryzov ,P .Stepanov , L .Grigoriev ,O .Atakishchev ,A .Nistratov and G .Nistratov , c i t a m o t u A e h t y b s m e t s y S x e l p m o C r o f t p e c n o C l o r t n o C s k s i R g n i t s i x E f o t n e m e v o r p m I
s k s i R f o e s u o h e r o t S e h t g n i m r o F d n a s l e d o M c i t s i l i b a b o r P f o n o i t a r e n e G d n a n o i t a n i b m o C
e h t f o s g n i d e e c o r P , e g d e l w o n K s n o i t c i d e r
P 2nd Internationa lConferenceon AppliedMathematics , 6
t s u g u A , ) 7 1 0 2 M S M A ( g n i l l e d o M d n a n o i t a l u m i
S -7 ,Phuket ,Thailand .DEStechPublications,I nc. , 9
7 2 . p
p - 82 .3
, v o z y r g o t s o K . A ] 0 1
[ Abou t probabilistic risk prediction for system engineering . Models , o
g n i d e e c o r P , s t c e f f e , s n o i t a c i l p p
a ft he5-thInternationa lconferenceActua lproblemsofsystemand 7
1 # t c e j o r P . h c r a e s e R c i s a B r o f n o i t a d n u o F n a i s s u R y b d e t r o p p u S , g n i r e e n i g n e e r a w t f o
s - 70 -20565 ,
4 1 , a i s s u R , w o c s o
M -16November ,2017 .EditedbyProf .AnaRosaCavalli ,Dr .Sc.i ,Prof .Alexander .
r D , o k n e r t e
P Sc.i ,Prof .BorisPozin ,CEURWorkshopProceedings ,pp .36-44 ,http://ceur-ws.org. .
A , v o m i s o r b A ] 1 1
[ Kostogryzov,N .Mahutova tal .SecurityofRussia .Legal ,Social&Economicand c
i f i t n e i c
S & EngineeringAspects .Technogenic ,TechnologicandTechnosphericSafety .Underthe .
A . N v o t u h a M . N f o p i h s r o t i d