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International Journal of Power Electronics and Drive System (IJPEDS)
Vol. 9, No. 2, June 2018, pp. 641~647
ISSN: 2088-8694, DOI: 10.11591/ijpeds.v9.i2.pp641-647  641
Journal homepage: http://iaescore.com/journals/index.php/IJPEDS
Comparison of Different Control Techniques for Interleaved
DC-DC Converter
M. Kavitha1
, V.Sivachidambaranathan2
Department of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology
Article Info ABSTRACT
Article history:
Received Oct 23, 2017
Revised Jan 18, 2018
Accepted Feb 2, 2018
Interleaved DC-DC converter with coupled inductor is used in standalone
Photovoltaic, battery charger/discharger applications. The main issue of the
Interleaved DC-DC converter is that, it does not provide constant output
voltage for a change in input voltage. Therefore, the converter efficiency is
reduced. Hence to overcome this drawback, proper controller has to be used.
In this paper, different control techniques such as PI, PID and Fuzzy logic
controller are used. The simulation was carried out using
MATLAB/Simulink and the results were compared. Fuzzy logic controller
provides better regulated output voltage with less settling time.
Keyword:
Coupled inductor
DC-DC converter
Fuzzy logic controller
Interleaved
PI,PID Copyright © 2018 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
M.Kavitha,
Department of Electrical and Electronics Engineering,
Sathyabama Institute of Science and Technology,
Chennai-600119, Tamil Nadu,India.
Email: kaveem@gmail.com
1. INTRODUCTION
In renewable application such as Photovoltaic, ripple free output is required, therefore interleaving
technique is used [1]. In intereleaved DC-DC converter, the current is shared and hence current stress of the
switch is reduced [2]. By employing coupled inductor, the power handling capacity of the converter can be
improved [3]-[4]. The DC-DC converter which is used in industrial application suffers input voltage
variation. Thus different control techniques are used to provide proper output for variation in input voltage.
PI and PID controllers can produce better output for linear systems [5]-[6]. But for non linear systems, FLC
can be used [7]. Fuzzy Logic Controller (FLC) is used in many Engineering applications such as automobile,
elevators, air conditioners, home appliances and in DC-DC converters [8]-[9]. Compared to other linear
controllers, FLC presents better performance. Fuzzy logic is a heuristic approach method, therefore used for
DC-DC converter which undergoes supply voltage disturbances and load disturbances. In [10], different
control methods such as voltage control, current control, sliding mode control and Fuzzy logic control were
compared. Different DC-DC converter control techniques were discussed in [11] and their advantage and
disadvantages were also stated.
In most of the researches, the interleaved boost converter either uses PI or PID controller. In this
paper different control techniques such as PI, PID and Fuzzy Logic Controller are used for Interleaved DC-
DC converter with coupled inductor which undergoes input voltage variation. Section 2 describes the
operation of the interleaved DC-DC converter. Section 3 describes the different control techniques.
Simulation results and comparison of all three control techniques were discussed in Section 4 and in Section
5.
 ISSN: 2088-8694
Int J Pow Elec & Dri Syst, Vol. 9, No. 2, June 2018 : 641 – 647
642
2. INTERLEAVED DC-DC CONVERTER WITH COUPLED INDUCTOR
The interleaved DC-DC converter with coupled inductor is shown in Figure 1. The purpose of
coupled inductor is to reduce the input current ripples and reduces the size and weight of the converter as the
two inductors are magnetically coupled in single core. There are four modes of operation. In mode 1, the
switch S1 and S2 are ON. The two inductor currents linearly increase. In mode 2, the switch S1 is ON and S2
is OFF. The current through inductor L1 increases and L2 decreases. The voltage across output capacitor C3 is
Vc3=Vcb1+Vca1. Mode 3 is same as mode 1. In mode 4, the switch S2 is ON, therefore current through inductor
L2 increases. The voltage across output capacitor C4 is Vc4=Vcb1+Vca1.
Figure 1. Interleaved DC-DC Converter with Coupled Inductor
3. CONTROL TECHNIQUES
The output voltage of the converter is maintained to a particular value by using different control
techniques.
3.1. PI Controller
The output of the system is regulated by Proportional-Integral controller. In this controller, the
output of the system is compared with the reference value and the resulting error signal is given to PI
controller. Using Ziegler-Nichols method, the value of proportional and integral gain constant were
determined. Future error of the system cannot be predicted using PI controller, hence the rise time of the
system cannot be decreased and oscillation cannot be neglected.
)
(
)
(
)
( s
E
s
K
K
s
V i
p
o 

(1)
3.2. PID Controller
The derivative gain constant is included along with PI controller to eliminate or to reduce the
overshoot. The derivative constant also reduces the oscillation of the output.
)
(
)
(
)
( s
E
s
K
sK
K
s
V i
d
p
o 


(2)
3.3 Fuzzy Logic Controller
Fuzzy logic controller requires linguistic rules. Detailed knowledge of the process to be controlled is required
for framing the rules. Figure 2 shows the Fuzzy control block.FLC has four major blocks.
Fuzzification
The crisp inputs are converted into fuzzy inputs. The crisp inputs are the real inputs such as voltage, current,
temperature, pressure measured by sensors.
Int J Pow Elec & Dri Syst ISSN: 2088-8694 
Comparison of Different Control Techniques for Interleaved DC-DC converter (M. Kavitha)
643
Knowledge base
It is a combination of rule base and database. Rule base uses set of IF..THEN rules. Database describes the
membership functions that are used in fuzzy rules.
Interference Engine
This converts fuzzy input to fuzzy output by using set of IF.THEN rules.
Defuzzification
This block converts the fuzzy output to crisp output.
Figure 2. Fuzzy Control Block
4. SIMULATION RESULTS
The Interleaved DC-DC converter with coupled inductor is simulated using MATLAB software
under open loop and closed loop. In closed loop, different control techniques such as PI, PID and FLC were
used and the results are compared.
4.1. Open Loop
The Interleaved DC-DC converter coupled with inductor is subjected to input voltage variation
under open loop condition. The component specification used in simulation is as follows: Blocking capacitor
Ca1= Ca2= 10F, output capacitor C3= C4= 250F, Switching frequency fs=40kHz. The input and the
corresponding output voltage waveform is shown in Figure 3. Figure 4 shows the corresponding output
power variation of the converter under open loop condition. Thus, when input voltage is 25V, the output of
the converter is 400V and output power is 400W. At 0.3sec when the input voltage is incremented by 5V, the
output voltage increases to 480V and the corresponding output power increases to 480W. Thus, under open
loop condition, the output voltage of the converter is not regulated.
Figure 3. Input and Output Voltage Waveform of the
Converter Under Open Loop
Figure 4. Waveform of Output Power of Converter
under Open Loop
4.2. PI Controller
The output voltage of the converter is regulated by proportional integral controller. In this controller,
the output voltage of the converter is compared with the set value and the resulting error signal is given to PI
controller. Using Ziegler-Nichols method, the value of proportional gain constant and integral gain constant
is obtained as 0.5 and 9 respectively. This controlled signal is given to produce pulse for the converter
switch.Figure 5 shows the simulation circuit diagram of Interleaved Converter using PI controller. Figure 6
represents the input and output voltage waveform of the converter when PI controller is used. Figure 7
represents output power of the converter.It was found that using PI controller, the output voltage is regulated
 ISSN: 2088-8694
Int J Pow Elec & Dri Syst, Vol. 9, No. 2, June 2018 : 641 – 647
644
but with a overshoot of 32V and output power with a overshoot of 60W. Using PI controller the settling time
was found to be ts=0.62sec for which the output reaches steady state.
Figure 5. Simulation Circuit Diagram of Closed Loop Interleaved Converter using PI Controller.
Figure 6. Input and Output Voltage Waveform of
the Converter using PI Controller
Figure 7. Output Power Waveform of the Converter
using PI Controller
4.3. PID controller
The response signal of the converter is compared with set value and the error signal obtained is
given to PID controller. The controller generates control signal which is used to produce the pulses to the
switches. Using Ziegler-Nichols method, Kp, Ki and Kd value are obtained as 0.5, 9 and 0.02 respectively.
Figure 8 shows the PID controller and PWM block. Figure 9 shows the input and output voltage waveform of
the converter. Figure 10 shows the output power waveform of the converter.At 0.3sec, when the input voltage
is varied from 25V to 30V , it was found that using PID controller, the output voltage is regulated but with a
overshoot of 20V and the output power with a overshoot of 40W. The settling time to reach steady state was
found to be 0.6sec.
Figure 8. PID and PWM Block
Int J Pow Elec & Dri Syst ISSN: 2088-8694 
Comparison of Different Control Techniques for Interleaved DC-DC converter (M. Kavitha)
645
Figure 9. Input and Output Voltage Waveform of the
Converter using PID Controller
Figure 10. Output Power Waveform of the
Converter using PID Controller
4.4. Fuzzy Logic Controller
For framing the linguistic rules, proper knowledge of the converter duty cycle is required. The
following conditions have to be checked for fuzzy logic controller
1. If the response of the converter deviate more from the set value, then the duty cycle should be increased
to bring the response to set value.
2. If the response is towards the set value, then duty cycle is slightly adjusted.
3. If the response is near to set value, then duty cycle is made constant
4. If the response is above the set value, then the duty cycle is made negative.
In fuzzification, two inputs namely error and change in error is fed. Error is the comparison of
output voltage of the converter and set value.
)
(
)
( t
V
V
t
e o
ref 
 (3)
change in error,
)
1
(
)
(
)
( 

 t
e
t
e
t
ce (4)
Therefore, the change in error is the difference in present and past error. The error and change in
error are represented as membership function in fuzzification. The membership functions used for input and
output are NB, NS, ZE, PS, PB where NB=Negative Big, NS=Negative Small, ZE=Zero Equal, PS=Positive
Small, PB=Positive Big.
Using membership function, certain rules are framed to get the output which decides the duty cycle
of the switch and it is given in Table.1
Table 1. Fuzzy Control Rules
CE / E NB NS ZE PS PB
NB NB NB NB NS ZE
NS NB NB NS ZE PS
ZE NB NS ZE PB PB
PS NS ZE PB PB PB
PB ZE PS PB PB PB
The Fuzzy logic control block is represented in Figure 11. Figure 12 shows the inputs and output of
the controller which has proper membership function. The input and output voltage waveform of the
converter is represented in Figure 13. The output power waveform of the converter is shown in Figure 14. It
was found that using FLC, the output voltage and output power are regulated without any overshoot even
when there is a input voltage disturbance. The settling time to reach the steady state is 0.04sec.
 ISSN: 2088-8694
Int J Pow Elec & Dri Syst, Vol. 9, No. 2, June 2018 : 641 – 647
646
Figure 11. Fuzzy Logic Control Block Figure 12. Inputs and Output of FLC
Figure 13. Input and Output Voltage Waveform of
the Converter using FLC
Figure 14. Output Power of the Converter using FLC
5. CONCLUSION
The interleaved DC-DC converter with coupled inductor is simulated under open and closed loop. In
closed loop, the output voltage of the interleaved DC-DC converter with coupled inductor is regulated by
different control techniques such as PI, PID and Fuzzy Logic when the input voltage is subjected to
disturbances. With PI and PID controller, the output voltage is regulated but with a overshoot of 32V and
20V respectively. Using PI and PID controller the settling time of response is found to be 0.62 sec and 0.6sec
respectively. Fuzzy logic controller gives better output without any overshoot and with less settling time of
0.04sec.
REFERENCES
[1] Ching-Tsai Pan,Chen-Feng,Chuang,Chia-Chi Chu., “A novel transformer-less adaptable voltage quadrupler DC
converter with low switch voltage stress,” IEEE Trans. Power Electron., vol. 29, no. 9, pp. 4787–4796, Sep.2014.
[2] M.Kavitha, V.Sivachidambaranathan, “Performance Analysis of Transformer-Less Two Phase Interleaved High
Gain DC Converter using MPPT Algorithm,” Indian Journal of Science and Technology,Vol.8(15),July 2015
[3] M.Kavitha, Dr.V.Sivachidambaranathan, “PV based high voltage gain Quadratic DC- DC Converter integrated with
coupled inductor,” International Conference on Computation of Power, Energy Information and Communication
(ICCPEIC’16),pp.607-612,April 2016.
[4] Sivachidambaranathan.V, “High Frequency Isolated Series Parallel Resonant Converter”, Indian Journal of Science
and Technology, Vol .18(15), pp 1-6,July 2015.
[5] Rohitash Singh,Saurabh Kr.Bajpai,Harinder Singh Sandhu, “Comparative Study of PWM Control and PI Control
of Induction motor,” Bulletin of Electrical and Engineering and Infomatics,Vol.4,No.1,March 2015,pp.53-58.
[6] Vanitha D,M.Rathinakumar, “Fractional Order PID Controlled PV Buck Boost Converter with Coupled
Inductor,” International Journal of Power Electronics and Drive System, Vol.8, No.3, September 2017,pp.1401-
1407.
[7] R.Balamurugan, R.Nithya,”FC/PV Fed SAF with Fuzzy Logic Control for Power Quality Enhancement,”
International Journal of Power Electronics and Drive System, Vol.5, No.4, April 2015,pp.470-476.
[8] Meryem Oudda, Abdeldjebar Hazzab, “Photovoltaic System with SEPIC Converter Controlled by the Fuzzy Logic,”
International Journal of Power Electronics and Drive System, Vol.7, No.4, Dec 2016, pp.1283-1293.
Int J Pow Elec & Dri Syst ISSN: 2088-8694 
Comparison of Different Control Techniques for Interleaved DC-DC converter (M. Kavitha)
647
[9] B V Rajanna, Ganta Joga Rao,S.K Shrivstava, “Defining Control Strategies for Micro Grids Islanded operation
with Maximum Power Point Tracking using a Fuzzy Logic Control Scheme,” International Journal of Power
Electronics and Drive System, Vol.7, No.3, September 2016,pp.723-733.
[10] N. S K Sastry, Dr. S. Pattnaik" "Reduction of Ripple in a single phase buck converter by Fuzzy logic control",
International Journal of Engineering Research and Applications (UERA) , May-Jun 2012,Vol. 2(3), pp.2202-2204.
[11] S.Verma, S.K Singh, "Overview of control Techniques for DC-DC converters", Research Journal of Engineering
Sciences, August 2013, Vol.2(8), pp.18-21.
BIOGRAPHIES OF AUTHORS
M.Kavitha has received her B.E degree in Electrical and Electronics Engineering from
Bharathiyar University, Tamilnadu, India in 2000 and M.E degree in Power Systems
Engineering from Anna University, Tamilnadu, India in 2012. She is pursuing her Ph.D under
the faculty of Electrical and Electronics Engineering at Sathyabama Institute of Science and
Technology from 2014. Her research interest includes Renewable Energy sources, Energy
storage system, Fuzzy logic controller, Artificial Neural network and Power Electronic
Converters.
Dr.V.Sivachidambaranathan received his M.E. degree in Power Electronics and Industrial Drives
from Sathyabama Institute of Science and Technology, Chennai in 2005 and obtained his Ph.D.
degree in the Faculty of Electrical Engineering from Sathyabama University, Chennai in the year
2013. He is currently working as Associate Prof. and Head of the Department of Electrical and
Electronics Engineering, Head - Internal Exam Cell, at Sathyabama Institute of Science and
Technology, Chennai. His research interest includes power converter, drives and control and
renewable energy sources.

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Comparison of Different Control Techniques for Interleaved DC-DC Converter

  • 1. International Journal of Power Electronics and Drive System (IJPEDS) Vol. 9, No. 2, June 2018, pp. 641~647 ISSN: 2088-8694, DOI: 10.11591/ijpeds.v9.i2.pp641-647  641 Journal homepage: http://iaescore.com/journals/index.php/IJPEDS Comparison of Different Control Techniques for Interleaved DC-DC Converter M. Kavitha1 , V.Sivachidambaranathan2 Department of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology Article Info ABSTRACT Article history: Received Oct 23, 2017 Revised Jan 18, 2018 Accepted Feb 2, 2018 Interleaved DC-DC converter with coupled inductor is used in standalone Photovoltaic, battery charger/discharger applications. The main issue of the Interleaved DC-DC converter is that, it does not provide constant output voltage for a change in input voltage. Therefore, the converter efficiency is reduced. Hence to overcome this drawback, proper controller has to be used. In this paper, different control techniques such as PI, PID and Fuzzy logic controller are used. The simulation was carried out using MATLAB/Simulink and the results were compared. Fuzzy logic controller provides better regulated output voltage with less settling time. Keyword: Coupled inductor DC-DC converter Fuzzy logic controller Interleaved PI,PID Copyright © 2018 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: M.Kavitha, Department of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology, Chennai-600119, Tamil Nadu,India. Email: kaveem@gmail.com 1. INTRODUCTION In renewable application such as Photovoltaic, ripple free output is required, therefore interleaving technique is used [1]. In intereleaved DC-DC converter, the current is shared and hence current stress of the switch is reduced [2]. By employing coupled inductor, the power handling capacity of the converter can be improved [3]-[4]. The DC-DC converter which is used in industrial application suffers input voltage variation. Thus different control techniques are used to provide proper output for variation in input voltage. PI and PID controllers can produce better output for linear systems [5]-[6]. But for non linear systems, FLC can be used [7]. Fuzzy Logic Controller (FLC) is used in many Engineering applications such as automobile, elevators, air conditioners, home appliances and in DC-DC converters [8]-[9]. Compared to other linear controllers, FLC presents better performance. Fuzzy logic is a heuristic approach method, therefore used for DC-DC converter which undergoes supply voltage disturbances and load disturbances. In [10], different control methods such as voltage control, current control, sliding mode control and Fuzzy logic control were compared. Different DC-DC converter control techniques were discussed in [11] and their advantage and disadvantages were also stated. In most of the researches, the interleaved boost converter either uses PI or PID controller. In this paper different control techniques such as PI, PID and Fuzzy Logic Controller are used for Interleaved DC- DC converter with coupled inductor which undergoes input voltage variation. Section 2 describes the operation of the interleaved DC-DC converter. Section 3 describes the different control techniques. Simulation results and comparison of all three control techniques were discussed in Section 4 and in Section 5.
  • 2.  ISSN: 2088-8694 Int J Pow Elec & Dri Syst, Vol. 9, No. 2, June 2018 : 641 – 647 642 2. INTERLEAVED DC-DC CONVERTER WITH COUPLED INDUCTOR The interleaved DC-DC converter with coupled inductor is shown in Figure 1. The purpose of coupled inductor is to reduce the input current ripples and reduces the size and weight of the converter as the two inductors are magnetically coupled in single core. There are four modes of operation. In mode 1, the switch S1 and S2 are ON. The two inductor currents linearly increase. In mode 2, the switch S1 is ON and S2 is OFF. The current through inductor L1 increases and L2 decreases. The voltage across output capacitor C3 is Vc3=Vcb1+Vca1. Mode 3 is same as mode 1. In mode 4, the switch S2 is ON, therefore current through inductor L2 increases. The voltage across output capacitor C4 is Vc4=Vcb1+Vca1. Figure 1. Interleaved DC-DC Converter with Coupled Inductor 3. CONTROL TECHNIQUES The output voltage of the converter is maintained to a particular value by using different control techniques. 3.1. PI Controller The output of the system is regulated by Proportional-Integral controller. In this controller, the output of the system is compared with the reference value and the resulting error signal is given to PI controller. Using Ziegler-Nichols method, the value of proportional and integral gain constant were determined. Future error of the system cannot be predicted using PI controller, hence the rise time of the system cannot be decreased and oscillation cannot be neglected. ) ( ) ( ) ( s E s K K s V i p o   (1) 3.2. PID Controller The derivative gain constant is included along with PI controller to eliminate or to reduce the overshoot. The derivative constant also reduces the oscillation of the output. ) ( ) ( ) ( s E s K sK K s V i d p o    (2) 3.3 Fuzzy Logic Controller Fuzzy logic controller requires linguistic rules. Detailed knowledge of the process to be controlled is required for framing the rules. Figure 2 shows the Fuzzy control block.FLC has four major blocks. Fuzzification The crisp inputs are converted into fuzzy inputs. The crisp inputs are the real inputs such as voltage, current, temperature, pressure measured by sensors.
  • 3. Int J Pow Elec & Dri Syst ISSN: 2088-8694  Comparison of Different Control Techniques for Interleaved DC-DC converter (M. Kavitha) 643 Knowledge base It is a combination of rule base and database. Rule base uses set of IF..THEN rules. Database describes the membership functions that are used in fuzzy rules. Interference Engine This converts fuzzy input to fuzzy output by using set of IF.THEN rules. Defuzzification This block converts the fuzzy output to crisp output. Figure 2. Fuzzy Control Block 4. SIMULATION RESULTS The Interleaved DC-DC converter with coupled inductor is simulated using MATLAB software under open loop and closed loop. In closed loop, different control techniques such as PI, PID and FLC were used and the results are compared. 4.1. Open Loop The Interleaved DC-DC converter coupled with inductor is subjected to input voltage variation under open loop condition. The component specification used in simulation is as follows: Blocking capacitor Ca1= Ca2= 10F, output capacitor C3= C4= 250F, Switching frequency fs=40kHz. The input and the corresponding output voltage waveform is shown in Figure 3. Figure 4 shows the corresponding output power variation of the converter under open loop condition. Thus, when input voltage is 25V, the output of the converter is 400V and output power is 400W. At 0.3sec when the input voltage is incremented by 5V, the output voltage increases to 480V and the corresponding output power increases to 480W. Thus, under open loop condition, the output voltage of the converter is not regulated. Figure 3. Input and Output Voltage Waveform of the Converter Under Open Loop Figure 4. Waveform of Output Power of Converter under Open Loop 4.2. PI Controller The output voltage of the converter is regulated by proportional integral controller. In this controller, the output voltage of the converter is compared with the set value and the resulting error signal is given to PI controller. Using Ziegler-Nichols method, the value of proportional gain constant and integral gain constant is obtained as 0.5 and 9 respectively. This controlled signal is given to produce pulse for the converter switch.Figure 5 shows the simulation circuit diagram of Interleaved Converter using PI controller. Figure 6 represents the input and output voltage waveform of the converter when PI controller is used. Figure 7 represents output power of the converter.It was found that using PI controller, the output voltage is regulated
  • 4.  ISSN: 2088-8694 Int J Pow Elec & Dri Syst, Vol. 9, No. 2, June 2018 : 641 – 647 644 but with a overshoot of 32V and output power with a overshoot of 60W. Using PI controller the settling time was found to be ts=0.62sec for which the output reaches steady state. Figure 5. Simulation Circuit Diagram of Closed Loop Interleaved Converter using PI Controller. Figure 6. Input and Output Voltage Waveform of the Converter using PI Controller Figure 7. Output Power Waveform of the Converter using PI Controller 4.3. PID controller The response signal of the converter is compared with set value and the error signal obtained is given to PID controller. The controller generates control signal which is used to produce the pulses to the switches. Using Ziegler-Nichols method, Kp, Ki and Kd value are obtained as 0.5, 9 and 0.02 respectively. Figure 8 shows the PID controller and PWM block. Figure 9 shows the input and output voltage waveform of the converter. Figure 10 shows the output power waveform of the converter.At 0.3sec, when the input voltage is varied from 25V to 30V , it was found that using PID controller, the output voltage is regulated but with a overshoot of 20V and the output power with a overshoot of 40W. The settling time to reach steady state was found to be 0.6sec. Figure 8. PID and PWM Block
  • 5. Int J Pow Elec & Dri Syst ISSN: 2088-8694  Comparison of Different Control Techniques for Interleaved DC-DC converter (M. Kavitha) 645 Figure 9. Input and Output Voltage Waveform of the Converter using PID Controller Figure 10. Output Power Waveform of the Converter using PID Controller 4.4. Fuzzy Logic Controller For framing the linguistic rules, proper knowledge of the converter duty cycle is required. The following conditions have to be checked for fuzzy logic controller 1. If the response of the converter deviate more from the set value, then the duty cycle should be increased to bring the response to set value. 2. If the response is towards the set value, then duty cycle is slightly adjusted. 3. If the response is near to set value, then duty cycle is made constant 4. If the response is above the set value, then the duty cycle is made negative. In fuzzification, two inputs namely error and change in error is fed. Error is the comparison of output voltage of the converter and set value. ) ( ) ( t V V t e o ref   (3) change in error, ) 1 ( ) ( ) (    t e t e t ce (4) Therefore, the change in error is the difference in present and past error. The error and change in error are represented as membership function in fuzzification. The membership functions used for input and output are NB, NS, ZE, PS, PB where NB=Negative Big, NS=Negative Small, ZE=Zero Equal, PS=Positive Small, PB=Positive Big. Using membership function, certain rules are framed to get the output which decides the duty cycle of the switch and it is given in Table.1 Table 1. Fuzzy Control Rules CE / E NB NS ZE PS PB NB NB NB NB NS ZE NS NB NB NS ZE PS ZE NB NS ZE PB PB PS NS ZE PB PB PB PB ZE PS PB PB PB The Fuzzy logic control block is represented in Figure 11. Figure 12 shows the inputs and output of the controller which has proper membership function. The input and output voltage waveform of the converter is represented in Figure 13. The output power waveform of the converter is shown in Figure 14. It was found that using FLC, the output voltage and output power are regulated without any overshoot even when there is a input voltage disturbance. The settling time to reach the steady state is 0.04sec.
  • 6.  ISSN: 2088-8694 Int J Pow Elec & Dri Syst, Vol. 9, No. 2, June 2018 : 641 – 647 646 Figure 11. Fuzzy Logic Control Block Figure 12. Inputs and Output of FLC Figure 13. Input and Output Voltage Waveform of the Converter using FLC Figure 14. Output Power of the Converter using FLC 5. CONCLUSION The interleaved DC-DC converter with coupled inductor is simulated under open and closed loop. In closed loop, the output voltage of the interleaved DC-DC converter with coupled inductor is regulated by different control techniques such as PI, PID and Fuzzy Logic when the input voltage is subjected to disturbances. With PI and PID controller, the output voltage is regulated but with a overshoot of 32V and 20V respectively. Using PI and PID controller the settling time of response is found to be 0.62 sec and 0.6sec respectively. Fuzzy logic controller gives better output without any overshoot and with less settling time of 0.04sec. REFERENCES [1] Ching-Tsai Pan,Chen-Feng,Chuang,Chia-Chi Chu., “A novel transformer-less adaptable voltage quadrupler DC converter with low switch voltage stress,” IEEE Trans. Power Electron., vol. 29, no. 9, pp. 4787–4796, Sep.2014. [2] M.Kavitha, V.Sivachidambaranathan, “Performance Analysis of Transformer-Less Two Phase Interleaved High Gain DC Converter using MPPT Algorithm,” Indian Journal of Science and Technology,Vol.8(15),July 2015 [3] M.Kavitha, Dr.V.Sivachidambaranathan, “PV based high voltage gain Quadratic DC- DC Converter integrated with coupled inductor,” International Conference on Computation of Power, Energy Information and Communication (ICCPEIC’16),pp.607-612,April 2016. [4] Sivachidambaranathan.V, “High Frequency Isolated Series Parallel Resonant Converter”, Indian Journal of Science and Technology, Vol .18(15), pp 1-6,July 2015. [5] Rohitash Singh,Saurabh Kr.Bajpai,Harinder Singh Sandhu, “Comparative Study of PWM Control and PI Control of Induction motor,” Bulletin of Electrical and Engineering and Infomatics,Vol.4,No.1,March 2015,pp.53-58. [6] Vanitha D,M.Rathinakumar, “Fractional Order PID Controlled PV Buck Boost Converter with Coupled Inductor,” International Journal of Power Electronics and Drive System, Vol.8, No.3, September 2017,pp.1401- 1407. [7] R.Balamurugan, R.Nithya,”FC/PV Fed SAF with Fuzzy Logic Control for Power Quality Enhancement,” International Journal of Power Electronics and Drive System, Vol.5, No.4, April 2015,pp.470-476. [8] Meryem Oudda, Abdeldjebar Hazzab, “Photovoltaic System with SEPIC Converter Controlled by the Fuzzy Logic,” International Journal of Power Electronics and Drive System, Vol.7, No.4, Dec 2016, pp.1283-1293.
  • 7. Int J Pow Elec & Dri Syst ISSN: 2088-8694  Comparison of Different Control Techniques for Interleaved DC-DC converter (M. Kavitha) 647 [9] B V Rajanna, Ganta Joga Rao,S.K Shrivstava, “Defining Control Strategies for Micro Grids Islanded operation with Maximum Power Point Tracking using a Fuzzy Logic Control Scheme,” International Journal of Power Electronics and Drive System, Vol.7, No.3, September 2016,pp.723-733. [10] N. S K Sastry, Dr. S. Pattnaik" "Reduction of Ripple in a single phase buck converter by Fuzzy logic control", International Journal of Engineering Research and Applications (UERA) , May-Jun 2012,Vol. 2(3), pp.2202-2204. [11] S.Verma, S.K Singh, "Overview of control Techniques for DC-DC converters", Research Journal of Engineering Sciences, August 2013, Vol.2(8), pp.18-21. BIOGRAPHIES OF AUTHORS M.Kavitha has received her B.E degree in Electrical and Electronics Engineering from Bharathiyar University, Tamilnadu, India in 2000 and M.E degree in Power Systems Engineering from Anna University, Tamilnadu, India in 2012. She is pursuing her Ph.D under the faculty of Electrical and Electronics Engineering at Sathyabama Institute of Science and Technology from 2014. Her research interest includes Renewable Energy sources, Energy storage system, Fuzzy logic controller, Artificial Neural network and Power Electronic Converters. Dr.V.Sivachidambaranathan received his M.E. degree in Power Electronics and Industrial Drives from Sathyabama Institute of Science and Technology, Chennai in 2005 and obtained his Ph.D. degree in the Faculty of Electrical Engineering from Sathyabama University, Chennai in the year 2013. He is currently working as Associate Prof. and Head of the Department of Electrical and Electronics Engineering, Head - Internal Exam Cell, at Sathyabama Institute of Science and Technology, Chennai. His research interest includes power converter, drives and control and renewable energy sources.