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Vibration Analysis and Optimal Design of Pneumatic Circuits Using Artificial Neural Networks

Şahin, YILDIRIM; Aslı, DURMUŞOĞLU

Abstract

Pneumatic systems are commonly used in industry processes and applications of automotion. These systems are make attractive power transmission with the compressed air, because of they are economic, clear, safe and simple structured.So in this systems, as noise and vibration effects, it’ s undesirable situations both human health and system performances yield and working life. In this study, vibration and noise datas are obtained from two type of pneumatic systems prototype which are classify metal and non-metal materials and performed an analysis with help of this datas and used neural network which has adaptive and quick contruction.

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Recen Inno a ions in Mecha onics (RIiM) Vol. 3. (2016). No. 1-2. DOI: 10.17667/ iim.2016.1-2/14. Vib a ion Analysis and Op imal Design o Pneuma ic Ci cui s Using A i icial Neu al Ne wo ks Şahin YILDIRIM Mecha onic Enginee ing Depa men E ciyes Uni e si y, Facul y o Enginee ing Kayse i, Tu key [email p o ec ed] Aslı DURMUŞOĞLU Mechanical Enginee ing Depa men E ciyes Uni e si y, Facul y o Enginee ing Kayse i, Tu key [email p o ec ed]u. Abs ac —Pneuma ic sys ems a e commonly used in indus y p ocesses and applica ions o au omo ion. These sys ems a e make a ac i e powe ansmission wi h he comp essed ai , because o hey a e economic, clea , sa e and simple s uc u ed.So in his sys ems, as noise and ib a ion e ec s, i ’ s undesi able si ua ions bo h human heal h and sys em pe o mances yield and wo king li e. In his s udy, ib a ion and noise da as a e ob ained om wo ype o pneuma ic sys ems p o o ype which a e classi y me al and non-me al ma e ials and pe o med an analysis wi h help o his da as and used neu al ne wo k which has adap i e and quick con uc ion. Keywo ds—pneuma ic ci cui s; ib a ion analysis; neu al ne wo ks I. INTRODUCTION Capable o con olling he p essu e o he si ua ion ha can be changed, wi h sys ems ha a e unning ai and gases, pneuma ic sys ems a e called. Pneuma ic sys ems; clean, secu e and wi h comp essed ai powe ansmission due o i s simple s uc u e makes i a ac i e. Thanks o his sys em, au oma ion p oduc ion is smoo h, as and con ollable sys ems has gained impo ance in ad ancing he echnology o use as. And conside ing he a ea hey a e used in au oma ion echnology, his impo ance is e en mo e e iden . Pneuma ic cylinde s, ep oducibili y, low cos and has a wide use in indus ial applica ions in e ms o supe io pe o mance. In many cases, o achie e good con ol pe o mance, nonlinea con ol echniques ha e been used. Simaui and colleagues [1] one o hese echniques by using he cascade me hod he back elec o-pneuma ic posi ion con ol sys em ha e wo ked on. Pneuma ic sys ems, indus ial p ocesses, and a e used ex ensi ely in au oma ion applica ions. Howe e , his sys em mus be made o he analysis o ins an aneous dynamic changes. Akkaya and his colleques [2] ha e been ca ied ou he simula ion o he dynamic p ope ies o a linea pneuma ic ac ua o sys em, and hus s udied he e ec o pa ame e a ia ions o he sys em despi e. Simula ion s udy in he Ma lab-Simulink model was ca ied ou using a compu e p og am c ea ed in. Pneuma ic ib a ion isola ion sys em (PVIS), e ec i e o ib a ion isola ion due o he pe o mance, a e widely used. Moon and Lee [3] we e in ended o do p is sys ems modelling and sensi i i y analysis. Pu and colleagues [4] in hei s udy o he police sys em o adjus he damping cha ac e is ics o double-chambe pneuma ic sp ing is used. The pu pose o his adjus able p is o imp o e he pe o mance cha ac e is ics o he sys em. In his s udy, wo di e en sepa a o pneuma ic es and sepa a ion s a ion o ANNS (a i icial neu al ne wo ks) using ib a ion analysis and modeling a e e iewed. Minimum and maximum alues o ma e ials o di e en weigh and p essu es aken a he p essu e di e ence cylinde pneuma ic ib a ion he e ec s o ib a ion on he sys em we e in es iga ed. II. SEPARATOR PNEUMATIC TEST AND SEPARATION STATIONS A. The Physical S uc u e O The Sys em Sepa a o and sepa a ion PLC con olled pneuma ic es s a ions, colo , heigh , and ese oi samples a e au oma ically seg ega ed in o di e en me al wi h di e en cha ac e is ics as o whe he o no . The sepa a ion s a ion also is con olled wi h wo pneuma ic cylinde s and a PLC con olle wi h DC mo o s and he mo emen and he sepa a ion p ocess a e p o ided. The samples o he de e mina ion o he p ope ies o a ious senso s dis ance senso s induc i e senso s a e used. The i s es s a ion and componen s o he sys em and sepa a ion Figu e 1 seen. Sampling a his s a ion, which is mo ed by a DC mo o o ha piece o p og ess is p o ided by he ma ching band. As can be seen om he igu e, he i s pa o he ape consis s o a ious senso s o making measu emen s and es . The senso s henacco ding o he esul s o he es p ocess, o pe o m he sepa a ion p ocess, pneuma ic cylinde s, and ma e ial o he channels is loca ed. This es samples a he s a ion and sepa a ion o whi e and black me al depending on whe he hey a e pneuma ic sepa a o s is pa sed h ough o di e en si es. Recen Inno a ions in Mecha onics (RIiM) Vol. 3. (2016). No. 1-2. DOI: 10.17667/ iim.2016.1-2/14. Fig 1.Tes and sepa a ion S a ion and he sys em componen s(Mechanism 1) Some ins umen s o he Figu e 1, can be desc ibes in he ollowing; 1.Elec o-pneuma ic solenoid al e g oup 2. and 3. Op ic senso s 4. The dis ance (heigh ness) senso 5. Induk i senso 6. Con as senso 7. Single ac ing pneuma ic cylinde s 8. Bel 9. Re lec o s 10. Ma e ial 11. P og amming cables 12. PLC 13. Ope a o panel The second es seen in Figu e 2, and he sepa a ion S a ion and he sys em componen s. A his s a ion he p og ess o a DC Mo o he mo ion o pneuma ic cylinde s and sample piece p o ided by he sys em. Samples placed in he s a ing posi ion o he i s senso and he measu emen s o be made a e being mo ed o wo posi ions. The las poin o he measu emen esul om he ma e ial o he channel abo e o below, again a e pushed by a pneuma ic cylinde . Fig 2. Tes and sepa a ion S a ion sys em componen s(Mechanism 2) Sepa a o and sepa a ion PLC con olled pneuma ic es s a ions, colo , heigh , and as o whe he o no o me al Figu e 2 common sys em componen s; 1. PLC (S7-300) 2. Pneuma ic Cylinde s 3. DC Mo o 4. Elec o-Pneuma ic Val e G oup 5. Pneuma ic Vacuum G ippe 6. Senso s The schema ic o he sys em s uc u e, he s uc u e is qui e simila o he p e ious schema ic o he s a ion. (Fig 1.) The di e ence he e, he sys em consis s o wo wo ks a ions. The mo emen o he sample o he anspo o he i s s a ion, he second S a ion and he measu emen s a e used o he pa sing p ocess. These wo s a ions, and is con olled by wo di e en PLC s a ions wo ks in e ac i ely wi h each o he . Tes specimens om his es and sepa a ion s a ion he Black, Whi e and whe he hey a e p ope ies such as me al a e s udied. Also he e is a hole on one side o he samples. In his way he specimen is placed ha will be pe o med o check whe he o no la o in e ed. B. Ma hema ical S uc u e O The Sys em In es iga ed pneuma ic sys ems, single ac ing cylinde , double ac ing cylinde and elec o-pneuma ic di ec ional con ol al es a e discussed as including h ee sepa a e elemen s. The s anda d o i ice using he heo y o dynamic p ope ies o elemen s and each elemen is gi en ma hema ical model o a pneuma ic. When you c ea ed he model, he ollowing assump ions we e made  Ai is an ideal gas.  Feeding p essu e (Ps) is cons an  Exhaus p essu e (PR) is equal o a mosphe ic p essu e (Pa).  The p ocess is isen opic.  Feed cylinde is cons an and equal o he empe a u e he empe a u es in he compa men s in he ank.  The dynamics o he pis on al e and he hose has been neglec ed. 1. Cylinde Model Push and pull o ces single ac ing pneuma ic cylinde s can be calcula ed as ollows. In he di ec ion o he h us o ce han he o ce in he di ec ion o pull. The eason o his is due o ensile comp essed ai in he di ec ion o he applied ield will be smalle han he sha s. Recen Inno a ions in Mecha onics (RIiM) Vol. 3. (2016). No. 1-2. DOI: 10.17667/ iim.2016.1-2/14. Fig 3. Single ac ing pneuma ic cylinde [8] Theo e ical o ce calcula ion; (1) (2) Figu e 4, 4/2 di ec ional con ol al e double ac ing cylinde con olled by a also has been gi en. He e 󰇗 󰇘, espec i ely, posi ion, speed, accele a ion [m, m/s ,m/s2 ]; o cylinde 1. and 2. he p essu e in he compa men s [Pa]; supply and exhaus p essu e [Pa]; cylinde 1. and 2. he a ea on he side o he pis on [m2]; 󰇗 cylinde 1. and 2. on he side o he mass ai low [kg/s]; con ol sys em and al e pis on weigh M [kg] ep esen s. Fig 4. Double ac ing pneuma ic cylinde [8] The eed p essu e o he al e posi ion o which de e mines how he cylinde is opened o a mosphe ic p essu e o o. The load o wa d (+) o mo e he cylinde 1. compa men opens in o he eed ank. Simul aneously, he cylinde 2. he compa men is opened o he a mosphe e. This condi ion gi es ise o he p essu e di e ence be ween he compa men s o he cylinde . The di e ence in p essu e inc eases enough o de ea ic ion and ex e nal o ces when he pis on and hus he load s a s o mo e. The equa ion o mo ion o he cylinde is as ollows [5]; (3) 󰇘 (4) 󰇘 (5) ( 󰇗 󰇘 ) (6) Equa ion (4), he ne o ce on he sys em due o he di e ence in p essu e, i he o ce o ic ion is . Vol s mass ai low comp essed om he cylinde elemen o he inpu a iables, he posi ion and eloci y o he pis on. A cylinde 1. ou pu a iables and 2. he p essu e in he compa men s. The ela ionships be ween p essu e and low a e gi en below [6]; 󰇗 [ 󰇗 󰇗] (7) 󰇗 [ 󰇗 󰇗] (8) 2. Val e Model Val e elemen om he p e ious elemen o p essu ized ai and an elec ical signal inpu o he a iable ha is se by he loca ion o he al e. As ou pu a iables depending on he posi ion o he al e cylinde 1. pane o 2. en e ed in o he pane, o he comp essed mass ai low. The po a ea al e , and al e discha ge coe icien cons an s, such as inpu sys em can be conside ed as cons an . The ela ionships be ween al e inpu and ou pu a iables a e gi en in he ollowing equa ions [5]. The pis on cylinde o wa d (+) mo emen in he case; 󰇗 √ ( ) (9) 󰇗 √ ( ) (10) whe e; { ( ) √ ( ) (11) The pis on cylinde backwa d (-) in he case o p og ess; 󰇗 √ ( ) (12) 󰇗 √ ( ) (13) whe e; { ( ) √ ( )( ) (14) √ ( ) √ ( ) ; ( ) (15) whe e is he speci ic hea a io, he gas cons an c i ical p essu e and he mass low pa ame e . III. EXPERIMENTAL WORK Two di e en alues a e measu ed a di e en p essu es o di e en es and sepa a ion s a ion he ib a ional modeling a i icial neu al ne wo ks a e e iewed. S a ions o es ing and so ing he ma e ial in 3 di e en weigh s wi h he ib a ion alues a e measu ed a minimum and maximum p essu es in pneuma ic cylinde and has pe o med analysis and modeling. While modeling algo i hms ha belong o 5 di e en a i icial neu al ne wo ks algo i hms ha gi e he bes and wo s esul s a e p esen ed in g aphs and ied. Tes and sepa a ion s a ion he i s pneuma ic sepa a o o black, whi e and me al (25 g, 15 g, 10 g) single ac ing Recen Inno a ions in Mecha onics (RIiM) Vol. 3. (2016). No. 1-2. DOI: 10.17667/ iim.2016.1-2/14. cylinde used o sepa a ing h ee ma e ials, (1., 2. and 3. measu emen poin s) 2 ba wo king p essu e and 6 ba ib a ion alues we e aken. Fig 4. Sepa a o pneuma ic es and sepa a ion s a ion and an expe imen al se up o measu ing he accele a ion (1). Second sepa a o pneuma ic es and sepa a ion s a ion 3 di e en weigh s (50 g, 100 g, 240 g) ma e ial o a wo king p essu e o 2 ba and 6 ba , wo double ac ing cylinde s (1. and 2. measu ing poin ) and DC mo o (3. measu ing poin h ough he ib a ion alues we e aken. Fig 5. Sepa a o pneuma ic es s a ion and an expe imen al se up o measu ing he accele a ion and sepa a ion (2). IV. ARTIFICIAL NEURAL NETWORKS (ANN ) Sepa a o pneuma ic es s a ions, expe imen al se ups and sepa a ion o he B uel - Kjae po able and mul i-channel pulse da a has been ecei ed and wi h he help o accele ome e senso s using a i icial neu al ne wo ks by using modeling and analysis conduc ed. In Figu e 6 The Block diag am o his si ua ion a e gi en. Fig 6. Block diag am o expe imen al sys em The mos ypical o m o he NN s uc u e, he cell gene a ed wi h he model o he laye s o be assembled can be ins alled wi h he sequen ial o ma . A neu al ne wo k model used is shown in Figu e 7. Fig 7. ANN’ s schema ic ep esen a ion He e he applied laye o he inpu laye o he inpu signal, he ou pu signal o he eceip o he esponse laye is called he ou pu laye . In he p esen s udy, a linea cell in he inpu laye , hidden and ou pu laye s, espec i ely, en and h ee nonlinea cell was used. Gi en he ne wo k ob ained o he aining, 70%, o he es phase, 30% we e used. ANN’ s da a o be used o he pu pose o es ing o he s able s uc u e o he ne wo k du ing he aining phase we e no used. A. Back P opaga ion Algo i hm The mos common applica ions used in he lea ning algo i hm. Mos p e e ed because i can be easily e i ied ma hema ically easy o unde s and and he lea ning algo i hm. Re e se his algo i hm o educe e o s back p opaga ion go i s name because o wo king om he ou pu o inpu [7]. Back p opaga ion algo i hm, he slope is dec easing and MLP’ s he mos basic lea ning algo i hm used in aining. In his algo i hm he weigh s be ween he elemen s and wi h p ocessing imes ( ), he change in is calcula ed. This exp ession, ( ) ( ) (16) as i is p o ided. The equali y (16) he lea ning coe icien , momen um coe icien and o belonging o any neu on in he ou pu laye Dec o is a ac o . Fo he ou pu laye , his ac o is p o ided in he ollowing manne ; ( ) (17) whe e, ∑ (18) and he a ge ou pu o he elemen p ocesso . Dec ac o o he neu ons in he laye s; ( )∑ (19) B. QuickP opaga ion Algo i hm (QP) Quick p opaga ion algo i hm, de eloped by Fahlman and new on me hod based on a heu is ic lea ning algo i hm used o MLP aining. P opaga ion es s a e usually as when compa ed wi h o he echniques he pe o mance o he algo i hm is p e y good. This algo i hm gi es be e esul s in less da a p oblems wi h he noise le el especially [7]. Recen Inno a ions in Mecha onics (RIiM) Vol. 3. (2016). No. 1-2. DOI: 10.17667/ iim.2016.1-2/14. This algo i hm is neglec ed and he weigh in accele a ion and clipped he om up o in weigh change, ( ) ( ) ( ) (20) wi h he o mula is ob ained. He e ε is he lea ning coe icien , and momen um coe icien α is. He e o upda e he weigh unc ion, he del a unc ion and pa icipa es in he p ocessing o he accele a ion due o g a i y, he coe icien o weigh . ( ) ( ) ( ) ( ) (21) He e is he coe icien accele a ion. Finally, i he weigh is oo small, 0 is clipped by aking. | ( )| i ( ) is aken. He e, he weigh ac o c op [6]. C. Del a- Ba - Del a Algo i hm Del a-Ba -Del a mul i-laye ed pe sep on con e gence o he connec ion weigh s in a heu is ic app oach ha is used o inc ease he speed. In expe imen al s udies, he weigh o each dimension in e ms o space ha e shown ha all he e o su ace can be comple ely di e en . To explain he changes in he e o su ace, especially he coe icien o each link o he ne wo k should ha e own lea ning. The app op ia e s ep size o he size weigh only he weigh o his hough may no be sui able o all sizes [7]. The s anda d back p opaga ion algo i hm, he slope componen is p o ided in he ollowing way, ( ) ( ) ( ) (22) He e ( )a he ime o he e o alue , ( )and he weigh o he connec ion ( )illus a es he slope o he change in weigh componen . The s anda d back p opaga ion algo i hm o he Connec ion Weigh ; ( ) ( ) ( ) (23) will be upda ed as. He e is a lea ning cons an coe icien . DBD lea ning ule, he lea ning a e o each connec ion, he a iable ( )is assigned o, and upda e o he Connec ion Weigh ; ( ) ( ) ( ) ( ) (24) V. SIMULATION RESULTS The scope o wo k es ing and so ing s a ions in i e expe imen al se ups o ib a ion analysis neu al ne wo k algo i hm was used. Expe imen ally ob ained ib a ion da a is aken as he desi ed alue. A S a ion 107 he i s es o ib a ion and sepa a ion o he ne wo k he aining da a, he ib a ion da a we e used in he es ing phase 50. 175 he second es and sepa a ion s a ion o he ne wo k du ing aining, ib a ion da a, ib a ion da a we e used o he es phase 90. ANN’ s e alua ion o he accu acy o modeling wi h he da a o be used du ing aining o he da a o be used in he es phase is di e en . Vib a ion analysis o he s udy o back p opaga ion algo i hm, ba ch algo i hm, backp op, del a-ba -del a algo i hm, quickp opaga ion ( as p opaga ion) algo i hm and p op ( lexible p opaga ion) algo i hm was used. The i s es and sepa a ion s a ion he bes esul s o as p opaga ion algo i hm, while he wo s esul s del a-ba -del a algo i hm we e ob ained. The second es and sepa a ion s a ion o bes esul s he wo s esul s ha e been ob ained in he back p opaga ion algo i hm and is s ill he del a-ba -del a algo i hm we e ob ained. TABLE I. CHARACTERSTİCS OF DİFFERENT LEARNİNG ALGORİTHMS İN FEEDFORWARD ANNS A. Max. and min. p essu e in he simula ion esul s (Mechanism 1) Max. and min. he apid p essu e p opaga ion algo i hm and Del a - ba - Del a he esul s o he simula ion igu e 8,9, 10 and 11 a e gi en. Measu emen poin -1 Measu emen poin -2 Recen Inno a ions in Mecha onics (RIiM) Vol. 3. (2016). No. 1-2. DOI: 10.17667/ iim.2016.1-2/14. Measu emen poin -3 Fig 8. Di e en measu emen poin s max.expe imen al and neu al ne wo k esul s o p essu e( as -p opaga ion algo i hm) In he abo e cha max. apid p essu e p opaga ion algo i hm esul s a e gi en. Figu e. 8. as seen, he highes ib a ion 2. ANN and occu ed la gely a he poin o measu emen o he desi ed answe unco e ed. 1. and 3. he ib a ion alues a he measu emen poin s smalle neu al ne wo k has been able o ack he desi ed alues. Measu emen poin -1 Measu emen poin -2 Measu emen poin -3 Fig 9. Di e en measu emen poin s max.p essu e-expe imen al and neu al ne wo k esul s(Del a-ba -del a algo i hm) Del a-ba -del a neu al ne wo k algo i hm wi h h ee measu emen poin s in he desi ed esponse could no ca ch up. This algo i hm ANN’ s in he es phase he co ec pe cen age is 15%. Measu emen poin -1 Measu emen poin -2 Recen Inno a ions in Mecha onics (RIiM) Vol. 3. (2016). No. 1-2. DOI: 10.17667/ iim.2016.1-2/14. Measu emen poin -3 Fig 10. Di e en measu emen poin s o min.expe imen al and neu al ne wo k esul s o p essu e( as -p opaga ion algo i hm) Figu e 10, he maximum ib a ion alue, as shown in 2. we e aken om he measu emen poin . Fas -p opaga ion algo i hm neu al ne wo k ga e he desi ed answe . 1. despi e he lowe alue o he ib a ion measu emen a he poin o sudden NN could no ca ch up wi h he changes a he poin s whe e he desi ed alues. 3. he measu emen poin o he NN, he desi ed answe has ollowed. Measu emen poin -1 Measu emen poin -2 Measu emen poin -3 Fig 11. Di e en measu emen poin s o min.p essu e-expe imen al and neu al ne wo k esul s(Del a-ba -del a algo i hm) Del a-ba -del a algo i hm wi h neu al ne wo k has been able o ack he desi ed alues. 1. and 3. despi e he low equency alue a he poin o measu emen , neu al ne wo k did no ge he desi ed esponse. ANN wi h his algo i hm’ s accu acy pe cen age o 2% due o emained. B. Max. and min. p essu e in he simula ion esul s (Mechanism 2) Max. and min. p essu e p opaga ion algo i hm back p opaga ion and Del a - ba - Del a he esul s o he simula ion igu e 12,13, 14 and 15 a e gi en. Measu emen poin -1 Measu emen poin -2 Recen Inno a ions in Mecha onics (RIiM) Vol. 3. (2016). No. 1-2. DOI: 10.17667/ iim.2016.1-2/14. Measu emen poin -3 Fig 12. Di e en measu emen poin s max .expe imen al esul s o p essu e and a i icial neu al ne wo k(back p opaga ion algo i hm) In he abo e cha max. back p opaga ion algo i hm esul s in p essu e a e gi en. 1. wi h he inc ease in p essu e be ween measu emen poin s change in ib a ion da ahas been obse ed. ANN, his has la gely ollowed he desi ed da a a he poin o measu emen . 2. and 3. e y la ge di e ences we e obse ed in he measu emen poin s. ANN, his algo i hm is 80% and achie ed an accu acy a e o . Measu emen poin -1 Measu emen poin -2 Measu emen poin -3 Fig 13. Di e en measu emen poin s max.p essu e-expe imen al and neu al ne wo k esul s(Del a-ba -del a algo i hm) Del a-ba -del a algo i hm, neu al ne wo k he ou pu da a o he desi ed alues a h ee measu emen poin s has been able o ollow he e ec o ib a ion. Measu emen poin -1 Measu emen poin -2 0 0,5 1 1,5 2 2,5 110 19 28 37 46 55 64 73 82 İ me [m/s2] zaman[s] ysa deneysel Recen Inno a ions in Mecha onics (RIiM) Vol. 3. (2016). No. 1-2. DOI: 10.17667/ iim.2016.1-2/14. Measu emen poin -3 Fig 14. Di e en measu emen poin s min..p essu e-expe imen al and neu al ne wo k esul s (Backp opaga ion algo i hm ) In he abo e g aph, p essu e, esul s o back p opaga ion algo i hm a e gi en. ANN, a he poin s whe e he ib a ion is able o ack sudden changes o he desi ed alues. Apa om ha ANN’ s accu acy he pe cen age o he algo i hm o 50%. Whe e 2 alues a e lowe ib a ion. ela i ely good esul s we e ob ained a he poin o measu emen . Measu emen poin -1 Measu emen poin -2 Measu emen poin -3 Fig 15. Di e en measu emen poin s o min.p essu e-expe imen al and neu al ne wo k esul s(Del a-ba -del a algo i hm) As seen in Figu e 15, he la ges alue o 1 ib a ion we e ob ained a he measu emen poin . ANN, del a-ba -del a algo i hm did no gi e he desi ed esul . ANN’ s displayed a s able image ou pu da a. ANN’ s he accu acy a e is almos negligible. VI. CONCLUSIONS In his s udy, wo di e en es s a ions, PLC con olled pneuma ic sepa a o and he sepa a ion o es se s om di e en poin s o accele a ion and ib a ion analysis using neu al ne wo k modeling wi h noise e ec s was ca ied ou . As a esul , he ib a ion occu ing a di e en wo king p essu es and p essu e changes in pneuma ic sys ems and e iewed he e ec o ib a ion was in es iga ed. Expe imen al and i e di e en algo i hm by using simula ion esul s ob ained a e e alua ed, he as p opaga ion algo i hm and in he back p opaga ion algo i hm simula ion esul s ob ained o he same beha io expe imen al esul s ibu e capabili y, he algo i hms he ib a ion pa ame e s can be used in eal- ime.      REFERENCES [1] Smaoui, M., B un, X., Thomasse , D., 2006. A s udy on acking posi ion con ol o an elec opneuma ics sys em using backs epping design. Con ol Enginee ing P ac ice, 14: 923-933. [2] Akkaya, A. V., Se ilgen, S. H., E dem, H. H., Çe in, B., 2005. 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