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Engineering, Technology & Applied Science Research Vol. 12, No. 3, 2022, 8658-8666 8658 
 

www.etasr.com Giang et al.: Drive Control of a Permanent Magnet Synchronous Motor Fed by a Multi-level Inverter … 

 

Drive Control of a Permanent Magnet Synchronous 

Motor Fed by a Multi-level Inverter for Electric 

Vehicle Application 
 

Pham Thi Giang 

Faculty of Electrical Engineering 

University of Economics-Technology for Industries 
Hanoi, Vietnam 

ptgiang@uneti.edu.vn 

Vo Thanh Ha 

Faculty of Electrical and Electronic Engineering 

University of Transport and Communications 
Hanoi, Vietnam 

vothanhha.ktd@utc.edu.vn 

Vu Hoang Phuong 

School of Electrical Engineering 
Hanoi University Science and Technology 

Hanoi, Vietnam 

phuong.vuhoang@hust.edu.vn 
 

Received: 22 March 2022 | Revised: 7 April 2022 and 14 April 2022 | Accepted: 17 April 2022 

 

Abstract-This paper presents the drive control of a Permanent 

Magnet Synchronous Motor (PMSM) fed by a multi-level 

inverter for electric vehicle application. In particular, the 
advantage of torque mobilization of the PMSM engine has been 

selected for the electric drive of electric cars. In addition, to 

improve the transmission quality of electric vehicles to ensure 

requirements, the T-type three-level inverter will be proposed in 

the control structure of electric vehicles. Moreover, the challenge 

of torque entails determining the appropriate physical qualities. 

Therefore, the design of an active damping and current 

controller to provide rapid and precise torque response to the 

induced torsional moment was also conducted. Finally, the results 

of Plecs simulations prove the correctness of the theoretical 
research. The simulation results demonstrate the research theory. 

Keywords-multilevel inverter; T-type inverter; PMSM; active 

damping; electric vehicles; FOC 

I. INTRODUCTION  

Electric vehicles have been around for a long time, but their 
use has grown enormously over the last few years. Many 
electric car applications that solve energy and pollution 
problems have been developed, put into commercial 
production, and used in practice [1]. Electric cars have the 
advantages of electric motors, such as the ability to quickly and 
accurately generate torque, whereas torque control is also 
realized [2]. However, electric cars still have limitations such 
as long charging time, inflexibility, and high cost. Regarding 
the outstanding advantages of electric cars, in terms of high 
performance and environmental friendliness, and considering 
the efforts to find solutions to reduce battery charging time, 
lead to the complete replacement of cars powered by internal 
combustion engines by electric vehicles in the future [3]. 

Scientists have studied technological issues inside electric cars 
to develop solutions to improve electric vehicles' quality of 
motion, energy, and performance. According to [4, 5] the 
structure of an electric car normally includes components such 
as electric motor, controller, inverter, battery, charging port, 
powertrain, battery, etc. as shown in Figure 1.  

 

 
Fig. 1.  The structure of a normal electric car. 

In the longitudinal traction structure of Figure 1, we 
consider some problems with improving the transmission 
quality of electric cars to ensure requirements, so there is a 
need to pay attention to the following: 

Firstly, electric motors have outstanding advantages in 
terms of controllability, allowing the use of advanced control 
methods to control the motor, thereby improving the 
kinematics of the car. Therefore, the issue of selecting the 
engine most suitable for electric car transmission has always 
been considered by many scientists and automobile companies. 

Corresponding author: Vo Thanh Ha



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Some motors have been used for electric cars, such as DC 
motors, which have the advantage of being easy to control. The 
disadvantage of this type of motors is the need for manifolds 
and brushes. It has a low lifespan, requires regular 
maintenance, and is unsuitable for hot, humid, and dusty 
conditions. As semiconductor valve technology, 
microprocessors and control techniques develop strongly and 
DC motors have been gradually replaced by other types of 
motors [6]. The Brushless DC Motor (BLDC) is a type of 
permanent magnet synchronous motor with trapezoidal 
reactance. The BLDC motor has the same mechanical 
characteristics, power density, high torque capacity, and high 
efficiency as a DC motor. The main disadvantage of the BLDC 
motor is the significant torque undulation [7-9]. AC motors, 
such as squirrel-cage rotor (IM) asynchronous motors, have the 
advantages of low cost, typical use, and ease of manufacture. It 
is possible to implement advanced vector control algorithms for 
IM engines with the current technology, meeting the necessary 
technological requirements. The disadvantage of the IM motor 
is its low efficiency, especially in light load mode [6]. The 
PMSM can be considered the most suitable motor for electric 
vehicle application with a high-efficiency large torque capacity, 
while it can be controlled with good quality. In particular, the 
Interior Permanent Magnet Synchronous Motor (IPMSM) has 
many advantages, suitable for electric cars [10]. The magnetic 
motor has benefits such as high efficiency, sizeable power-to-
size ratio, high power density, long life, small moment of 
inertia, wide operating speed range, large amount of 
torque/current, and low noise stability. Therefore, magnetic 
motors have been promised to be widely used in transmission 
systems with high-quality speed regulation, such as electric 
vehicle robots [6, 11]. However, the cost is high and control is 
complicated. Based on the characteristics of electric motors 
used for electric cars, in this paper we will consider PMSMs.  

Secondly, the inverter converts the DC voltage from the 
battery into the AC voltage to power the motor. The inverter is 
a virtual device, contributing to the improvement of the 
transmission quality to ensure the required specifications. 
Therefore, the choice of the suitable inverter for this drive 
system is also a problem considered by many scientists [12]. It 
was found that multi-level inverters have advantages over two-
level inverters [13]. Based on the current scientific research, it 
has been discovered that in the control structure of traction 
power transmission systems, 2-level voltage source inverters 
with power circuits including six semiconductor valves and the 
SVM Pulse Width Modulation (PWM) technique are often 
used. However, a multi-level inverter has more advantages than 
a two-level inverter for reducing THD [14]. Acroding to [15], 
the 3-phase current has a conventional sinusoidal shape with 
Total Harmonic Distortion (THD) equal to 7.53%, while the 2-
level inverters have THD equal to 11.39%. In addition, the 
multi-level inverter comprises semiconductor valves and a DC 
voltage source, and the output voltage is in the form of 
wavelengths [16]. Therefore, the output voltage of a multi-level 
inverter may be made sinusoidal with low THD by increasing 
the number of voltage levels. This paper used -a three-level T-
type inverter fed by a PMSM motor in an electric vehicle to 
improve fast and accurate torque response. 

Thirdly, the torque of the motor shaft Tm is the control input 
variable, and the angular velocity ω of the wheel is the control 
lever output. When the motor speed changes, the anti-slip is 
controlled by changing the magnitude of the torque Tm. On the 
other hand, the motor shaft end torque is linearly dependent on 
the current flowing in the motor. Therefore, to adjust the torque 
Tm, we control the starter motor's stator current. The set value 
of the stator current flowing in the primary engine is the 
required current proportional to the pedal angle. In addition, 
due to their structural characteristics, the electric vehicles are 
prone to small fluctuations during the entry/exit of the 
accelerator pedal, the resonant frequency of the controller, and 
during acceleration. This means that the signal to set the motor 
speed is affected by this oscillation. At the same time, the 
control object (wheel) does not consider the jerking 
phenomenon (Ts×Kgear = 0), so the difference between the 
price-setting value and feedback will cause recoil. If not 
rectified and extinguished, this recoil can cause discomfort to 
the occupants in the vehicle [17, 18]. 

II. MATHEMATICAL MODEL AND CONTROL OF THE 
ELECTRIC CAR POWER SYSTEM 

A. Mathematical Model of the PMSM Synchronous Motor 

According to [19], the dq coordinate system to have the 
system of equations of PMSM motor is : 

sd

sd sd s sd e sq sq

sq

sq sq s sq e sd sd e f

di
u L R i L i

dt

di
u L R i L i

dt

ω

ω ω ψ


= + −= + −= + −= + −


 = + + += + + += + + += + + +


    (1) 

The equation for calculating the torque of the motor is: 

( )3
2

m p f sq sd sq sd sq
T P i L L i iψ = + −      (2) 

The torque of the motor consists of two components: the 

main component
f sq
iψ and the reactive component due to the 

difference 
sd sq

L L− . When building a control system, we need 
to control the stator current vector is such that the vertical 
current vector is perpendicular to the polar flux and there is no 
magnetizing current component, but only a torque generating 

current component or 0sdI = . The equation describing the 
motor torque is: 

3

2
T P i
m p f sq

ψ=     (3) 

B. Mathematical Model of the Electric Vehicle  

1) Description of the Gearbox and the Wheel System 

The gearbox model shows the angular speed and torque 

relationships according to the gear ratio 1
gear

k p .  

m gear h

h m gear

T k T

kω ω
=

 =

W

W

    (4) 



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where 
m

T  is motor torque, 
Wh

T the torque acting on the wheel, 
with 

Wi h
T T= , J is the moment of inertia of the motor. The 

equation of Newton's second law in the rotation of the motor is:  

m

em h

d
T T J

dt

ω
− =

W
    (5) 

The drive wheel model is described by: 

h h h

h L t h

v R

T T F R

ω=


= =

W W W

W W

    (6) 

When the wheel rests on the road surface with force N and 
is driven by a torque Twh, the vehicle will act on the road 
surface with a force F, and, respectively, the road surface will 
act against the vehicle with a force of the same value in the 
opposite direction as Ft. In this case, Ft is the frictional force 
and is the useful force component that causes the vehicle to 
move at speed Vx. 

. .
t v

F m g µ=     (7) 

where µ  is the grip coefficient. 

 

m
T

m
ω

wh
T

w h
ω R

arge
K

 
Fig. 2.  Description of the gearbox and the wheel system. 

w h
T

ω

R

ω

F
t wh

V

wh
w h

 
Fig. 3.  Drive wheel model. 

2) Equation of Motion of the Vehicle and External Force 

Components 

Applying Newton's second law to the components of the 
external force acting on the body of the vehicle, we have: 

. .sin( )ev
v t aero roll v

dv
m F F F m g

dt
α= − − −     (8) 

Air resistance: 

( )2
2

d F

aero ev wind

C A
F v v

ρ
= +     (9) 

In some cases, or in simulations, we can consider wind 

speed 0
ind

v =
w

. 

Rolling resistance exists in the case of an underinflated tire: 

roll r zY
F f F=     (10) 

cos( )
zY v

F m g α=     (11) 

 

. . .

m
T

m
ω

wh
T

wh
ω R

.

arge
K

wh
ω

N

F Ft

x
V

 

Fig. 4.  Transmission system, wheels, and the acting forces. 

C. Mathematical Model of Electric Vehicle Powertrain 

The model can be seen in Figure 5, where Tm is the driving 
part created by the engine and acting on the electric vehicle, J1, 
J2 are the moments of inertia of the motor and the load, and 
��,��� are motor speed and load.  

 

 
Fig. 5.  The structure of the electric vehicle model. 

The response on the engine side represents the mechanical 
system (axle stiffness, damping) and the body model. 
Therefore, it is necessary to have a mathematical relationship 
between these two components in the electric vehicle system. 
The model of the system when considering shaft stiffness and 
damping is: 



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.

1

.

W2 W

m m gear s

h s h

sd

sd sd s sd e sq sq

sq

sq sq s sq e sd sd e f

J T K T

J T T

di
u L R i L i

dt

di
u L R i L i

dt

ω

ω

ω

ω ω ψ


= −


= −




= + −



= + + +

    (12) 

.

.

W

ss s s s

s gear m h

T k b

K

θ θ

θ ω ω


= +


 = −

    (13) 

The mathematical model of the mechanical transmission 
system from the engine to the wheel hub is shown in Figure 6. 
From Figure 6, it is found that: 

• Combined with the model above, we will observe the 
vehicle's speed and Ft's traction force. 

• This model can be used to design an active damping unit. 
The parameter of interest is the speed of the motor shaft. 

 

 
Fig. 6.  Mathematical model of the mechanical transmission system from 

the engine to the wheel hub. 

D. Active Damping Controller Design [20] 

Changing the torque will have a difference between the 
motor and load angles, leading to oscillation or jerking due to 
uncontrollable torsion angles. In addition, a sudden step-change 
in motor torque leads to inertial instability of the motor. This 
recoil effect occurs due to the excitation of the natural 
frequency of the powertrain. This excitation is caused by a 
sudden change in the amount of torque applied, given by: 

0

ar
2

s

Ge m

K
f

K Jπ
=     (14) 

where Ks is the stiffness coefficient of the shaft, Jm corresponds 

to the rotor inertia of the motor, and KGear to the gear ratio of 
the gearbox. 

A practical solution to reduce powertrain oscillation is to 
actively control the torque set on the PMSM (reference torque - 

Tref), which needs to be increased gradually by subtracting an 
amount of torque Tdp (calculated from torsion angle and 
oscillation speed - active damping controller) With this 
method, the rotor speed is measured and fed to an external 
speed control loop.  

 

Motor
Dynamics and

 the wheel

K
Noise

refT

dpT

mω

 

Fig. 7.  The control structure of the anti-shock controller. 

In Figure 7, K is the active damping controller that needs to 
be designed. Compared with the kinematics of the electric 
vehicle, the motor can be considered the first-order inertia. 
Therefore, the parameters included in the active damping unit 
can be estimated through the abovementioned models. Besides, 
through the mechanical system, the inertial component is added 
to the motor shaft to change the natural frequency of vibration 
and the factors that cause the recoil effect. The structure of the 
active damping controller is shown in Figure 8. 

 

 
Fig. 8.  Active damping controller structure. 

The inertia of the mechanical system and the electric 
vehicle is converted to the motor shaft. For the mass of the car 
acting on the wheel, the vehicle's inertia on the wheel's axis is 
calculated and then divided by Kgear in order to be converted to 
the engine shaft. 

2

a 1 1

_
( _ )*

_
tot l ev

wheel Radius
J J J J EV Mass

Gear Ratio

 
= + = +  

 
    (15) 

A set signal that is the speed affected by the jerking 
phenomenon and the control object does not consider the cause 

of the jerk . 0
s gear

T K = . The difference between the set value 
and the feedback is that the cause of the draw through the 
controller will calculate the torque causing the pull. Combined 
with the set torque, it will calculate the correct torque that the 
motor needs not to jerk. When the difference between the set 
value and the feedback is zero or Td =0, respectively, there is 
no longer a component causing the jerking. The inertia 
component of the motor is minimal compared to the inertia of 
the whole team, so we consider it 

total ev
J J= . The closed 



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transfer function from the above model is synthesized to 
determine the set parameter PI. Equation (16) can express the 
available transfer function: 

2 2

( 1) ( 1)1 1
(1 ). .

p i i

h p

i ev i ev

K T s T s
G K k

T s J s T J s s

+ +
= + = =     (16) 

with 
p

i ev

K
k

T J
= . 

The closed transfer function is: 

2

2 2

2

( 1)
.

(1 )

( 1)1 (1 )
1 .

i

h i i
k

ih i i

T s
k

G k T s kT s ksG
T sG s k T s s kT s k

k
s

+
+ +

= = = =
++ + + + ++

    (17) 

According to the standard form of the quadratic function, it 
has the form: 

( )
2

2 2

2. . .

2. . .

n n

k

n n

s
G s

s s
ω

ξ ω ω
ξ ω ω

+
=

+ +
w w w

w w w

    (18) 

where 
wn

ω is the natural frequency of oscillation of the PI 
controller with Kp and TI  as follows:  

w w

2

w

2. . .

.

p n ev

p

i n ev

i

K J

K
K J

T

ξ ω

ω

=



= =


    (19) 

According to the documentation, we chose 
w

0.71ξ =  
(corresponds to overshoot 5%), 1

s
t s= . 

0.71

4

w

nw

w s
t

ξ

ω
ξ

=



= ∗

    (20) 

E. Stator Curent Controller Design [18, 21] 

The design of the torque controller for PMSM motors 
becomes vital in high-efficiency applications. The design 
process for synthesizing and implementing current drivers for 
PMSM motors is the same as for current controllers in 
asynchronous motor drives. To design a torque controller for a 
PMSM motor, it is necessary to understand the interaction of 
the motor, inverter, and current controller. Consider the gain of 
the inverter as Kr, and the time constant of the inverter as Tr, 
half the PWM carrier frequency duration. If the desired 
performance of the current control loop is the same as that of 
the system, then we have a first-order hysteresis step: 

1

d i

id

i K

sTi
∗
=

+
    (21) 

The current loop circuit is: 

{ }
(1 )

(1 ) (1 ) (1 )(1 )

q a t m

q c a r m r a b a m

i K K T s

i H K K sT sT K K sT sT
∗

+
=

+ + + + + +
    (22) 

where: 

1
a

s

K
R

= ; 
q

a

s

L
T

R
= ; 

m

r

i
K

B
= ; 

m

i

J
T

B
= ; b t m afK K K λ=  

The current transfer function is rewritten as: 

2

1 2

( )s

( )s ( )s

s

(1 )(1 )

q a t m

q a b m a t m c m af

r m

b

i K K T

i K K T K K T H T T

K T

K sT sT

∗
=

+ + +

 
≅  

+ + 

    (23) 

With 
1 2 m

T T Tp p  and based on further estimates, 

2 2
(1 )sT sT+ ≅  then the transfer function of the current loop is 
given by: 

(1 s )

q i

iq

i K

Ti
∗
≅=

+
    (24) 

where: 

1

2

;m r
i i

b

T K
K T T

T K
= =     (25) 

III. SVM MODULATION OF THE 3-LEVEL T-TYPE INVERTER 

The 3-phase design of a 3-level T-type inverter is shown in 
Figure 9 [16]. The 3-level T-type inverter works on 2 DC 
capacitors to divide the input voltage into two components and 
create a virtual neutral point. Properly adjusting and switching 
semiconductor valves will give a wire voltage in 5 levels: 

, / 2, / 2,dc dc dc dcV V V V− − + + . Thus, the output phase voltage has 

the form of 3 levels: / 2,0, / 2dc dcV V− + . 

 

 
Fig. 9.  Three-phase T-type inverter structure. 

A. Pulse Width Modulation SVM 

According to [16], PWM SVM is performed according to 
the following calculation steps: 

1) Step 1: Locate the Reference Vector 

The number of sectors S (S = I, II, ···, VI) is determined by 
Table I. 

TABLE I.  LOCATING THE HEXAGONS 

z1x.z1y < 0 z1x.z1y ≥ 0 
z2x.z2y < 0 z2x.z2y ≥≥≥≥ 0 

z1x<0 z1x≥≥≥≥0 
z3x<0 z3x≥0 z2x<0 z2x≥0 
Sec III Sec VI Sec V Sec II Sec IV Sec I 



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2) Step 2: Determine the Duty Cycle 

In this step, the three nearest vectors are determined, based 
on the three vertices of the modulation triangle, by calculating 
the duty cycle of the three most similar defined vectors, and by 
choosing the switching states of the semiconductor valves. 
With the assumption shown in Figure 10, the sum of the output 
voltage vector is as follows: 

The vector is represented by the vectors in (27): 

( )1 1 2 3V 1 p p pg h g hm m m m= − − + +
r r r r

    (27) 

( ) ( ) ( )2 4 3 21 1 1g gh hV m m p m p m p= + − + − + −
r r r r

    (28) 

0

mg

m
h

Z1y

Z1x
2
p(kg+1,kh)
rrrr

1
V
rrrr 2

V
rrrr

4
p(kg+1,kh+1)
rrrr3

p(kg,kh+1)
rrrr

1
p(kg,kh)
rrrr

 
Fig. 10.  Synthesizing the output voltage vector from the 3 vectors of the 

sub-triangle. 

The coefficients mg and mh are determined as: 

1 1 1

1 1 1

g x x x g

h y y y h

m z z z k

m z z z k

 = −   = − 


 = − = −  

    (29) 

with 
1 1 g x h yk z , k z =   =    . 

3) Step 3: Determine the Switching State 

If taking coordinates kA = k, the coefficient k must satisfy 

this condition: M 1 M 1k
2 2

− −
− ≤ ≤ . The coordinates of the state 

vector in (a, b, c) coordinate system are given by: 

1

1

1

1 1

AN

x

BN x

y

CN x y

k k
k

k k k
k

k k k k

  
    ≈ = −    
     − −   

    (30) 

B. Algorithm to Balance Voltage on Two DC Capacitors 

using the SVM Modulation 

DC voltage unbalance will degrade the inverter output 
voltage harmonic quality and this is not allowable. Therefore, 
dealing with this problem is necessary for multi-level inverters 
in general and T-type inverters in particular. 

The implementation steps are: 

• Step 1: Measure the voltages on the capacitor Udc1, Udc2. 

• Step 2: Compare the voltage on the two capacitors 

• Step 3: If Udc1 > Udc2, discharge voltage on capacitor C1, 
and charge capacitor C2.  

• Step 4: If Udc2 > Udc1, then discharge the voltage on the 
capacitor C2 and at the same time charge the capacitor C2. 

IV. SIMULATION RESULTS 

Based on the PMSM motor modeling, load, active damping 
controller, torque, and voltage SVM pulse modulation for the 
T-type 3-level inverter are simulated. The Plecs simulation of 
the structure of drive control of a PMSM motor fed by a three-
level T-type inverter for electric vehicles application shown in 
Figure 11. 

A. Simulation Results of the T-Type Inverter 

Based on the above, an electric car control structure 
powered by a 3-level T-type inverter was built and simulations 
were conducted with a 3-level T-type inverter and engine 
parameters. A 3-level T-type inverter was simulated with a 
resistive load to evaluate the power circuit structure and SVM 
modulation of the system's 3-level T-type inverter. The results 
of the 3-phase voltage and stator current response, are shown in 
Figures 12-14. 

 

 
Fig. 11.  The structure of drive control of a PMSM motor fed by a 3-level T-type inverter for electric vehicle application. 



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Fig. 12.  Three phase voltage response. 

 
Fig. 13.  Three-phase voltage response. 

 
Fig. 14.  Three-phase current response. 

Through the simulation results of Figures 12-14, it is found 
that the output voltage response of the T-type inverter has the 
form of 3 levels, with amplitude of 350V. Phase voltage 
response is sinusoidal, and THD harmonic distortion is small 
(THD is 2.88, 1.52, and 2.16 for phase a, b, and c respectively). 

 

 
Fig. 15.  DC voltage response on 2 capacitors. 

The simulation results in Figure15, show that the DC 
voltage on the two capacitors is not significantly different with 
the largest difference ∆Vcmax = 3V (0.6%), proving that the 
balancing algorithm works effectively. 

B. Simulation Results of the Active Damping Controller  

The structure in the Plecs simulation of the active damping 
controller is shown in Figure 16. 

 

 
Fig. 16.  Active damping controller structure. 

To evaluate the effectiveness of the active damping control 
design for the permanent magnet synchronous motor drive 
system fed by a 3-level T-type inverter for electric cars, the 
following simulation scenario was considered: 

• At time t = 0s, the torque was put equal to 100Nm, after 2s 
it changed to -100Nm, and at t = 5s to 100Nm. 

• Simulation was held in the case with not a shock absorber. 
The setting torque is in the form of step (step) and the 
setting torque is in the form of oscillation generated by the 
recoil controller.  

 

  
Fig. 17.  Torque response to shock absorber oscillation. 

Through the simulation results in Figure 17, it was found 
that with the design of the anti-shock controller, the torque 
response set value for the transmission system was built in 
accordance with the physical properties. 

C. Simulation Results of the Torque Controller  

To evaluate the efficiency of the torque control design for 
the permanent magnet synchronous motor drive system fed by 
a 3-level T-type inverter for electric cars, the following 
simulation scenario was implemented: 

• Simulation of an electric car powertrain with a physical 
model using 3-level T-type inverter with an active damping 
kit. 

Vc 1

Vc 2

  
     Δ Vcmax



Engineering, Technology & Applied Science Research Vol. 12, No. 3, 2022, 8658-8666 8665 
 

www.etasr.com Giang et al.: Drive Control of a Permanent Magnet Synchronous Motor Fed by a Multi-level Inverter … 

 

• At time t = 0s, the torque was put equal to 100Nm, after 2s 
it changed to -100Nm, and at t = 5s to 100Nm. 

The stator current response (isq), torque, wheel speed, 
motor, triple voltage, and THD can be seen in Figures 18-20. 
Through the results of Figure 19, it is found that the real stator 
current response isq is close to the set value, but there is still 
over-correction at the time of transition (speed increase and 
decrease). 

 

 
Fig. 18.  Current response isq. 

 
Fig. 19.  Torque response. 

The applied torque response has the correct form for the 
system physics (small oscillations). This proves that the anti-
shock has been promoted. Besides, the torque response has the 
same form as the current isq, the real torque closely follows the 
set torque including the oscillation. However, the torque 
response still has over-correction at acceleration and 
deceleration times, 20% torque pulsation exists, as shown in 
Figure 20. In addition, it can be seen that the motor speed 
response still has a large adjustment at the transient time and 
the setting time is not fast. Through the simulation results in 
Figure 21, it is found that the output voltage response of the T-
Type inverter has a 3-level form when the powering PMSM 
motor drive system used for electric cars has a 3-level form, 
with a boundary degree 350V. Three-phase voltage response is 
sinusoidal, and THD is small (3.36, 1.92, and 2.88 for phase a, 
b, and c respectively). 

 

 
Fig. 20.  Motor speed response. 

 

 

Fig. 21.  Phase voltage response. 

V. CONCLUSION 

In this paper, the SVM spatial voltage vector modulation 
for a three-level T-type inverter was implemented and 
simulated, giving 3-phase voltage and stator current response 
with minor harmonic distortion. In addition, active damping 
and torque controllers were designed. The active damping 
controller has been promoted with the same torque response 
form as the stator current. The actual torque closely follows the 
set torque, including the oscillation. However, these controllers 
use a PI controller, so the torque, stator current, and speed 
responses still suffer from over-throttling, and the timing set is 
not fast. Therefore, the future research will focus on improving 
the above responses according to the requirements by using 
nonlinear control methods and combining state variable 
observers such as tires and road surfaces. 

 



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