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

Guráš, Radek

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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O iginal Pape Measu emen and Con ol 2022, Vol. 55(1-2) 94–101 © The Au ho (s) 2022 A icle euse guidelines: sagepub.com/jou nals-pe missions DOI: 10.1177/00202940221076961 jou nals.sagepub.com/home/mac 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 C ea i e Commons CC BY: This a icle is dis ibu ed unde he e ms o he C ea i e Commons A ibu ion 4.0 License (h ps://c ea i ecommons.o g/licenses/by/4.0/) which pe mi s any use, ep oduc ion and dis ibu ion o he wo k wi hou u he pe mission p o ided he o iginal wo k is a ibu ed as specified on he SAGE and Open Access pages (h ps://us.sagepub.com/en- us/nam/open-access-a -sage). 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 Re e ences 1. Gu as R and Mahdal M Nonlinea in eg al sys em con ol [online]. In: 2020 21 h In e na ional Ca pa hian Con ol Con e ence (ICCC), 2020, Koˇ sice, Slo ak Republic, 2020-10- 27, pp. 1–4. [ci . 2021-7-15]. DOI: 10.1109/ICCC49264.2020. 9257237 2. Kaya I. A PI-PD con olle design o con ol o uns able and in eg a ing p ocesses. ISA T ans 2003; 42(1): 111–121, [ci . 2021-9-9]. DOI: 10.1016/S0019-0578(07)60118-9. 3. Simhachalam D, Dey C and Mudi RK. An au o- uning PD con olle o DC se o posi ion con ol sys em. 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