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Model predictive control with constant switching frequency using a discrete space vector modulation with virtual state vectors

Cortés, P.; Kouro, Samir; Vázquez Pérez, Sergio; León Galván, José Ignacio; García Franquelo, Leopoldo; Carrasco Solís, Juan Manuel; Martínez, O; Rodríguez, José

Abstract

Finite states model predictive control (FS-MPC) appears as a promising control technique to be applied to power converters in the industry. However, the FS-MPC presents some drawbacks as non constant switching frequency and high sampling frequency. This work proposes a FS-MPC with constant switching frequency and low sampling frequency applying a discrete space vector modulation (DSVM) technique. The real state vectors of the converter are used together with new virtual state vectors forming switching sequences each sampling period. The advantages and disadvantages of the proposed FS-MPC with the DSVM are analysed using a two-level three-phase inverter connected to the grid as setup to introduce the proposed technique. Simulation results are presented, showing that using the proposed technique the switching frequency is fixed and the sampling frequency can be lowered without reducing the quality of the converter behaviour.

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Model P edic i e Con ol wi h Cons an Swi ching F equency Using a Disc e e Space Vec o Modula ion wi h Vi ual S a e Vec o s Abs ac — Fini e S a es Model P edic i e Con ol (FS-MPC) appea s as a p omising con ol echnique o be applied o powe con e e s in he indus y. Howe e , he FS-MPC p esen s some d awbacks as non cons an swi ching equency and high sampling equency. This wo k p oposes a FS-MPC wi h cons an swi ching equency and low sampling equency applying a Disc e e Space Vec o Modula ion (DSVM) echnique. The eal s a e ec o s o he con e e a e used oge he wi h new i ual s a e ec o s o ming swi ching sequences each sampling pe iod. The ad an ages and disad an ages o he p oposed FS-MPC wi h he DSVM a e analyzed using a wo-le el h ee-phase in e e connec ed o he g id as se up o in oduce he p oposed echnique. Simula ion esul s a e p esen ed, showing ha using he p oposed echnique he swi ching equency is ixed and he sampling equency can be lowe ed wi hou educing he quali y o he con e e beha io . I. INTRODUCTION SINCE powe con e e s appea he de elopmen o di - e en applica ions and hei associa ed con ol s a egies ha e been a challenge in he powe elec onics ield. Se e al con ol echniques ha e been applied o he powe con e e s. Linea con olle s and non linea con olle s including adap i e con ol, epe i i e con ol, uzzy con ol and p edic i e con ol ha e been widely used in di e en applica ions as ec i ie s, in e e s, ac i e powe il e s, unin e up ible powe supplies and mo o s con ol [1]–[4]. Among he p edic i e echniques, deadbea con olle s and Model P edic i e Con ol (MPC) ha e s and ou due o hei good p ope ies [5]–[8]. The implemen a ion o MPC o powe con e e s can be di icul due o he la ge amoun o calcula ions needed o sol e online he op imiza ion p oblem. To o e come his, wo solu ions has been p oposed: o line calcula ion o he op imal solu ions [9], and calcula ion o he op imal solu ion by e alua ion o all possible swi ching s a es. This las solu ion has been called Fini e S a es Model P edic i e Con ol (FS-MPC), because i akes in o accoun only he ini e numbe o possible swi ching s a es, and can be easily implemen ed using s anda d con ol ha dwa e. In he pa icula case o FS-MPC, se e al applica ions as ec i ie [10], in e e [11], [12], unin e up ible powe supply [13] and mo o con ol [14], ha e shown ha his ype o con ol p esen s high pe o mance wi hou he necessi y o adjus con olle pa ame e s o ob ain an op imized beha io o he o e all sys em. In despi e o he good ea u es shown, he FS-MPC has wo main d awbacks ha makes e y di icul i s use in eal indus ial powe con e e s. The FS-MPC needs a high sampling equency o achie e high pe o mance, his en ails high compu a ional cos and he e o e expensi e DSP o FPGA ha dwa e. Besides FS-MPC applica ions show non cons an swi ching wi h a widesp ead spec um o he ou pu cu en s and ol ages. This ac leads o he necessi y o la ge induc o and capaci o s alues o he connec ion passi e il e s, inc easing he weigh , olume and cos o he powe con e e . These d awbacks a e p esen in o he disc e e con olle s as Di ec Powe Con ol (DPC) in ec i ie s applica ions and Di ec To que Con ol (DTC) in mo o con ol [15], [16]. Bo h con ol echniques a e based on choosing in a look up able (LUT) he bes ou pu s a e o minimize he e o s be ween he command e e ences and he ac ual alues o ins an aneous ac i e and eac i e powe (DPC), o o que and lux (DTC). To enhance he pe o mance o DTC he use o a Disc e e Space Vec o Modula ion (DSVM) has been p oposed [17]– [22], imp o ing he d i e pe o mance h ough he use o new s a es wi h a p e ixed ime in e als. In his pape his concep is ex ended o he FS-MPC and he use o DSVM o ca y ou he FS-MPC is p oposed. This new echnique is called MPC-DSVM. The p oposed me hod allows o achie e he con ol objec i es wi h low sampling equency and cons an swi ching equency. To assess he MPC-DSVM, simula ions esul s a e p esen ed using a con en ional wo- le el h ee-phase in e e connec ed o he g id. Finally he ad an ages and disad an ages o he p oposed FS-MPC wi h he DSVM a e analyzed. II. FS-MPC FS-MPC is based on he minimiza ion o a de ined cos unc ion s udying he p edic ed esponse o each disc e e ou pu s a e o a powe con e e . Each sampling ime (Ts), he FS-MPC e alua es all possible ou pu s a es and chooses he s a e ha minimizes a cos unc ion as he s a e o be applied o he con e e . FS-MPC echnique p esen s he ad an ages and disad an ages summa ized in Table I and Table II espec i ely. Among he mos aluable cha ac e is ics o FS-MPC i can be no iced ha high pe o mance con olle s can be implemen ed s aigh o wa d. Howe e his equi es high sam- pling equency, which de e mines he con ol ha dwa e o TABLE I ADVANTAGES OF FS-MPC CONTROLLERS Easy implemen a ion wi h high pe o mance No necessi y o cons an s con olle uning p ocedu es Easy o include any pa ame e op imiza ion c i e ia in he cos unc ion Takes in o accoun he disc e e na u e o he con e e TABLE II DRAWBACKS OF FS-MPC CONTROLLERS Needs high sampling equency s o ob ain high pe o mance P esen s non cons an swi ching equency sw , limi ed by s/2 Does no use he comple e con e e con ol egion be used o con ol he powe con e e . Ano he no iceable ea u es a e he no necessi y o cons an s con olle uning p ocedu es and ease o include any cons ain o pa ame e op imiza ion c i e ia in he cos unc ion. Finally, FS-MPC akes in o accoun he disc e e na u e o he con e e . As a consequence, FS-MPC does no use he comple e con e e con ol egion, only he disc e e eal s a es o he con e e (Fig. 1). This ac oge he wi h he possibili y o he cos unc ion o choose se e al consecu i e imes he same disc e e eal s a e as he op imum s a e, leads FS-MPC o p esen non cons an swi ching equency( sw). Besides sw can be as high as hal he sampling equency( s)due o he e is no es ic ion in he swi ching sequence unless i is included in he cos unc ion. FS-MPC con olle s a e also cha ac e ized by he way hey gene a e he powe swi ch i ing pulses. In compa ison wi h ex e nal modula o based con olle s, FS-MPC does no need a modula o o gene a e he i ing pulses. The powe swi ch ga e signals can be ob ained om a LUT, whe e he co espondence be ween he disc e e eal s a es o he con e e and he ga e signals a e s o ed. Al hough i is no necessa y, i is possible o gene a e he FS-MPC i ing pulses using an ex e nal modula o as i is shown in Fig. 2. The use o an ex e nal modula o does no complica e he ha dwa e used in he applica ion, bu opens new possibili ies o FS-MPC as he comple e con e e con ol egion is easily accessible. III. MPC-DSVM FS-MPC only conside s he con e e disc e e eal s a es o p edic he sys em esponse and o e alua e he FS-MPC cos unc ion. Al hough his leads o high dynamic pe o mance o he sys em, he comple e con ol egion o he con e e is no used and as a consequence some d awbacks appea as was shown in sec ion II. The idea o MPC-DSVM is o use no only he con e e disc e e eal s a es bu in addi ion o he poin s o he con ol egion called i ual ec o s [23]. These i ual ec o s can be loca ed in any posi ion o he con e e con ol egion and ha e o be syn hesized by a linea combina ion o he con e e disc e e eal s a es. Fig. 3 shows he con ol egion o he wo-le el h ee-phase con e e whe e he con e e disc e e eal s a e ec o s ( ound ma ks) and wel e addi ional i ual ec o s (squa e ma ks) ha e been ep esen ed. In gene al, any numbe o i ual ec o s can be plo ed in he con ol egion. The con e e i ual ec o s can be gene a ed as a linea combina ion o he disc e e eal s a es o he con e e by using a disc e e space ec o modula ion (DSVM). The DSVM echnique is a space ec o modula ion based on he use o a ini e numbe o i ual ec o s placed in he con ol egion o he powe con e e ins ead o using he whole con e e α β (100) V1 (000) V0 (111) V7 (110) V2 (010) V3 (011) V4 (001) V5(101) V6 Con e e con ol egion Con e e eal s a es Fig. 1. Con ol egion o a wo-le el h ee-phase con e e in he αβ ame. Sa,k+1 = 0 Sb,k+1 = 0 Sc,k+1 = 1 Sa,k = 1 Sb,k = 0 Sc,k = 1 α β (100) V1 (000) V0 (111) V7 (110) V2 (010) V3 (011) V4 Con e e con ol egion Con e e eal s a es (001) V5(101) V6 a b TsTs Sa,k Sa,k+1 PWM TsTs On O LUT Ga e Signal Ga e Signal Fig. 2. Gene a ion o he powe swi ch i ing pulses wi h FS-MPC. a) Th ough LUT. b) Th ough ex e nal PWM modula o . α β (100) V1 (000) V0 (111) V7 (110) V2 (010) V3 (011) V4 (001) V5(101) V6 Con e e con ol egion Con e e eal s a es Con e e i ual s a es (1;0.5;0) Vk Fig. 3. Con ol egion o a wo-le el h ee-phase con e e in he αβ ame including wel e i ual s a es. con ol egion. The concep o DSVM was in oduced in [17], [18], and has been used o educe he o que and cu en ipple in DTC applica ions [19]–[22]. Any i ual ec o i can be achie ed by a linea combi- na ion o h ee eal ec o s V eal, whe e each eal ec o is applied in a swi ching sequence a ce ain ime quan i y. i =X j=1,2,3 jV eal j 1+ 2+ 3=Tsw (1) V eal j∈ {V0, V1, . . . , V7} In (1), Tsw ep esen s he swi ching ime, i Tsw is ixed equal o all he i ual ec o s hen Tsw is ans o med in he swi ching pe iod and he swi ching equency o MPC-DSVM is ixed, sol ing in his way one o he mayo issues o con en ional FS-MPC. As in FS-MPC, he numbe o ec o s o be e alua ed is ini e so i is possible o use a LUT o s o e he swi ching ec o sequence and imes. Howe e when he numbe o i ual ec o s inc eases a be e solu ion is o use an ex e nal modula o o gene a e he powe swi ch ga e signals as i is shown in Fig. 4. IV. SIMULATIONS RESULTS MPC-DSVM echnique can be employed in any powe con- e e applica ion ha uses FS-MPC as con ol echnique. Fo he shake o simplici y, o p esen he concep o MPC-DSVM a con en ional wo-le el h ee-phase in e e connec ed o he g id is used. The h ee-phase wo-le el powe con e e is depic ed in Fig. 5, whe e he neu al poin is deno ed by n. The sys em is connec ed o he g id h ough smoo hing induc o s Land a cons an DC ol age sou ce Vdc is connec ed in he DC e minals o he con e e . The sys em pa ame e s and a iables a e desc ibed in Table III. The equa ions ha desc ibe he inpu cu en s dynamics can be de i ed om he sys em model in he s a iona y αβ ame. The a iables in he s a iona y ame a e calcula ed as {·}T αβ = A{·}T abc. αβ =Ldiαβ d +Vdc 2Sαβ (2) A=q2 3"1−1 2−1 2 0√3 2−√3 2#(3) The con ol objec i e o he h ee-phase powe in e e is he inpu cu en acking owa ds hei e e ences, i∗ αand i∗ β TABLE III SYSTEM VARIABLES AND PARAMETERS Va iable Desc ip ion ={ an bn cn}TPhase o neu al inpu ol age ec o i={iaibic}TPhase inpu cu en ec o S={SaSbSc}TCon ol inpu ec o ωG id equency LSmoo hing induc o Vdc DC ol age sou ce alue a b TsTs Sa,k Sa,k+1 PWM TsTs On On/O /OnLUT Ga e Signal Ga e Signal Sa,k+1 = 0.5 Sb,k+1 = 0 Sc,k+1 = 1 Sa,k = 1 Sb,k = 0 Sc,k = 1 α β (100) V1 (000) V0 (111) V7 (110) V2 (010) V3 (011) V4 Con e e con ol egion Con e e eal s a es Con e e i ual s a es (001) V5(101) V6 Fig. 4. Gene a ion o he powe swi ch i ing pulses wi h MPC-DSVM. a) Th ough LUT. b) Th ough ex e nal PWM modula o . a b c L L L s dc V a i c i b i an cn n bn Fig. 5. Th ee-phase wo le el powe in e e . espec i ely. These e e ences can be calcula ed in such a way ha ce ain alues o ac i e and eac i e powe a e injec ed o consumed om he g id, howe e his is ou o scope o his pape . iα→i∗ α(4) iβ→i∗ β(5) In [11] a FS-MPC cu en con olle o he h ee-phase wo-le el in e e is p oposed. This con ol algo i hm has been modi ied as i is shown in Fig. 6, whe e he numbe o disc e e ou pu s a es unde conce n is n , including he e alua ion o he eal and i ual s a e ec o s. The inal ha dwa e con igu a ion is p esen ed in Fig. 7 showing he powe con e e diag am block, whe e an ex e nal modula o has been used o gene a e he i ing pulses. Se e al simula ions ha e been pe o med o analyze he in luence on he powe con e e pe o mance when i ual ec o s a e used diminishing he sampling equency. In Table IV he pa ame e alues used in he simula ions a e sum- ma ized. Fou di e en si ua ions ha e been conside ed. The Fig. 6. Flow diag am o he MPC-DSVM con ol algo i hm. L PWM-SVM Ga e Signals Con e e n Fig. 7. Powe con e e diag am block using MPC-DSVM. i s one is a FS-MPC e alua ing only he eigh eal s a e ec o s using high sampling equency. Secondly he FS-MPC pe o mance is e alua ed when he sampling equency is i e imes slowe . The hi d expe imen uses he p oposed MPC-DSVM wi h he same sampling equency as he second si ua ion, bu e alua es hi y eigh ou pu ec o s a es (eigh eal and hi y i ual s a es). In his way he compu a ional e o has been kep cons an compa ed wi h expe imen 1. Finally MPC-DSVM wi h a highe numbe o i ual ec o s is conside ed bu he sampling equency is kep as in he second and hi d expe imen . In Table V a e shown he sampling equency and he TABLE IV SIMULATION PARAMETERS VALUES Pa ame e Value an, bn, cn 230V ms i∗ a,peak, i∗ b,peak, i∗ c,peak 20A ω50Hz L2mH Vdc 750V TABLE V GRID CURRENT THD VALUES sn cu en THD Expe imen 1 50 kHz 8 2.0% Expe imen 2 10 kHz 8 23.1% Expe imen 3 10 kHz 38 11.0% TABLE VI GRID CURRENT THD VALUES FOR HIGH n s:10 kHz n 62 332 1262 4922 cu en THD 7.2% 3.7% 2.0% 1.8% numbe o disc e e ou pu ec o s (n ) used in expe imen s 1, 2 and 3, oge he wi h he cu en o al ha monic dis o ion (THD) alue ob ained in each case. The cu en THD has been calcula ed up o ha monic 49 h. I can be no iced ha expe imen 1, co esponding wi h FS-MPC echnique, p esen s he lowes ha monic con en . Expe imen 2 also co esponds wi h FS-MPC, bu as he sampling equency has been educed hen he pe o mance o he con olle is highly de e io a ed. Finally, he p oposed MPC-DSVM is pe o med in expe imen 3. When compa ed wi h expe imen 2, he THD alue has been educed in 50%, howe e his alue is highe han THD ob ained wi h FS-MPC in expe imen 1. Fig. 8, 9 and 10 show he g id cu en wa e o m o phase a, i s e e ence and i s ha monic spec um o expe imen s 1, 2 and 3 espec i ely. I can be no iced in Fig. 8 ha cu en ipple o FS-MPC wi h high sampling equency is e y small. In addi ion, ha monic con en is small bu he spec um is widesp ead. In Fig. 9 he cu en ipple has inc eased as he sampling equency is lowe , besides he spec um is widesp ead as FS-MPC is used. When MPC-DSVM is em- ployed he cu en ipple achie es lowe alues ha FS-MPC wi h he same sampling equency as i is shown in Fig. 10. Besides, in he ha monic spec um can be no iced ha equency componen s a e less sp ead and a peak appea s in he swi ching equency. In expe imen 4 is s udied he pe o mance o MPC-DSVM when he numbe o addi ional i ual ec o s is inc eased. Table VI shows he cu en THD o di e en alues o n . I can be no iced ha THD diminishes as he numbe o addi ional i ual ec o inc eases, being possible o ob ain e en lowe THD han wi h FS-MPC. In Fig. 11 he esul s ob ained wi h n = 4922 a e shown, i can be obse ed ha cu en ipple is almos iden ical o he FS-MPC con olle wi h high sampling equency in expe imen 1, bu in con as ha ing a ixed swi ching equency. To s udy a high numbe o ou pu s a es p o ides high pe o mance o MPC-DSVM. Howe e , MPC-DSVM has o e alua e all he disc e e ou pu ec o s o minimize he cos unc ion. The con ol ha dwa e de e mines he maximum numbe o disc e e ou pu s a es ha can be s udied each sampling ime, limi ing in his way he pe o mance o he sys em. 0 0.01 0.02 0.03 0.04 ÿ35 0 35 Time(s) ia,i* a(A) 0 5000 10000 15000 0 3.5 7 F equency(Hz) THD(%) Fig. 8. Simula ion esul s o s= 50kHz and n = 8. F om op o bo om: a) Phase a cu en and e e ence. b) Phase a cu en ha monic spec um. 0 0.01 0.02 0.03 0.04 ÿ35 0 35 Time(s) ia,i* a(A) 0 5000 10000 15000 0 3.5 7 F equency(Hz) THD(%) Fig. 9. Simula ion esul s o s= 10kHz and n = 8. F om op o bo om: a) Phase a cu en and e e ence. b) Phase a cu en ha monic spec um. V. ANALYSIS OF MPC-DSVM Tables VII and VIII summa ize he ad an ages and disad- an ages o p oposed MPC-DSVM. This echnique has he same ad an ages o FS-MPC and includes wo new powe - ul ea u es, cons an swi ching equency and low sampling equency. Bo h cha ac e is ics a e consequence o a be e use o he con e e con ol egion. The cons an swi ching equency makes easie he design o passi e il e s and he low equency educes he con ol ha dwa e equi emen s. On he o he side, when MPC-DSVM is employed new conce ns ap- pea compa ed wi h FS-MPC. MPC-DSVM needs an ex e nal modula o and his o ces a mo e complex con ol ha dwa e. Mode n DSPs include build-in pe iphe als o do his ask o i can be buil easily in a FPGA. Besides a new challenge eme ges in low sampling equency MPC-DSVM. To ob ain simila pe o mance o ha wi h high sampling equency FS-MPC i is necessa y o e alua e a high numbe o disc e e ou pu s a es. This issue could be sol ed wi h a sma choosing o he i ual ec o s o be analyzed in each sampling ime. 0 0.01 0.02 0.03 0.04 ÿ35 0 35 Time(s) ia,i* a(A) 0 5000 10000 15000 0 3.5 7 F equency(Hz) THD(%) Fig. 10. Simula ion esul s o s= 10kHz and n = 38. F om op o bo om: a) Phase a cu en and e e ence. b) Phase a cu en ha monic spec um. 0 0.01 0.02 0.03 0.04 ÿ35 0 35 Time(s) ia,i* a(A) 0 5000 10000 15000 0 3.5 7 F equency(Hz) THD(%) Fig. 11. Simula ion esul s o s=10kHz and n =4922. F om op o bo om: a) Phase a cu en and e e ence. b) Phase a cu en ha monic spec um. TABLE VII ADVANTAGES OF MPC-DSVM CONTROLLERS Easy implemen a ion wi h high pe o mance No necessi y o cons an s con olle uning p ocedu es Easy o include any pa ame e op imiza ion c i e ia in he cos unc ion Takes in o accoun he disc e e na u e o he con e e P esen s cons an swi ching equency sw High pe o mance wi h low sampling equency s Takes be e ad an age o he con e e con ol egion TABLE VIII DRAWBACKS OF MPC-DSVM CONTROLLERS Needs a LUT o an ex e nal modula o o gene a e he i ing pulses Low sinc eases he compu a ional e o o achie e high pe o mance VI. CONCLUSIONS This pape p esen s a Fini e S a es Model P edic i e Con ol (FS-MPC) s a egy wi h cons an swi ching equency. To achie e his ea u e, a Disc e e Space Vec o Modula ion (DSVM) is added o he FS-MPC. The p oposed MPC-DSVM is based on he e alua ion o new ou pu ec o s in he con olle algo i hm. These ou pu ec o s, called i ual ec- o s, a e no eal con e e s a e ec o s and ha e o be syn hesized h ough a ex e nal modula o . 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