dSPACE Implementation for a Fuzzy Logic Voltage Control using a Self-Excited Induction Generator and a Voltage Source Inverter

International Journal of Electrical and Computer Engineering (IJECE)
Vol. 7, No. 4, August 2017, pp. 1749~1759
ISSN: 2088-8708, DOI: 10.11591/ijece.v7i4.pp1749-1759  1749
Journal homepage: http://iaesjournal.com/online/index.php/IJECE
dSPACE Implementation for a Fuzzy Logic Voltage Control
using a Self-Excited Induction Generator and a Voltage Source
Inverter
Rachid El Akhrif, Ahmed Abbou, Mohamed Barara, Mohamed Akherraz, Youssef Majdoub
Mohammadia School of engineers, Mohammed V University, Rabat, Morocco
Article Info ABSTRACT
Article history:
Received Nov 9, 2016
Revised May 1, 2017
Accepted May 15, 2017
The present work describes the analysis of a control scheme for keeping the
RMS voltage output constant, the system is supplying by a self-excited
induction generator with variable speed and load. A comparison is examined
between simulation and experimental results using dSPACE board. The
results are provided to verify the effectiveness of this approach and gives
very high performance.
Keyword:
dSPACE Implementation
Fuzzy logic control.
Stand alone generator
Three-phase voltage source
inverter
Wind energy
Copyright © 2017 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
Rachid El Akhrif,
Departement of Electrical Engineering,
Mohammadia School of engineers,
Mohammed V University,
Avenue Ibn Sina, Rabat 10000, Morocco.
Email: elakhrif@gmail
1. INTRODUCTION
Energy production using renewable natural resources such as the wind has became an obligation in
recent years account their positive effects, especially in remote areas where the self-excited induction
generator (SEIG) is the most used[1].
The difficulty of the use of this kind of generator are the regulation and control of frequency and
voltage, and also the very bad power factor.
There is some parameters that influences the variation and the change of magnitude of voltage
produced by the generator and the frequency which are the rotor speed, the capacitance of excitation and the
change of load [2] to solve this problem, Several studies were dedicated [3] by using an advanced power
electronic converters, all the variable parameters (voltage and frequency) in the output of the SEIG are
converted into constant values.
This configuration uses different sources of direct current, which is considered an advantage for
applications with renewable energy sources since it allows generating different voltage levels at the output to
suit the use. However this still has limitations namely the imbalance of power between the generator versus
consumption.
The disadvantage of Three-phase source inverter (VSI) is the THD voltage (Total harmonic
distortion) [4] this value should not go over 5 per cent, according to the guidelines of the IEEE Standard
519-1992. Generally, there are many ways to generate a voltage output with low distortion. among these
methods are mentioned series and shunt compensation or hybrid series active power filters which can be used

 ISSN: 2088-8708
IJECE Vol. 7, No. 4, August 2017 : 1749 – 1759
1750
for the exclusion of harmonics when nonlinear loads [5] are coupled to a VSI [6], [7]. On the other hand, we
can use the optimum fixed LC compensator, which is considered to reduce the expected value of the total
THD, while it is highly preferable to keep a specific value of the power factor (PF) [8], [9]
Another constraint is added, it is the great variability of wind speed in the case of a wind power
plant and the change of solar radiation in the case of a photovoltaic plant this obviously affects the quality of
the energy which will cause major disruptions on the connected load. The VSI proposed may be the solution
to generate electricity of good quality despite these disturbances. This kind of converter has been much
recent interest in recent years and this is especially due to the large number of its advantages in practice.
The research that preceded this work, deals with many control techniques for generating the output
voltage with a good quality and without distortions, purely a sinusoidal waveforms. First, in [10] a classical
proportional-integral (PI) controller was investigated and secondly a PI-derivative (PID) controllers for the
single-phase inverter was treated in [11].
In this context, the present work concerns a stand-alone system based on a voltage source inverter
and feeding by a SEIG then we present a experimental study of the system performance.
The three phase full bridge diode rectifier is feeding by the voltage output of the SEIG and converts
the alternative power to a variable DC voltage. The effect of the wind is represented by the prime mover
which also leads to a variable RMS output voltage of the inverter.The objective is to regulate the output
voltage by using the closed-loop control scheme that why a fuzzy logic (FL) PI controller is considered to
obtain the appropriate modulation index (mi) used in sinusoidal pulse-width modulation (SPWM), and finally
we create the different permutation which can take the VSI. The output of the system contains a lot of
distortions and the THD is very haigh. So, we connect a passive filter before transferring power to the
loads [12].
The outline of this paper is done as the following: in first section we talk about the system
configuration and we propose the FL PI regulator used with the SPWM switching scheme. In the second
section, the simulation, the experimental results and the corresponding analysis are presented. Finally, in the
last section we end up this paper with a conclusion.
2. SYSTEM CONFIGURATION
In this section we present the stand-alone generator, which is designed for feeding a three phase
load, Figure 1 shows a schematic of our system.
The pargraphes below discuss mathematical equations that model the components of the system
considered namely the SEIG, AC/DC converter, the VSI and LC filter.
Figure 1. Configuration of the proposed system
2.1. SEIG Mathematical Model
Practically we consider the dynamic model of the SEIG. It can be calculated from the classical
model by modifying the conventional dynamic equations of an AC machine, this is presented in the works of
M. Basic [13]. The classic dynamic model SEIG expressed in the Laplace domain and suitable for use in
MATLAB Simulink is described in the stationary reference frame by the following 1 differential Order:

IJECE ISSN: 2088-8708 
dSPACE Implementation for a Fuzzy Logic Voltage Control using a Self-Excited …. (Rachid El Akhrif)
1751
)(
1 2
 

rmsrrrmrrrmssrsrm
rs
s KLuLiRLiLLiRLiL
LL
si 
)(
1 2
 

rmsrrrrmrrmsrmssr
rs
s KLuLiLLiRLiLiRL
LL
si 
(1)
)(
1
 

rssmrrsrrrssmrsssm
rs
r KLuLiRLiLLiLLiRL
LL
si 
)(
1
 

rssmrrrsrrssmrsssm
rs
r KLuLiLLiRLiLLiRL
LL
si 
where:
a. su and su
are the α-axis and β-axis component of the stator phase voltage space-vector;
b. si and si
are the α-axis and β-axis component of the stator phase current space-vector;
c. ri and ri
are the α-axis and β-axis component of the rotor phase current space-vector;
d. sR and rR are the stator and rotor resistance, respectively;
e. sL , rL and mL are the stator inductance, the rotor inductance and the magnetizing inductance,
respectively;
f. r is the rotor angular speed;
g.  is the total leakage factor;
h. rK and rK
are the α-axis and β-axis component of the voltage initially induced due to the residual
rotor flux linkage.
s r
 rr
+ -
Ri
si
su
mi
risR sL rL
rR
mL
CR
S
Figure 2. The Equivalent Schematic of the SEIG
The equation that describe the voltage in the DC link is:
0
0
1
dcdc
t
dc udti
C
u  
(2)
Figure 2 shows the conventional SEIG equivalent circuit described by (1).
An experimental test of the machine object of the study was has given magnetization curve which
represents The variation of magnetizing inductance (Lm) in function of phase voltage for induction
machine [14].
2.2. Three Phase AC/DC Converter
A rectifier is an electrical machine that transfers AC current, which has a sinusoidal waveforms, to
DC current, which flows in only one direction. The circuit is composed of 6 diodes: a group of three in the
top and a group of three in the bottom as shown in Figure 3.


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Figure 3. Three-phase AC/DC converter
2.3. Three-phase Source Voltage Inverter
A power inverter, is an electronic device that converts DC current toAC current. The VSI has three-
switching states as described in Table 1, obtained by different permutations of the six switches Sa, Sb, Sc,
Sa', Sb' and Sc'.
For supplying the power to the loads. We use a three voltage source inverter which is represented in
the Figure 4, It is used to generate and keep the alternating output voltage at a fixed value (220 Vrms) , with
50 Hz frequency and with differents types of loads in isolated power generation systems. We note that the
outputs (voltage and current) depends on the scheme of the control permutations state outputs.
Figure 4. Three-phase DC/AC inverter
Table 1. The switching statesof the inverter
3. PROPOSED SCHEME OF CONTROL: PI REGULATOR CONNECTED WITH THE SPWM
PERMUTATIONS
The main of this section is to define the scheme of control employed in the three-phase inverter in
the stand-alone power generation system, so we use a Fuzzy logic Proportional-Integral regulator wich
controls a SPWM switching. The Figure 4 represents the proposed configuration to regulate and keep the
output voltage at 220 Vrms in different uses (change of loads) with a 50 Hz constant frequency, [15].
Figure 5 illustrates the Simulink model of the proposed controller. It's composed from a 3-level
PWM inverter with sinusoidal modulation, then we compare the control signal at a desired output frequency
with multilevel triangular waveforms [16-17].
In this study, we develope two different-type fuzzy logic voltage controller: Mamdani-type and
Sugeno. Both of them have the same number of inputs (the error (E) and change of error (dE)), outpus and
fuzzy rules.
Sa Sb Sc Sa' Sb' Sc' Uab Ubc Uca
1 0 1 0 1 0 0 0 0
0 1 0 1 1 0 0 -Udc Udc
1 0 0 1 1 0 Udc -Udc 0
0 1 1 0 1 0 -Udc 0 Udc
1 0 1 0 0 1 0 Udc -Udc
0 1 0 1 0 1 0 0 0
1 0 0 1 0 1 Udc 0 -Udc
0 1 1 0 0 1 -Udc Udc 0

IJECE ISSN: 2088-8708 
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Figure 5. Proposed scheme of control: PI controller connected with SPWM
In Table 2 we give the fuzzy rules bases of the Sugeno-Type FL controller and we use the following
fuzzy sets: ZR zero, PS positive small, PM positive medium and PL positive large, NL negative large, NM
negative medium, NS negative small. For example, according to the combinations of Table 1 that the first
rule is:IF E is NM and dE is NM then du is NL. The linguistic rules are in the form of IF-THEN rules and
take form: IF (E is A and dE is B) THEN (du is C), where A, B, C are fuzzy subsets for the universe of
discourse of the error, change of error and change of the output. For example, B can signify the subset
POSITIVE LARGE of the change of error etc.
Table 2. Fuzzy Rules Bases
4. PERFORMANCE ANALYSIS OF THE SIMULATION RESULTS
To test the success of the proposed study, the stand alone generation system is experienced when the
different kind of constraint: the variation in the wind speed; and step change in the load.
The appendix gives different conditions taken in the simulation.
4.1. Response of the Sysem under the Variation of the Wind Speed
To start excitation we use a capacitors bank of 50μF, We carried out the simulations of the
following operating regime: we change the wind speed respectively from 1000 rpm, 1100 rpm and 1200 rpm
at 0, 5s and 8 s, Figure 6, show the output variation of the RMS voltage, as we can see the terminal voltage
were notably maintained constant at 220 Vrms, despite the change in rotor speed of the SEIG.

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Figure 6. Output voltage (Vrms) under rotor speed change
4.2. Response of the Sysem under the Variation of the Load
The result obtained from running simulation are shown in Figure 7, the performance of the system is
tested under load variation (a resistive load) with a rotor speed variation of 1200 rpm. Then we keep the load
at constant value and we change the set.
As we can see the output voltage while the variation of the resistive load during the time from 0 s to
10 s. The simulation results show that the output voltage reach a steady state after 5 s onwards. Initially, the
resistive load of 500 W is connected to the inverter. This load is then changed to 1 KW at 8 s. So we can
confirm that the proposed controller is working adequately to keep the system output voltage magnitude at
220 Vrms with minimal ondulations.
Figure 7. Output voltage (Vrms) under load change from 500 W to 1 KW
4.3. Set Change under Load Condition
In this test we keep the load at 500 W, then we change the reference value of Vrms at 110 V, 220 V,
140 V and 90 V. Figure 8 shows the output voltage (Vrms) when the set change
Again we confirm that the proposed PI controller shows its strength to control the magnitude of the
output voltage of standalone generator to the desired value in the right conditions of rapidity and accuracy.

IJECE ISSN: 2088-8708 
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Figure 8. The output voltage (Vrms) when the set change
5. EXPERIMENTAL RESULTS
In order to test the results achieved in the previons section a dSPACE board with TMS320F240 DSP
is used (Figure 9). The dSPACE works on Matlab/Simulink platform.
To view the signals, we use Control Disc software associated to dSPACE card. The protocol that
provides communication between the computer and the card is a model DS1104.
Simulink Matlab developed and activated by a GUI ControlDesk. This software allows us to see the
different variables of the system to be controlled in real time.
It should be noted that the ControlDesk, offers the possibility to save the variables of the system
.mat formats, allowing us to do post processing on these variables.
The induction generator used in this experimental investigation is a three phases, 3KW, 4 poles
squirrel cage, 7.2A/12.5A, 220V/380V, 50HZ and 1400rpm.
A DC motor is used to drive the SEIG. Its characteristics are: 3KW, 120V, 25A and 1500rpm.
In addition, all of the measured quantities (current and voltage) were collected using LEM sensors
(LEM HX15-P, LEM LV25-P), and both of them are then transformed to be a voltage ranging from 0 to ±10
volts which will be the input of A/D respectively.
The SEIG experimental setup is presented in Figure 10:
Figure 9. The experimental test setup Figure 10. Photograph of the experimental
setup
5.1. Effect of the wind Speed
In order to verify the effect of the wind we apply the rotor speed such as illustrated in Figure 11.
The Figures 12-14 shows the obtained results, it can be observed that the proposed Fuzzy logic (FL) PI
controller maintain the Vrms at 110 Vrms and the output voltage and current waveforms change according to
the speed profile.

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Figure 11. The speed of rotor variation Figure 12. The RMS value of the output voltage
Figure 13. The generated voltage of SEIG Figure 14. The generated current of SEIG
5.2. Step Change in the Set
The induction generator rotates at a 1150rpm (Figure 15), then we change reference of Vrms
according to the following values: 80 V and 110 V at 0 s and 10.
The Figure 16 shows the measured Vrms in the output of the VSI and in Figures 17 and 18 we
observe the generated voltage and current, as we can see the Vrms signal follows the set and the presented
control gives the best results in terms of speed and accuracy.
Figure 15. The speed of rotor variation Figure 16. The output voltage under change of the
set

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Figure 17. The generated Voltage of SEIG Figure 18. The generated current of SEIG
5.3. Effect of the Load Change
To verify the effect of load variation on the proposed control, we adopt functioning no load and then
applying a resistive load 500 W at 3 s. As can be seen, the output voltage decreases (Figure 19-21) and the
output current of the load when the value of load increases, while the Vrms saved at a fixed value of around
220 V regardless of perturbation of source and application of loads.
Figure 19. The Vrms output voltage during load
variation
Figure 20. The generated Voltage of SEIG during
load variation
Figure 21. The generated current of SEIG during load variation
6. CONCLUSION
In This study we are investigating a three-phase system powered by three-phase voltage inverter
which uses as an energy source asynchronous generator running in standalone mode, the control system
proposed is based on a simple PI controller. In this issue, we evaluated the performance of the voltage

 ISSN: 2088-8708
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regulation system under several constraints, so we analyse the effect of the variation of the wind speed
represented here by the change of the rotor speed and also the effect of the variation the AC load. The graphs
obtained in the simulation confirms that the controller shows its robustness and strenght characteristics in
keeping the output voltage at the desired value to feed the power for a variety of loads. The dSPACE
experimental results was presented to confirm the simulation results obtained above. Our next study is to
compare the proposed controller performance with a fuzzy logic controller under the same experimental
conditions.
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APPENDIX
Table 3. Induction Generator Parameters
Rated power 3KW
Voltage 380V Y
Frequency 50 Hz
Pair pole 2
Rated speed 1400 rpm
Stator resistance 1.7 Ω
Rotor resistance 2.68 Ω
Inductance stator 229 mH
Inductance rotor 229 mH
Mutual inductance 217 mH
Moment of lnertia 0.046 kg.m2
Filter inductance 33,9 mH
Filter capacitance 310 mF

dSPACE Implementation for a Fuzzy Logic Voltage Control using a Self-Excited Induction Generator and a Voltage Source Inverter

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