Download Paper Title (use style: paper title)

46th ISTE Annual National Convention & National Conference 2017
International Journal of Advance Research and Innovation (ISSN 2347 – 3258)
Simulation based Performance of Buck-Boost
Converter with Fuzzy Controller Implementation for
DC Load
Amandeep Singh Ghatora[1] Sahil Chabbra[2] Nadhim Garg[3]
1
Assistant professor, EE
Baba Heera Singh Batthal Institue of Engineering and Technology
Lehragaga, Punajb,India
[email protected]
2
Assistant professor, CSED
Gulzar Group of Institute
Ludhiana, India
[email protected]
3
M.E (Power Systems)
[email protected]
Abstract— In this paper fuzzy logic controller is the technique of
artificial intelligence which is basically used for switching or gate
pulses for a buck-boost converter. The Fuzzy logic controller is based
on rule making technique. This paper is related to the performance of
output waveforms of separately excited DC motor load in Matlab
simulation. In this technique switching sequences of MOSFET for the
DC load under Fuzzy rule based is implemented in the simulation. It
is simple and stable, reliable technique for the converter circuit.
Keywords— Buck-Boost Converter, DC Motor, Fuzzy Controller.
1.
INTRODUCTION
In the study of digital and fuzzy sets , fuzzy set theory is
going to become an advance technology for the analysis or
implementation .The Fuzzy logic controller is most usable
technique in latest power electronic circuitry[1] In this
technique we can make different rules instead of taking
numbers. In inputs and outputs are combined under different
rules which are described under mamdani rule based[2] Fuzzy
sets are computed under membership function for the
calculation of desired input conditions.The Fuzzy logic
controller has faster response in transient conditions as
compare to other controller like PI, PID etc. It is more robust
technique of control system which are desicribed in [3]. The
buck-boost converter ‘s MOSFET switching is controlled
under the fuzzy logic controller under the different rule
formation in fuzzy set. The DC motor load is implemented
Under this power circuit[4,5]. The block diagram with
different blocks are described as
Fig.1. Block diagram of proposed work for buck-boost
converter with fuzzy controller for DC
In this study the implementation of separately excited DC
machine loads for buck-boost converter for fuzzy logic
controller for MOSFET switching. The results of
simulation are recorded under waveforms in Matlab simulink.
2.
BUCK BOOST CONVERTER
It is the type of switched mode power supply that will operate
with the combination of buck converter and boost converter
principles in a single circuit. It will provide variable output
DC voltage. In the operation of buck converter output voltage
will less than the input supply voltage, but in case of boost
converter output voltage will more than the input. So that in
the combined operation of DC-DC converter both ranges of
1
Gulzar Group of Institutes, Ludhiana, Punjab-141401 (INDIA)
46th ISTE Annual National Convention & National Conference 2017
International Journal of Advance Research and Innovation (ISSN 2347 – 3258)
voltages are coming out for the power electronic circuitry.
Circuit diagram of buck-boost converter is given as.
The output results of fuzzy logic as rule based for the error as
input and output is the duty cycle for the circuitry
Fig.2 Circuit diagram of buck-boost converter with fuzzy
controller with DC machine.
In above circuitry fuzzy logic controller block is represented
under the error detection for switching of the MOSFET . The
output load is basically a DC machine is preferred for output
waveform analysis. The actual voltage at output terminals are
compared with reference values of voltage. Which is further
analysis under the rule based technique of fuzzy sets.
Mathematically duty cycle is explained as continuous mode
performance of converter as well as discontinuous mode of
operation with the variation of duty cycles(D). Basically
output voltage for continuous mode is ratio of duty cycle (D)
to the (1-D).
2.
Fig.3. Representation of triangular and trapezoidal
membership functions in mamdani.
.
FUZZY SETS
In the study of fuzzy sets, it is an efficient technique for the
control system as compared to other control techniques like
PI, PD,PID etc. The linguistic variables of fuzzy sets are used
in rule based to make the proper system requirement. In case
of error as an input variable for fuzzy logic is prepared under
the truth table for the calculation of duty cycles for MOSFET
switching in buck boost converter. In simple fuzzy set it is the
combination of membership function which are able to
compute the results under the designed rule based in
mammdani in Matlab.The different type of membership
functions are available in mammdani. In this technique
triangular and trapezoidal membership functions are used
3.
Fig.4. Output results under the fuzzy sets rule based in Matlab
for duty cycles.
boost converter . In the power electronic circuitry different
blocks are used as per requirement of performance of DC
machine as a load. The simulation performance of circuitry of
Buck-Boost converter with fuzzy logic controller is designed
SIMULATION RESULTS
The simulation of the proposed network is recorded for
different waveforms under the circuitry design for the buck
2
Gulzar Group of Institutes, Ludhiana, Punjab-141401 (INDIA)
46th ISTE Annual National Convention & National Conference 2017
International Journal of Advance Research and Innovation (ISSN 2347 – 3258)
under the rule based technique. In Matlab simulink the
circuitry design is described as
Fig.7 Output waveforms for fuzzy controller logic for the
generation of gate pulses.
Fig.5. Circuit diagram of the proposed work of buck-boost
converter for DC machine load.
Output waveforms are recorded at different points , which are
basically described as per performance of fuzzy logic
controller for MOSFET switching .
Fig .8. Output waveforms for DC machine load which is
compared with voltage reference(Vref).
Fig .6. Output waveforms for duty cycle for MOSFET
switching for buck-boost converter.
Fig.9. Output waveforms recorded for fuzzy controller, duty
cycle, output waveform of comparator with Vref with time
simulation of 10seconds.
3
Gulzar Group of Institutes, Ludhiana, Punjab-141401 (INDIA)
46th ISTE Annual National Convention & National Conference 2017
International Journal of Advance Research and Innovation (ISSN 2347 – 3258)
[5] A. Bakhti and L. Benbaouche, “Simulink-DSP Co- Design
of Fuzzy Logic Controller”, IEEE Explore, Jan. 2006, pp:
4587-4592.
[6] N. Mohan, T. M. Undulant W. P. Robbins, “Power
Electronics”, John Wiley, 1995.
[7] B.C.Kuo, “Automatic Control Systems”, New Jersey:
Prentice-Hall, 1995.
Fig. 10. Output waveforms of speed and torque for DC
machine.
5. CONCLUSION
In the simulation study of this paper represents the analysis of
Buck-Boost Converter with fuzzy logic for DC machine load.
The variation of output voltage can be stabilize under the
variation of duty cycles with performance of fuzzy logic
controller as rule based. In the continuous mode of operation
of converter the variation of different parts like duty cycle,
fuzzy controller, DC machine are recorded with proper
waveforms in Matlab simulink. The use of fuzzy logic
controller is more reliable, efficient and simple circuit
designing as compare to other control strategies. Basically
reference voltage variation with feedback is recorded under
the waveforms.
6. REFERENCES
[1] Everett Rogers, “Understanding Buck-Boost Power Stages
in Switch Mode Power Supplies” Texas Instrument
Application Report, 2002 .
[2] Mohd Azri Bin Akhiak, “Development Of Rotary Crane
System Controller Using Fuzzy Logic Controller: Membership
Function Study” Master thesis, University Tun Hussein Onn
Malaysia, 2012 .
[3] Han-Xiong Li, Lei Zhang, Kai-Yuan Cai, And Guanrong
Chen,“An Improved Robust Fuzzy-PID Controller With
Optimal Fuzzy Reasoning,” IEEE Transactions On Systems,
Man, And Cybernetics Part B: Cybernetics, Vol. 35, Issue No.
6, pp. 1283-1292, December 2005.
[4] Rem Langari,”Past, Present and Future of Fuzzy Control:
A Case for Application of Fuzzy Logic In Hierarchical
Control,” IEEE Transaction on Industry applications, pp.760765, 1999.
4
Gulzar Group of Institutes, Ludhiana, Punjab-141401 (INDIA)