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

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

Author: Cortés, P.; Kouro, Samir; Vázquez Pérez, Sergio; León Galván, José Ignacio; García Franquelo, Leopoldo; Carrasco Solís, Juan Manuel; Martínez, O; Rodríguez, José
Year: 2009
Source: https://idus.us.es/bitstreams/66d2ad58-c503-468a-b438-bcdde1d021df/download
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 . I has been shown
ha MPC-DSVM p esen s he same ad an ages o FS-MPC
and addi ionally can wo k wi h low sampling equency and
ixed swi ching equency. Besides, he in luence o he num-
be o ou pu ec o s e alua ed ha e been analyzed. I has
been shown ha o low sampling equency wi h highe
pe o mance, MPC-DSVM equi es a la ge numbe o i ual
ec o s. Howe e e en be e pe o mance han FS-MPC can
be achie ed, so new challenges ha e been add essed.
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