Reduction of switching losses in vsc using dc link fuzzy logic controller

Innovative Systems Design and Engineering www.iiste.org
ISSN 2222-1727 (Paper) ISSN 2222-2871 (Online)
Vol 3, No 3, 2012

Reduction of Switching Losses in VSC Using DC Link Fuzzy
Logic Controller
V.Manoj* K.Manohar, B.Durga Prasad
Department of Electrical and Electronics Engineering, Gitam University, Visakhapatnam 530045,
Andhra Pradesh, India
* jonam287@gmail.com

Abstract
The main objective of a soft switching circuit is to reduce the switching losses in a static converter when is
switched at high frequency. In this paper a DC link fuzzy logic controller applied to a VSC (voltage source
converter). The lossless switching is tested in a parallel VSC and is verified the effect of the soft switching
circuit in MATLAB-SIMULINK. During the switching interval some power is dissipated in power
transistors. A VSC in parallel to the DC link is added in simulation to show the instantaneous power in any
switch.
Keywords: fuzzy logic controller with rule-viewer, dc link, soft switching, voltage source inverter, lossless
switching

1. Introduction
Resonant DC link inverters allow soft switching of semiconductor power devices. Soft switching provides
an effective means of reducing device stress and switching losses. The term soft switching means the
devices are switched only when the voltage across the device and/or current through the device is zero
resulting in zero voltage switching (ZVS) or zero current switching (ZCS). The most common soft
switching circuits use a LC resonant tank to link the power supply to the switching circuit. Normally the
resonant circuit oscillates between zero and twice the supply voltage and ZVS occurs when the link voltage
is zero. The switching losses limit the useable switching frequency. For this reason, the reduction of
switching losses with resonant or soft switching topologies is necessary. PWM Inverter is an important
circuit in Power Electronics and Drives System. Its application includes induction motor drives, AC power
supplies and actuation system. For higher output power, typically greater 2kVA, three phase system will be
more appropriate. The main use of fuzzy control system is based on empirical rules is more effective. Fuzzy
control can be used to improve existing traditional control systems by adding a layer of intelligence to the current
control method. The new HVDC system based on the voltage source converters (VSCs) and pulse width
modulation (PWM) known as VSC – HVDC shown in figure 1.VSC-HVDC has many advantages
compared with the traditional HVDC one advantage is possible support of weak AC systems or even
passive systems without phase change voltage.

2. DC Link Model
This model consists of IGBT’s, Capacitor and Inductor. The circuit is connected in between supply and VSC
to make DC link voltage zero when converter changes its stages. The link consists of three controllable
switches and diodes D1,D2,D3. Here Lr and Cr are the resonant components. The voltage (VCr) and current.
(ICr) are the corresponding signals in the capacitor which is given to the fuzzy controller as input..
3. Fuzzy Logic Control
The fuzzy logic controller consists of Fuzzy Inference System Editor. The simulation of soft switching circuit is
developed in this FIS editor. VCr and ICr are the inputs of the fuzzy controller. The output of the controller is crisp
value. This Graphical User Interface consists of FIS Editor, Membership function Editor, Rule Editor, Rule Viewer
and Surface Viewer.

57

Vol 3, No 3, 2012

4. Soft Switching Scheme Simulink
The soft switching scheme consists of a DC link block and fuzzy controller with Rule Viewer. The
output of the DC link VCr and ICr signals are given to the fuzzy controller which generates the activation
order of switches in the resonant block. The output of the DC link are showed in figure 10.The crisp output is
given to the matlab embedded function block. It generates the timing signals T1,T2,T3 to the IGBT switches
in the DC link block.

5. Soft Switching Verification
For the soft switching the fuzzy DC link structure is added to the full bridge converter (AC-DC) in order to
reduce the power losses in any switch of the converter. During switching interval some power is dissipated
in transistors. In order to reduce this effect, VSC in parallel to the DC link is added to show the
instantaneous power in any switch. The VSC is the chosen circuit because it is widely used in all kinds of
applications due to its controllability, compact modular design, eases of system interface and low
environmental impact. The VSC is the basic part in an electric drive; this is synthesized with SPWM signals
gating the IGBT full bridge, generating a three phase AC signal. The VSC is nested in a subsystem with a
three phase measurement and an induction as load, the PWM signals are generated depending of the
modulation index and frequency, the carrier frequency is 2 kHz. The Power dissipation waveform obtained
uses a simulation time of 0.02s. As previously stated, the diagram block depicted in figure 14 is now realized
in Simulink with the same parallel VSC with the current and voltage measurement block, figure 14shows
the connection. Figure 15 shows the reduction of inner power with the area under curve integration. The
load is not affected because it is highly inductive.

6. Conclusion
The fuzzy logic control is a good solution in non-linear and complicated decision systems like those
exposed here, in order to enable the multiple operation ranges and the changes in current of the VSC. The
proposed fuzzy logic controller provides robust and reliable control of the DC Link. The design
methodologies of the controller and simulation results are presented in this paper. The objective is make
voltage zero whenever inverter switches change statesConsiderable reduction of power in the proposed
circuit of the parallel Voltage Source Converter.

References
Shireen, W., Misir, D, Malki, H.; Arefeen, M.S (1996). “A soft switch scheme Telecommunications Energy
Conference”.
H.Ying (1993), “The simplest Fuzzy Controllers using different methods are different nonlinear
proportional-integral controllers with variable gains Automatica”, Vol. 29, NO.6,pp: 1579-1589.
Diaz, N., Barbosa, F., Trujillo, C. (2007), “Analysis and Design of a Nonlinear Fuzzy Controller Applied to
a VSC to Control the Active and Reactive Power Flow”,IEEE Proceedings, CERMA, September de
Cuernavaca Mexico.
D. M. Divan, et (1987), “Zero switching loss inverters for high power applications’’, IEEE-IAS Cod. Ret>,
pp.5 17634.
Ned Mohan et (1990). “Zero voltage switching PWM inverter for high frequency DC-AC power
conversion”, IEEE-IASconf.Rec., pp.1215-1221.
E. H. Mamdani (1974), “Application of fuzzy algorithm for control ofsimple dynamic plant“, Proc. IEEE,
121, pp.1585-1588.
Salerno, H (2001). “A Fuzzy Speed Control for a Three-phase Induction Motor”, Paper accepted for
presentation at PPT IEEE Porto Power Tech.

58

Vol 3, No 3, 2012

Chamorro, H. R (2009), “Simulation and Hardware Verification of a PD Fuzzy Speed Controller for a
Three Phase Induction Motor”,9th Electrical Power & Energy Conference EPEC.

V.Manoj born in the year 1988 is currently doing his Post Graduate course in Power systems and
automation in Electrical and Electronics Engineering, department of GITAM Institute of Technology,
GITAM University, Visakhapatnam, India, Bachelor degree in Electrical and Electronics Engineering from
JNTU Kakinada, Andhra Pradesh, India, in 2010.

K.Manohar received his master degree in Power system control and automation from JNTU Hyderabad, in
2008, Bachelor degree in Electrical Engineering from JNTU Hyderabad, India, in 2005. He is currently
working as an Assistant Professor of Electrical and Electronics Engineering department at GITAM Institute
of Technology, GITAM University, Visakhapatnam, Andhra Pradesh, India. His research interest includes
Power system protection HVDC transmission.

B.Durga Prasad received his master degree in Power system control and automation from Andhra
University, in 2008, Bachelor degree in Electrical Engineering from JNTU Hyderabad, India, in 2004. He is
currently working as an Assistant Professor of Electrical and Electronics Engineering department at
GITAM Institute of Technology, GITAM University, Visakhapatnam, Andhra Pradesh, India.

Figure 1. VSC-HVDC concept scheme

Figure 2. Soft Switching Scheme

Figure 3. Fuzzy Inference System Editor

59

Vol 3, No 3, 2012

Figure 3 depicts that the Fuzzy Inference System Editor consists of two input variables i.e., Current, Voltage and one
Output variable.

Figure 4. Membership Function characterizing the current input

Figure 5. Membership Function characterizing the voltage input

Figure 6. Output Membership Function

Here the Membership Functions characterizing the current, voltage inputs and output with linguistic variables.
Current input ranges from [-20 30], Voltage input ranges from [-100 600] and Output ranges from [-20 20].

60

Vol 3, No 3, 2012

Figure 7. Rule view of input membership functions

The rule viewer displays the fuzzy inference process according to rule editor and fuzzy editor. The three
small plots across the top of the figure represent the antecedent and consequent of the first rule.

Figure 8. Surface view of input membership functions

61

Vol 3, No 3, 2012

Figure 9. Fuzzy DC Link structure in simulink

Figure 10. Waveforms Simulations of Switching Scheme
Time

62

Vol 3, No 3, 2012

Figure 11. Voltage source inverter

Figure 12.Without soft switching circuit

Figure 12 depicts that the VSC is nested in a subsystem with a three phase measurement and an induction
as load, the PWM signals are generated depending of the modulation index and frequency, the carrier
frequency is 2 kHz.

63

Vol 3, No 3, 2012

Time
Figure 13. IGBT Power dissipation without soft switching circuit
Figure 13 depicts that the power dissipated in the without soft switching circuit is 117 Watts.

Figure 14. System with fuzzy DC link controller (Fuzzy DC link controller is added in parallel with
inverter).

Figure 15. IGBT Power dissipated with soft switching circuit
Time
Figure 15 depicts that the power dissipated in the soft switching circuit is 14 Watts and switching loss is less
when compared to without fuzzy controller which has 117 Watts.

64

Vol 3, No 3, 2012

Table 1. Fuzzy rule base decision table

Vc/Ic N Z PS PL

N NL NL PM PM

Z NL PS PS NM

PS PL PL NS NM

PL PL PL NS NS

The decision table of control rule base determine what switch must turn off or on, due to the current and
voltage changes. The above table consists of 16 rules.
The rules can be written as follows:

1.If Ic is N and Vc is N THEN OUTPUT is NL
2.If Ic is N and Vc is Z THEN OUTPUT is NL
3.If Icis N and Vc is PS THEN OUTPUT is PL

65

Reduction of switching losses in vsc using dc link fuzzy logic controller

Recommended

More Related Content

What's hot (19)

Similar to Reduction of switching losses in vsc using dc link fuzzy logic controller (20)

More from Alexander Decker (20)

Recently uploaded (20)

Reduction of switching losses in vsc using dc link fuzzy logic controller